This document is the 2021 Massachusetts Integrated HIV, STD and Viral Hepatitis Surveillance Report published by the Massachusetts Department of Public Health. It provides data on reported cases of HIV, STDs, viral hepatitis and other infectious diseases in Massachusetts in 2021 and previous years. The report includes statistics on reported cases by gender, age, geographic location, transmission route and other important epidemiological information. It is intended to inform public health surveillance, policymaking and clinical practice.
Lectura complementaria. Social determinants of health and COVID-19 infection ...AlexcisAguirre
Socioeconomic factors influenced the evolution and impact of the COVID-19 pandemic in Brazil. The study found that 59.8% of the variation in COVID-19 incidence rates across Brazilian states was explained by income inequality, high population density, and mortality rates. Similarly, those same factors explained 57.9% of the variation in COVID-19 mortality rates across states. States with higher levels of socioeconomic vulnerability tended to have higher COVID-19 incidence and mortality. Comprehensive actions are needed to support economic conditions and strengthen health systems for vulnerable populations.
Laura Bamford, MD, MSCE
Associate Professor of Medicine
Medical Director, Owen Clinic
Division of Infectious Diseases and Global Public Health
Department of Medicine
University of California, San Diego
ANALYSIS OF COVID-19 IN THE UNITED STATES USING MACHINE LEARNINGmlaij
The unprecedented outbreak of COVID-19 also known as the coronavirus has caused a pandemic like none
ever seen before this century. Its impact has been massive on a global level. The deadly virus has
commanded nations around the world to increase their efforts to fight against the spread of the virus after
the stress it has put on resources. With the number of new cases increasing day by day around the world,
the objective of this paper is to contribute towards the analysis of the virus by leveraging machine learning
models to understand its behavior and predict future patterns in the United States (US) based on data
obtained from the COVID-19 Tracking Project.
Analysis of Covid-19 in the United States using Machine Learningmlaij
The unprecedented outbreak of COVID-19 also known as the coronavirus has caused a pandemic like none ever seen before this century. Its impact has been massive on a global level. The deadly virus has commanded nations around the world to increase their efforts to fight against the spread of the virus after the stress it has put on resources. With the number of new cases increasing day by day around the world, the objective of this paper is to contribute towards the analysis of the virus by leveraging machine learning models to understand its behavior and predict future patterns in the United States (US) based on data obtained from the COVID-19 Tracking Project.
Over a 6-month period from June to November 2020, the cumulative COVID-19 infection prevalence rate among US dentists was 2.6%, representing 57 dentists who received a COVID-19 diagnosis. The monthly incidence rates of COVID-19 among dentists ranged from 0.2% to 1.1%. Throughout the study, nearly all dentists reported adhering to enhanced infection control procedures like wearing personal protective equipment (PPE). However, the proportion of dentists optimizing PPE use, such as changing masks after each patient, declined over time. The low rates of COVID-19 suggest dentists' strict adherence to guidance is protecting patients, staff, and themselves, though continued emphasis on optimal PPE is important
- In 2020, an estimated 2.78 million children and adolescents aged 0-19 were living with HIV globally. The burden remains highest in sub-Saharan Africa, home to 88% of this population.
- Only 85% of pregnant women living with HIV received treatment to prevent mother-to-child transmission in 2020, falling short of global targets. As a result, 160,000 children aged 0-9 newly acquired HIV in 2020, over eight times higher than the target.
- The COVID-19 pandemic exacerbated challenges, resulting in major disruptions to HIV services and declines in infant testing and pediatric treatment initiations. However, it also highlighted the need for more equitable health systems.
An empirical estimate of the infection fatality rate of COVID-19 from the fir...Guy Boulianne
1. The study estimates the infection fatality rate of COVID-19 in one of the hardest hit areas in Lombardy, Italy using demographic and death records data without relying on testing or death count data.
2. They estimate an overall infection fatality rate of 1.29% but find large differences by age, with a low rate of 0.05% for under 60 years old and a higher 4.25% for people over 60.
3. Sensitivity analysis found that even if only 10-15% of the population was infected, the fatality rate would still be below 1% for under 60s, showing COVID-19 has a low lethality for younger people but higher rates for older
Dr. Kathleen Brady (AACO)'s annual epidemiological update. This presentation was given to the Philadelphia EMA Ryan White Planning Council on Thursday, February 20, 2014.
Lectura complementaria. Social determinants of health and COVID-19 infection ...AlexcisAguirre
Socioeconomic factors influenced the evolution and impact of the COVID-19 pandemic in Brazil. The study found that 59.8% of the variation in COVID-19 incidence rates across Brazilian states was explained by income inequality, high population density, and mortality rates. Similarly, those same factors explained 57.9% of the variation in COVID-19 mortality rates across states. States with higher levels of socioeconomic vulnerability tended to have higher COVID-19 incidence and mortality. Comprehensive actions are needed to support economic conditions and strengthen health systems for vulnerable populations.
Laura Bamford, MD, MSCE
Associate Professor of Medicine
Medical Director, Owen Clinic
Division of Infectious Diseases and Global Public Health
Department of Medicine
University of California, San Diego
ANALYSIS OF COVID-19 IN THE UNITED STATES USING MACHINE LEARNINGmlaij
The unprecedented outbreak of COVID-19 also known as the coronavirus has caused a pandemic like none
ever seen before this century. Its impact has been massive on a global level. The deadly virus has
commanded nations around the world to increase their efforts to fight against the spread of the virus after
the stress it has put on resources. With the number of new cases increasing day by day around the world,
the objective of this paper is to contribute towards the analysis of the virus by leveraging machine learning
models to understand its behavior and predict future patterns in the United States (US) based on data
obtained from the COVID-19 Tracking Project.
Analysis of Covid-19 in the United States using Machine Learningmlaij
The unprecedented outbreak of COVID-19 also known as the coronavirus has caused a pandemic like none ever seen before this century. Its impact has been massive on a global level. The deadly virus has commanded nations around the world to increase their efforts to fight against the spread of the virus after the stress it has put on resources. With the number of new cases increasing day by day around the world, the objective of this paper is to contribute towards the analysis of the virus by leveraging machine learning models to understand its behavior and predict future patterns in the United States (US) based on data obtained from the COVID-19 Tracking Project.
Over a 6-month period from June to November 2020, the cumulative COVID-19 infection prevalence rate among US dentists was 2.6%, representing 57 dentists who received a COVID-19 diagnosis. The monthly incidence rates of COVID-19 among dentists ranged from 0.2% to 1.1%. Throughout the study, nearly all dentists reported adhering to enhanced infection control procedures like wearing personal protective equipment (PPE). However, the proportion of dentists optimizing PPE use, such as changing masks after each patient, declined over time. The low rates of COVID-19 suggest dentists' strict adherence to guidance is protecting patients, staff, and themselves, though continued emphasis on optimal PPE is important
- In 2020, an estimated 2.78 million children and adolescents aged 0-19 were living with HIV globally. The burden remains highest in sub-Saharan Africa, home to 88% of this population.
- Only 85% of pregnant women living with HIV received treatment to prevent mother-to-child transmission in 2020, falling short of global targets. As a result, 160,000 children aged 0-9 newly acquired HIV in 2020, over eight times higher than the target.
- The COVID-19 pandemic exacerbated challenges, resulting in major disruptions to HIV services and declines in infant testing and pediatric treatment initiations. However, it also highlighted the need for more equitable health systems.
An empirical estimate of the infection fatality rate of COVID-19 from the fir...Guy Boulianne
1. The study estimates the infection fatality rate of COVID-19 in one of the hardest hit areas in Lombardy, Italy using demographic and death records data without relying on testing or death count data.
2. They estimate an overall infection fatality rate of 1.29% but find large differences by age, with a low rate of 0.05% for under 60 years old and a higher 4.25% for people over 60.
3. Sensitivity analysis found that even if only 10-15% of the population was infected, the fatality rate would still be below 1% for under 60s, showing COVID-19 has a low lethality for younger people but higher rates for older
Dr. Kathleen Brady (AACO)'s annual epidemiological update. This presentation was given to the Philadelphia EMA Ryan White Planning Council on Thursday, February 20, 2014.
Supplementary Actuarial Analysis of HIV/AIDS in Lagos State, NigeriaHFG Project
This document provides a supplementary actuarial analysis of including HIV/AIDS coverage in the Lagos State Health Scheme benefit package in Nigeria. It estimates the total additional medical cost to cover HIV/AIDS services would be 209.40 Naira per person per year, broken down into costs for HIV testing and counseling (13.60), antiretroviral therapy (133.05), and preventing mother-to-child transmission (15.96). The analysis is based on HIV service data from 2012-2016 and projected population and drug cost data from the Lagos State Ministry of Health. It assumes a 90% continuation and conversion rate for antiretroviral therapy and a 6.5% annual medical cost trend.
Analysis of the efficiency of public policies in municipalities, with a popul...IJAEMSJORNAL
Pandemics, such as that of COVID-19, affect a large number of people, imposing new rules and social habits on them, aiming to modify the behavior that influences economic and social problems. In this context, the objective of this study was to be investigative, using the DEA tool (data envelopment analysis), seeking the efficiency of proposed and economic measures, seeking to assist them and also public policies in improving planning, trying to avoid problems such as those caused by the current pandemic. This is a cross-sectional and quantitative study, of an exploratory nature, carried out with data from the 10th. Region of the state of São Paulo, based on municipalities with 10,000, or more, inhabitants in the time interval from 05/03/2020 to 05/05/2021. This work is justified by the fact that the COVID-19 pandemic exposes structural weaknesses, economic differences and bottlenecks in the Brazilian health system, especially the lack or uneven distribution, in the territory, of health professionals and health professional, infrastructure, as well as limited production capacity, poor income distribution, the human development index and, still, the glaring differences in the GDP of the municipalities. It has been noted that 53% of the municipalities are deficient and that only 47% of them are above the average ideal efficiency rate of 0.823150. It is concluded, in this work, that the economic and social factors need to be better addressed and that social distance, the use of masks and personal hygiene must be encouraged by the representatives of the public power, in order to avoid a greater number of deaths.
The document discusses updates on Multisystem Inflammatory Syndrome in Children (MIS-C) including epidemiology, the case definition, and COVID-19 vaccination. It summarizes national surveillance data showing over 9,000 MIS-C cases reported in the US from 2020 to 2022, with the majority in males and non-Hispanic Black or Hispanic children. Trends over time show declining MIS-C incidence, especially with Omicron variants, and a shift to younger age groups affected. The presentation also discusses the new Council of State & Territorial Epidemiologists (CSTE)/CDC surveillance case definition for MIS-C which aims to standardize surveillance in response to limitations identified in the original CDC definition.
Ruan2020 likelihood of survival of coronavirus disease 2019Nilda Vllacres
This document discusses estimates of the case fatality ratio (CFR) for COVID-19. The CFR is an important indicator of disease severity and public health impact. Early estimates of the CFR for COVID-19 have varied from 1.4-3.8% depending on datasets and time periods. A recent study estimated an overall CFR of 1.38% in China, increasing with age. Comparisons show COVID-19's CFR is much higher than seasonal flu across all age groups, highlighting it is more severe. Early detection and treatment can help control outbreaks and lower the CFR.
THE ROLE OF STATE-WIDE STAY-AT-HOME POLICIES ON CONFIRMED COVID-19 CASES IN T...hiij
In January 2020, the first confirmed case of the novel severe acute respiratory syndrome coronavirus 2 emerged in the United States of America. By March 2020, the USA had eclared a national emergency and implemented stay-at-home policies subject to the individual initiative of health authorities of each state. However, ambiguity in the literature exists about the extent to which temporal variation of stay-at-home implementation contributes to an effective stay-at-home order. To examine the role of the implementation of stay-at-home policy at the county level on outbreak progression, we compiled the case count data and dates of policy commencement for 1720 counties from the US Counties: Socio-Health Data database. Measures of central tendency and rate of change identified correlation between the change of confirmed case counts compared to time, quantified by comparing four successive time points of 5 days to the initial date of each county’s stay-at-home implementation. We then used a deterministic county-level SIR epidemiological model to predict post stay-at-home case counts based on pre-stay-at-home parameters and compared the model to actual post-stay-at-home case counts to identify the degree of error Mean Squared Error (MSE). Our analyses demonstrated the high error between time since stay-at-home implementation and change in actual case counts compared to predicted case counts, which suggests an interaction between policy and COVID-19 transmission. Our findings shine light on the confounding variables of stay-at-home policy at the county level and the promising outlook of stay-at-home policy in the USA.
THE ROLE OF STATE-WIDE STAY-AT-HOME POLICIES ON CONFIRMED COVID-19 CASES IN T...hiij
In January 2020, the first confirmed case of the novel severe acute respiratory syndrome coronavirus 2
emerged in the United States of America. By March 2020, the USA had declared a national emergency and
implemented stay-at-home policies subject to the individual initiative of health authorities of each state.
However, ambiguity in the literature exists about the extent to which temporal variation of stay-at-home
implementation contributes to an effective stay-at-home order. To examine the role of the implementation
of stay-at-home policy at the county level on outbreak progression, we compiled the case count data and
dates of policy commencement for 1720 counties from the US Counties: Socio-Health Data database.
Measures of central tendency and rate of change identified correlation between the change of confirmed
case counts compared to time, quantified by comparing four successive time points of 5 days to the initial
date of each county’s stay-at-home implementation. We then used a deterministic county-level SIR
epidemiological model to predict post stay-at-home case counts based on pre-stay-at-home parameters
and compared the model to actual post-stay-at-home case counts to identify the degree of error Mean
Squared Error (MSE). Our analyses demonstrated the high error between time since stay-at-home
implementation and change in actual case counts compared to predicted case counts, which suggests an
interaction between policy and COVID-19 transmission. Our findings shine light on the confounding
variables of stay-at-home policy at the county level and the promising outlook of stay-at-home policy in the
USA.
07 Trend in ethiopia for last 26 years.pdfAMANUELMELAKU5
After declining for decades, HIV infection rates in Ethiopia have begun to rise again in recent years. While new HIV infections declined by 81% between 1995 and 2016, the rate of decline has slowed and infections have increased by 10% since 2008. Current estimates indicate that 67% of people living with HIV know their status, and Ethiopia is on track to meet treatment targets but may fall short of the first 90% diagnosis goal by 2020. Regional disparities remain, with higher infection rates in some areas like Gambela compared to the national average. Continued efforts are needed to accelerate diagnosis and avert further increases in new infections.
The document discusses Alberta's shift from a pandemic to endemic approach to COVID-19. It provides context for the decision by examining broader impacts of measures like mental health effects, drops in cancer screening and immunizations, and increasing issues like opioid deaths and surgical backlogs. It also reviews factors considered like vaccine effectiveness, modeling of hospitalizations, and evidence that severity and impacts on children are not increased by the Delta variant. The approach aims to integrate COVID-19 management with other respiratory viruses while maintaining health system capacity.
Chapter 7 Discussion- Hundreds of hospitals- clinics- and health depar.pdfaonetelecompune
Chapter 7 Discussion. Hundreds of hospitals, clinics, and health departments automatically
report certain symptoms and diagnoses to the government each day. This practice of
biosurveillance helps officials track the spread of flu, detect outbreaks, and watch for odd
symptoms that might signal a brand new disease or bioterrorism. Although information is
reported daily, doctors rarely know what their colleagues nearby are diagnosing. Instead they
often call the health department to ask if anyone has heard of any outbreak of certain cases.
Work is being done to create a mechanism to track diseases before they become outbreaks (CNS
News 2011). Researchers are working on technology that will link local biosurveillance to
electronic health records, and even mobile applications. Providing data on the amount of disease
or infection that is spreading locally can improve diagnosis and treatment methods. Federal
health officials are working to create an easy-to-use web tool that will allow doctors and
consumers to search for local surveillance information. Websites and mobile applications such as
HealthMap, CDC Influenza, and Flu Near You are tools used to track cases in specific areas.
Explore the Web sites (links in the Module) for the CDC, the California Department of Health
Division of Communicable Disease Control, CalREDIE, and HealthMap. HealthMap has a video
in the About section explaining how they gather data and how it can be used . As you explore
these sites look for information on current disease outbreaks. Through the disease reporting in
various databases you can see that information is becoming more widely available to healthcare
providers and the public. Coronavirus (COVID-19) world-wide is being monitored through the
World Health Organization. Links to an external site.US cases are tracked in local and state
databases and nationally by the CDCLinks to an external site. and Johns Hopkins Corona Virus
Resource CenterLinks to an external site. (global and US tracking) We are entering the time of
year, there is always a high incidence of influenza and the CDC reports weekly tracking of
positive testing for influenza. Influenza Surveillance Report.Links to an external site. The 2022-
2023 flu season is just ending and tracking for the 2023-2024 begins. The California Department
of Public Health recently reported that sexually transmitted diseases reached a new high in
California. Link to the article.Links to an external site. Specified diseases and conditions are
mandated by state laws and regulations to be reported by healthcare providers and laboratories to
the local health officer - reportable diseases in California. Discussion Instructions: In the
discussion thread describe information you found on current outbreaks that are occurring
nationally and/or in California. How does technology and the availability of secondary data
sources help healthcare providers in treating patients? In your post, provide at least one reason
why technology is.
This document summarizes a study on the economic impact of HIV/AIDS in Botswana. It finds that HIV/AIDS has had a substantial negative impact on Botswana's economy, reducing average real GDP growth by 1.5-2% per year without widespread ART provision. ART provision offsets some negative impacts, but HIV/AIDS still reduces growth by around 1.2% per year and lowers the economy by 23% compared to a scenario without HIV/AIDS. The study updates previous analyses and models the economic effects through 2021 under different scenarios.
How a U.S. COVID-19 Data Registry Fuels Global ResearchHealth Catalyst
In addition to driving COVID-19 understanding within the United States, a national disease registry is informing research beyond U.S. borders. Clinicians with the Singapore Ministry of Healthcare Office for Healthcare Transformation (MOHT) have used Health Catalyst Touchstone® COVID-19 data to develop a machine learning tool that helps predict the likelihood of COVID-19 mortality. With this national data set that leverages deep aggregated EHR data, the MOHT accessed the research-grade data it needed to build a machine-learning algorithm that predicts risk of death from COVID-19. The registry-informed prediction model was accurate enough to stand up to comparisons in the published literature and promises to help inform vaccine research and, ultimately, allocation of vaccines within populations.
Dr. Kathleen Brady of Philadelphia's AIDS Activities Coordinating Office (AACO) gave this presentation at the January 9, 2013 Comprehensive Planning Committee meeting.
Statement on the National HIV/AIDS Strategy for the United StatesDana Asbury
The National HIV/AIDS Strategy for the United States: Updated to 2020 (“NHAS 2020”) is a critically important and compelling review of the status of our nation’s response to the HIV epidemic in America and an action plan for the continuing fight.
The document is Kansas' comprehensive HIV prevention program plan for 2012-2016. It provides contact information for the program and describes the required and recommended program components being implemented, including HIV testing, prevention with positives, condom distribution, and evidence-based interventions. It identifies the cities bearing the largest burden of HIV in Kansas and the funding allocated to each. Goals, objectives, and annual targets are provided for expanding HIV testing, linking those infected to care, and enrolling high-risk negatives in prevention programs.
The 2007 AIDS Epidemic Update from UNAIDS and WHO provides revised estimates of the global HIV/AIDS epidemic due to improvements in estimation methodologies. Key findings include:
- The estimated number of people living with HIV decreased 16% to 33.2 million, largely due to changes in India's estimates.
- Global HIV prevalence has stabilized at around 0.8% since 2001, though localized declines are occurring in some countries.
- Estimated new HIV infections in 2007 were 2.5 million, declining from a peak of over 3 million in the late 1990s likely due to prevention efforts.
- AIDS deaths in 2007 were estimated at 2.1 million, showing declines in recent years partly
The Correlation between HPV Vaccination Rate and Income Inequalityhiij
According to the 2018 National Immunization Survey - Teen (NIS-Teen), the human papillomavirus (HPV) vaccination coverage in the U.S. increased from 48.6% to 51.1%.[1] Certain factors contribute to disparity between teenagers receiving HPV vaccination.[1]The factors are geography, race, gender, education level, household income, and etc. Within these factors, household income and income inequality were chosen to be the focus of this study. The relationship between HPV vaccination coverage in the U.S., the household income of interviewed individuals, and the Gini index in the U.S. have been studied in RStudio [2]. By merging the NIS-Teen data of vaccination rate and Gini index data in RStudio, charts and graphs are formed to illustrate the relationship between HPV vaccination rate and income inequality. There seem to be limited correlations between vaccination rate and Gini index, but unexpected connections between vaccination rate and household income have been found.
The Correlation between HPV Vaccination Rate and Income InequalityIJCNCJournal
According to the 2018 National Immunization Survey - Teen (NIS-Teen), the human papillomavirus (HPV) vaccination coverage in the U.S. increased from 48.6% to 51.1%.[1] Certain factors contribute to disparity between teenagers receiving HPV vaccination.[1]The factors are geography, race, gender, education level, household income, and etc. Within these factors, household income and income inequality were chosen to be the focus of this study. The relationship between HPV vaccination coverage in the U.S., the household income of interviewed individuals, and the Gini index in the U.S. have been studied in RStudio [2]. By merging the NIS-Teen data of vaccination rate and Gini index data in RStudio, charts and graphs are formed to illustrate the relationship between HPV vaccination rate and income inequality. There seem to be limited correlations between vaccination rate and Gini index, but unexpected connections between vaccination rate and household income have been found.
HCV and HIV Co-Infection among Adolescents and Young Adults in Massachusetts:...CDC NPIN
This document discusses HCV and HIV co-infection among adolescents and young adults in Massachusetts. It finds that reported HCV cases have increased significantly among those aged 15-25 since 2002, likely due to injection drug use. A data match found a small number of HIV/HCV co-infections in this age group, indicating potential for HIV prevention. Effective integrated prevention programs for both viruses are needed to address this emerging public health issue.
COPD Treatment in Ghatkopar,Mumbai. Dr Kumar DoshiDr Kumar Doshi
Are you or a loved one affected by Chronic Obstructive Pulmonary Disease (COPD)? Discover comprehensive and advanced treatment options with Dr. Kumar Doshi, a preeminent COPD specialist based in Ghatkopar, Mumbai.
Dr. Kumar Doshi is dedicated to delivering the highest standard of care for COPD patients. Whether you are seeking a diagnosis, a second opinion, or exploring new treatment avenues, this presentation will guide you through the exceptional services available at his practice in Ghatkopar, Mumbai.
Supplementary Actuarial Analysis of HIV/AIDS in Lagos State, NigeriaHFG Project
This document provides a supplementary actuarial analysis of including HIV/AIDS coverage in the Lagos State Health Scheme benefit package in Nigeria. It estimates the total additional medical cost to cover HIV/AIDS services would be 209.40 Naira per person per year, broken down into costs for HIV testing and counseling (13.60), antiretroviral therapy (133.05), and preventing mother-to-child transmission (15.96). The analysis is based on HIV service data from 2012-2016 and projected population and drug cost data from the Lagos State Ministry of Health. It assumes a 90% continuation and conversion rate for antiretroviral therapy and a 6.5% annual medical cost trend.
Analysis of the efficiency of public policies in municipalities, with a popul...IJAEMSJORNAL
Pandemics, such as that of COVID-19, affect a large number of people, imposing new rules and social habits on them, aiming to modify the behavior that influences economic and social problems. In this context, the objective of this study was to be investigative, using the DEA tool (data envelopment analysis), seeking the efficiency of proposed and economic measures, seeking to assist them and also public policies in improving planning, trying to avoid problems such as those caused by the current pandemic. This is a cross-sectional and quantitative study, of an exploratory nature, carried out with data from the 10th. Region of the state of São Paulo, based on municipalities with 10,000, or more, inhabitants in the time interval from 05/03/2020 to 05/05/2021. This work is justified by the fact that the COVID-19 pandemic exposes structural weaknesses, economic differences and bottlenecks in the Brazilian health system, especially the lack or uneven distribution, in the territory, of health professionals and health professional, infrastructure, as well as limited production capacity, poor income distribution, the human development index and, still, the glaring differences in the GDP of the municipalities. It has been noted that 53% of the municipalities are deficient and that only 47% of them are above the average ideal efficiency rate of 0.823150. It is concluded, in this work, that the economic and social factors need to be better addressed and that social distance, the use of masks and personal hygiene must be encouraged by the representatives of the public power, in order to avoid a greater number of deaths.
The document discusses updates on Multisystem Inflammatory Syndrome in Children (MIS-C) including epidemiology, the case definition, and COVID-19 vaccination. It summarizes national surveillance data showing over 9,000 MIS-C cases reported in the US from 2020 to 2022, with the majority in males and non-Hispanic Black or Hispanic children. Trends over time show declining MIS-C incidence, especially with Omicron variants, and a shift to younger age groups affected. The presentation also discusses the new Council of State & Territorial Epidemiologists (CSTE)/CDC surveillance case definition for MIS-C which aims to standardize surveillance in response to limitations identified in the original CDC definition.
Ruan2020 likelihood of survival of coronavirus disease 2019Nilda Vllacres
This document discusses estimates of the case fatality ratio (CFR) for COVID-19. The CFR is an important indicator of disease severity and public health impact. Early estimates of the CFR for COVID-19 have varied from 1.4-3.8% depending on datasets and time periods. A recent study estimated an overall CFR of 1.38% in China, increasing with age. Comparisons show COVID-19's CFR is much higher than seasonal flu across all age groups, highlighting it is more severe. Early detection and treatment can help control outbreaks and lower the CFR.
THE ROLE OF STATE-WIDE STAY-AT-HOME POLICIES ON CONFIRMED COVID-19 CASES IN T...hiij
In January 2020, the first confirmed case of the novel severe acute respiratory syndrome coronavirus 2 emerged in the United States of America. By March 2020, the USA had eclared a national emergency and implemented stay-at-home policies subject to the individual initiative of health authorities of each state. However, ambiguity in the literature exists about the extent to which temporal variation of stay-at-home implementation contributes to an effective stay-at-home order. To examine the role of the implementation of stay-at-home policy at the county level on outbreak progression, we compiled the case count data and dates of policy commencement for 1720 counties from the US Counties: Socio-Health Data database. Measures of central tendency and rate of change identified correlation between the change of confirmed case counts compared to time, quantified by comparing four successive time points of 5 days to the initial date of each county’s stay-at-home implementation. We then used a deterministic county-level SIR epidemiological model to predict post stay-at-home case counts based on pre-stay-at-home parameters and compared the model to actual post-stay-at-home case counts to identify the degree of error Mean Squared Error (MSE). Our analyses demonstrated the high error between time since stay-at-home implementation and change in actual case counts compared to predicted case counts, which suggests an interaction between policy and COVID-19 transmission. Our findings shine light on the confounding variables of stay-at-home policy at the county level and the promising outlook of stay-at-home policy in the USA.
THE ROLE OF STATE-WIDE STAY-AT-HOME POLICIES ON CONFIRMED COVID-19 CASES IN T...hiij
In January 2020, the first confirmed case of the novel severe acute respiratory syndrome coronavirus 2
emerged in the United States of America. By March 2020, the USA had declared a national emergency and
implemented stay-at-home policies subject to the individual initiative of health authorities of each state.
However, ambiguity in the literature exists about the extent to which temporal variation of stay-at-home
implementation contributes to an effective stay-at-home order. To examine the role of the implementation
of stay-at-home policy at the county level on outbreak progression, we compiled the case count data and
dates of policy commencement for 1720 counties from the US Counties: Socio-Health Data database.
Measures of central tendency and rate of change identified correlation between the change of confirmed
case counts compared to time, quantified by comparing four successive time points of 5 days to the initial
date of each county’s stay-at-home implementation. We then used a deterministic county-level SIR
epidemiological model to predict post stay-at-home case counts based on pre-stay-at-home parameters
and compared the model to actual post-stay-at-home case counts to identify the degree of error Mean
Squared Error (MSE). Our analyses demonstrated the high error between time since stay-at-home
implementation and change in actual case counts compared to predicted case counts, which suggests an
interaction between policy and COVID-19 transmission. Our findings shine light on the confounding
variables of stay-at-home policy at the county level and the promising outlook of stay-at-home policy in the
USA.
07 Trend in ethiopia for last 26 years.pdfAMANUELMELAKU5
After declining for decades, HIV infection rates in Ethiopia have begun to rise again in recent years. While new HIV infections declined by 81% between 1995 and 2016, the rate of decline has slowed and infections have increased by 10% since 2008. Current estimates indicate that 67% of people living with HIV know their status, and Ethiopia is on track to meet treatment targets but may fall short of the first 90% diagnosis goal by 2020. Regional disparities remain, with higher infection rates in some areas like Gambela compared to the national average. Continued efforts are needed to accelerate diagnosis and avert further increases in new infections.
The document discusses Alberta's shift from a pandemic to endemic approach to COVID-19. It provides context for the decision by examining broader impacts of measures like mental health effects, drops in cancer screening and immunizations, and increasing issues like opioid deaths and surgical backlogs. It also reviews factors considered like vaccine effectiveness, modeling of hospitalizations, and evidence that severity and impacts on children are not increased by the Delta variant. The approach aims to integrate COVID-19 management with other respiratory viruses while maintaining health system capacity.
Chapter 7 Discussion- Hundreds of hospitals- clinics- and health depar.pdfaonetelecompune
Chapter 7 Discussion. Hundreds of hospitals, clinics, and health departments automatically
report certain symptoms and diagnoses to the government each day. This practice of
biosurveillance helps officials track the spread of flu, detect outbreaks, and watch for odd
symptoms that might signal a brand new disease or bioterrorism. Although information is
reported daily, doctors rarely know what their colleagues nearby are diagnosing. Instead they
often call the health department to ask if anyone has heard of any outbreak of certain cases.
Work is being done to create a mechanism to track diseases before they become outbreaks (CNS
News 2011). Researchers are working on technology that will link local biosurveillance to
electronic health records, and even mobile applications. Providing data on the amount of disease
or infection that is spreading locally can improve diagnosis and treatment methods. Federal
health officials are working to create an easy-to-use web tool that will allow doctors and
consumers to search for local surveillance information. Websites and mobile applications such as
HealthMap, CDC Influenza, and Flu Near You are tools used to track cases in specific areas.
Explore the Web sites (links in the Module) for the CDC, the California Department of Health
Division of Communicable Disease Control, CalREDIE, and HealthMap. HealthMap has a video
in the About section explaining how they gather data and how it can be used . As you explore
these sites look for information on current disease outbreaks. Through the disease reporting in
various databases you can see that information is becoming more widely available to healthcare
providers and the public. Coronavirus (COVID-19) world-wide is being monitored through the
World Health Organization. Links to an external site.US cases are tracked in local and state
databases and nationally by the CDCLinks to an external site. and Johns Hopkins Corona Virus
Resource CenterLinks to an external site. (global and US tracking) We are entering the time of
year, there is always a high incidence of influenza and the CDC reports weekly tracking of
positive testing for influenza. Influenza Surveillance Report.Links to an external site. The 2022-
2023 flu season is just ending and tracking for the 2023-2024 begins. The California Department
of Public Health recently reported that sexually transmitted diseases reached a new high in
California. Link to the article.Links to an external site. Specified diseases and conditions are
mandated by state laws and regulations to be reported by healthcare providers and laboratories to
the local health officer - reportable diseases in California. Discussion Instructions: In the
discussion thread describe information you found on current outbreaks that are occurring
nationally and/or in California. How does technology and the availability of secondary data
sources help healthcare providers in treating patients? In your post, provide at least one reason
why technology is.
This document summarizes a study on the economic impact of HIV/AIDS in Botswana. It finds that HIV/AIDS has had a substantial negative impact on Botswana's economy, reducing average real GDP growth by 1.5-2% per year without widespread ART provision. ART provision offsets some negative impacts, but HIV/AIDS still reduces growth by around 1.2% per year and lowers the economy by 23% compared to a scenario without HIV/AIDS. The study updates previous analyses and models the economic effects through 2021 under different scenarios.
How a U.S. COVID-19 Data Registry Fuels Global ResearchHealth Catalyst
In addition to driving COVID-19 understanding within the United States, a national disease registry is informing research beyond U.S. borders. Clinicians with the Singapore Ministry of Healthcare Office for Healthcare Transformation (MOHT) have used Health Catalyst Touchstone® COVID-19 data to develop a machine learning tool that helps predict the likelihood of COVID-19 mortality. With this national data set that leverages deep aggregated EHR data, the MOHT accessed the research-grade data it needed to build a machine-learning algorithm that predicts risk of death from COVID-19. The registry-informed prediction model was accurate enough to stand up to comparisons in the published literature and promises to help inform vaccine research and, ultimately, allocation of vaccines within populations.
Dr. Kathleen Brady of Philadelphia's AIDS Activities Coordinating Office (AACO) gave this presentation at the January 9, 2013 Comprehensive Planning Committee meeting.
Statement on the National HIV/AIDS Strategy for the United StatesDana Asbury
The National HIV/AIDS Strategy for the United States: Updated to 2020 (“NHAS 2020”) is a critically important and compelling review of the status of our nation’s response to the HIV epidemic in America and an action plan for the continuing fight.
The document is Kansas' comprehensive HIV prevention program plan for 2012-2016. It provides contact information for the program and describes the required and recommended program components being implemented, including HIV testing, prevention with positives, condom distribution, and evidence-based interventions. It identifies the cities bearing the largest burden of HIV in Kansas and the funding allocated to each. Goals, objectives, and annual targets are provided for expanding HIV testing, linking those infected to care, and enrolling high-risk negatives in prevention programs.
The 2007 AIDS Epidemic Update from UNAIDS and WHO provides revised estimates of the global HIV/AIDS epidemic due to improvements in estimation methodologies. Key findings include:
- The estimated number of people living with HIV decreased 16% to 33.2 million, largely due to changes in India's estimates.
- Global HIV prevalence has stabilized at around 0.8% since 2001, though localized declines are occurring in some countries.
- Estimated new HIV infections in 2007 were 2.5 million, declining from a peak of over 3 million in the late 1990s likely due to prevention efforts.
- AIDS deaths in 2007 were estimated at 2.1 million, showing declines in recent years partly
The Correlation between HPV Vaccination Rate and Income Inequalityhiij
According to the 2018 National Immunization Survey - Teen (NIS-Teen), the human papillomavirus (HPV) vaccination coverage in the U.S. increased from 48.6% to 51.1%.[1] Certain factors contribute to disparity between teenagers receiving HPV vaccination.[1]The factors are geography, race, gender, education level, household income, and etc. Within these factors, household income and income inequality were chosen to be the focus of this study. The relationship between HPV vaccination coverage in the U.S., the household income of interviewed individuals, and the Gini index in the U.S. have been studied in RStudio [2]. By merging the NIS-Teen data of vaccination rate and Gini index data in RStudio, charts and graphs are formed to illustrate the relationship between HPV vaccination rate and income inequality. There seem to be limited correlations between vaccination rate and Gini index, but unexpected connections between vaccination rate and household income have been found.
The Correlation between HPV Vaccination Rate and Income InequalityIJCNCJournal
According to the 2018 National Immunization Survey - Teen (NIS-Teen), the human papillomavirus (HPV) vaccination coverage in the U.S. increased from 48.6% to 51.1%.[1] Certain factors contribute to disparity between teenagers receiving HPV vaccination.[1]The factors are geography, race, gender, education level, household income, and etc. Within these factors, household income and income inequality were chosen to be the focus of this study. The relationship between HPV vaccination coverage in the U.S., the household income of interviewed individuals, and the Gini index in the U.S. have been studied in RStudio [2]. By merging the NIS-Teen data of vaccination rate and Gini index data in RStudio, charts and graphs are formed to illustrate the relationship between HPV vaccination rate and income inequality. There seem to be limited correlations between vaccination rate and Gini index, but unexpected connections between vaccination rate and household income have been found.
HCV and HIV Co-Infection among Adolescents and Young Adults in Massachusetts:...CDC NPIN
This document discusses HCV and HIV co-infection among adolescents and young adults in Massachusetts. It finds that reported HCV cases have increased significantly among those aged 15-25 since 2002, likely due to injection drug use. A data match found a small number of HIV/HCV co-infections in this age group, indicating potential for HIV prevention. Effective integrated prevention programs for both viruses are needed to address this emerging public health issue.
COPD Treatment in Ghatkopar,Mumbai. Dr Kumar DoshiDr Kumar Doshi
Are you or a loved one affected by Chronic Obstructive Pulmonary Disease (COPD)? Discover comprehensive and advanced treatment options with Dr. Kumar Doshi, a preeminent COPD specialist based in Ghatkopar, Mumbai.
Dr. Kumar Doshi is dedicated to delivering the highest standard of care for COPD patients. Whether you are seeking a diagnosis, a second opinion, or exploring new treatment avenues, this presentation will guide you through the exceptional services available at his practice in Ghatkopar, Mumbai.
2024 HIPAA Compliance Training Guide to the Compliance OfficersConference Panel
Join us for a comprehensive 90-minute lesson designed specifically for Compliance Officers and Practice/Business Managers. This 2024 HIPAA Training session will guide you through the critical steps needed to ensure your practice is fully prepared for upcoming audits. Key updates and significant changes under the Omnibus Rule will be covered, along with the latest applicable updates for 2024.
Key Areas Covered:
Texting and Email Communication: Understand the compliance requirements for electronic communication.
Encryption Standards: Learn what is necessary and what is overhyped.
Medical Messaging and Voice Data: Ensure secure handling of sensitive information.
IT Risk Factors: Identify and mitigate risks related to your IT infrastructure.
Why Attend:
Expert Instructor: Brian Tuttle, with over 20 years in Health IT and Compliance Consulting, brings invaluable experience and knowledge, including insights from over 1000 risk assessments and direct dealings with Office of Civil Rights HIPAA auditors.
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Ensure your compliance strategy is up-to-date and effective. Enroll now and be prepared for the 2024 HIPAA audits.
Enroll Now to secure your spot in this crucial training session and ensure your HIPAA compliance is robust and audit-ready.
https://conferencepanel.com/conference/hipaa-training-for-the-compliance-officer-2024-updates
The facial nerve, also known as cranial nerve VII, is one of the 12 cranial nerves originating from the brain. It's a mixed nerve, meaning it contains both sensory and motor fibres, and it plays a crucial role in controlling various facial muscles, as well as conveying sensory information from the taste buds on the anterior two-thirds of the tongue.
Joker Wigs has been a one-stop-shop for hair products for over 26 years. We provide high-quality hair wigs, hair extensions, hair toppers, hair patch, and more for both men and women.
Letter to MREC - application to conduct studyAzreen Aj
Application to conduct study on research title 'Awareness and knowledge of oral cancer and precancer among dental outpatient in Klinik Pergigian Merlimau, Melaka'
Comprehensive Rainy Season Advisory: Safety and Preparedness Tips.pdfDr Rachana Gujar
The "Comprehensive Rainy Season Advisory: Safety and Preparedness Tips" offers essential guidance for navigating rainy weather conditions. It covers strategies for staying safe during storms, flood prevention measures, and advice on preparing for inclement weather. This advisory aims to ensure individuals are equipped with the knowledge and resources to handle the challenges of the rainy season effectively, emphasizing safety, preparedness, and resilience.
DECODING THE RISKS - ALCOHOL, TOBACCO & DRUGS.pdfDr Rachana Gujar
Introduction: Substance use education is crucial due to its prevalence and societal impact.
Alcohol Use: Immediate and long-term risks include impaired judgment, health issues, and social consequences.
Tobacco Use: Immediate effects include increased heart rate, while long-term risks encompass cancer and heart disease.
Drug Use: Risks vary depending on the drug type, including health and psychological implications.
Prevention Strategies: Education, healthy coping mechanisms, community support, and policies are vital in preventing substance use.
Harm Reduction Strategies: Safe use practices, medication-assisted treatment, and naloxone availability aim to reduce harm.
Seeking Help for Addiction: Recognizing signs, available treatments, support systems, and resources are essential for recovery.
Personal Stories: Real stories of recovery emphasize hope and resilience.
Interactive Q&A: Engage the audience and encourage discussion.
Conclusion: Recap key points and emphasize the importance of awareness, prevention, and seeking help.
Resources: Provide contact information and links for further support.
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Hypertension and it's role of physiotherapy in it.Vishal kr Thakur
This particular slides consist of- what is hypertension,what are it's causes and it's effect on body, risk factors, symptoms,complications, diagnosis and role of physiotherapy in it.
This slide is very helpful for physiotherapy students and also for other medical and healthcare students.
Here is summary of hypertension -
Hypertension, also known as high blood pressure, is a serious medical condition that occurs when blood pressure in the body's arteries is consistently too high. Blood pressure is the force of blood pushing against the walls of blood vessels as the heart pumps it. Hypertension can increase the risk of heart disease, brain disease, kidney disease, and premature death.
R3 Stem Cell Therapy: A New Hope for Women with Ovarian FailureR3 Stem Cell
Discover the groundbreaking advancements in stem cell therapy by R3 Stem Cell, offering new hope for women with ovarian failure. This innovative treatment aims to restore ovarian function, improve fertility, and enhance overall well-being, revolutionizing reproductive health for women worldwide.
1. Bureau of Infectious Disease and Laboratory Sciences
Massachusetts Department of Public Health
2021 Massachusetts Integrated HIV, STD and Viral Hepatitis Surveillance Report
Suggested citation:
Massachusetts Department of Public Health, Bureau of Infectious Disease and Laboratory Sciences. 2021 Massachusetts Integrated HIV, STD and Viral Hepatitis Surveillance Report,
https://www.mass.gov/doc/2020-integrated-hivaids-std-and-viral-hepatitis-report/download Published December 2022. Accessed [date].
Bureau of Infectious Disease and Laboratory Sciences
Massachusetts Department of Public Health
Jamaica Plain Campus/State Public Health Laboratory
305 South Street
Jamaica Plain, MA 02130
Questions about this report
Tel: (617) 983-6560
To speak to the on-call epidemiologist
Tel: (617) 983-6800
To reach the Reporting and Partner Services Line*
Tel: (617) 983-6999
Questions about infectious disease reporting
Tel: (617) 983-6801
Requests for additional data
https://www.mass.gov/lists/infectious-disease-data-reports-and-requests
Slide set for 2020 Integrated Report
https://www.mass.gov/lists/std-data-and-reports
For additional contact information see page 79 of this report
This report was developed by the following MDPH staff:
Katherine Hsu, MD, MPH, Medical Director, Division of STD Prevention and HIV Surveillance
Betsey John, MPH, Director, HIV and STD Surveillance
Kathleen Roosevelt, MPH, Director, Division of STD Prevention and HIV Surveillance
Patricia Kludt, MPH, Director, Division of Epidemiology
Gillian Haney, MPH, Director, Division of Surveillance, Analytics, and Informatics
H. Dawn Fukuda, ScM, Director, Office of HIV
Catherine Brown, DVM, MSc, MPH, State Epidemiologist, Bureau of Infectious Disease and Laboratory Sciences
Larry Madoff, MD, Medical Director, Bureau of Infectious Disease and Laboratory Sciences
Kevin Cranston, MDiv, Assistant Commissioner, Director, Bureau of Infectious Disease and Laboratory Sciences
* Providers may use this number to report individuals newly diagnosed with a notifiable sexually transmitted infection, including HIV, or request partner services. Partner services is a free and
confidential service for individuals recently diagnosed with a priority infection. The client-centered program offers counseling, linkage to other health and social services, anonymous notification
of partners who were exposed and assistance with getting testing and treatment. For more information, see: https://www.mass.gov/service-details/partner-services-program-information-for-
healthcare-providers)
2. Number of laboratory-confirmed chlamydia cases
reported by female and male gender, Massachusetts
2012–2021*
Note: Cases reported as transgender or missing gender (2012–2021: N=804) are included in the statewide total but are not depicted in Figure 1 separately
due to small numbers.
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
3. Number of laboratory-confirmed chlamydia cases
reported by age group (years),
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: Cases with no age reported (2012–2021: N=170) are not included in this figure
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
4. Average age of laboratory-confirmed chlamydia cases
reported by female and male gender,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data.
Note: Cases with no age reported (2012–2021: N=170) are not included in this analysis and cases reported as transgender or missing gender (2012–2021:
N=804) are included in the statewide total but not presented separately due to small numbers.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
5. Incidence rate of confirmed chlamydia cases per
100,000 population* reported by city/town,
Massachusetts 2021**
*As of 1/1/2020, MDPH Bureau of Infectious Disease and Laboratory Sciences calculates rates per 100,000 population using denominators estimated by the
University of Massachusetts Donahue Institute using a modified Hamilton-Perry model. Note that rates and trends calculated using previous methods cannot be
compared to these.
**Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: regional data include individuals tested in a correctional facility.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
6. Number of laboratory-confirmed gonorrhea cases
reported by female and male gender,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data.
Note: Cases reported as transgender or missing gender (2012–2021: N=262) are included in the statewide total but are not depicted in Figure 5 separately due
to small numbers.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
7. Number of laboratory-confirmed gonorrhea cases
reported by age group (years),
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: Cases missing age (2012–2021: N=17) are not included in this figure
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
8. Incidence rate of confirmed gonorrhea cases per
100,000 population* reported by city/town,
Massachusetts 2021**
*As of 1/1/2020, MDPH Bureau of Infectious Disease and Laboratory Sciences calculates rates per 100,000 population using denominators estimated by the
University of Massachusetts Donahue Institute using a modified Hamilton-Perry model. Note that rates and trends calculated using previous methods cannot be
compared to these.
**Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: regional data include individuals tested in a correctional facility.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
9. Number of confirmed and probable infectious syphilis
cases reported by female and male gender,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: Cases reported as transgender or missing gender (2012–2021: N=92) are included in the statewide total but are not depicted separately in this figure due to
small numbers.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
10. Number of confirmed and probable infectious syphilis*
cases reported by age group (years),
Massachusetts 2012–2021**
* Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
**Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: All syphilis cases from 2012 to 2021 were reported with age, none were excluded from this figure
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
11. Incidence rate of confirmed and probable infectious
syphilis* cases per 100,000 population** reported by
city/town, Massachusetts, 2021***
*Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
**As of 1/1/2020, MDPH Bureau of Infectious Disease and Laboratory Sciences calculates rates per 100,000 population using denominators estimated by the
University of Massachusetts Donahue Institute using a modified Hamilton-Perry model .Note that rates and trends calculated using previous methods cannot be
compared to these.
***Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data.
Note: regional data include individuals tested in a correctional facility.
12. Number of persons living with HIV infection,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: 2021 HIV prevalence data are preliminary and subject to change.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
13. Number of HIV infection diagnoses and deaths from
any cause among persons with HIV,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
14. Average annual rate of HIV diagnosis per 100,000
population* by city/town, Massachusetts 2019–2021**
* As of 1/1/2020, BIDLS calculates rates per 100,000 population using denominators estimated by the University of Massachusetts Donahue Institute using a
modified Hamilton-Perry model. Note that rates and trends calculated using previous methods cannot be compared to these.
** Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: regional HIV data exclude individuals diagnosed in a correctional facility.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
15. Percentage of HIV infection diagnoses by sex
assigned at birth* and exposure mode,
Massachusetts 2019–2021**
* Data reflect sex assigned at birth and therefore not gender identity or gender expression of transgender individuals.
** Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
16. Number of reported cases of perinatal transmission of
HIV infection, by year of birth,
Massachusetts 1985–2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
17. Percentage distribution of individuals living with HIV
infection by age on December 31,
Massachusetts 2012–2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
18. Five-year survival among with individuals with HIV
infection by year of diagnosis, Massachusetts 1987–2021*
(Total number of HIV diagnoses from 1987–2021, N=35,888)
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
19. Number of hepatitis A cases reported by year, housing
status, and presence of substance use disorder,
Massachusetts 2012–2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/20/2022 and subject to change
20. Number of confirmed and probable chronic hepatitis B
cases reported by year, Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 8/18/2022 and subject to change.
21. Number of confirmed and probable chronic hepatitis B
cases reported by female and male gender,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: Cases reported as transgender or missing gender (2012–2021: N=68) are included in the statewide total but are not depicted in in this figure separately due
to small numbers.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 8/18/2022 and subject to change.
22. Number of confirmed and suspect acute hepatitis B
cases reported by year, Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 8/18/2022 and subject to change.
23. Number of confirmed and probable hepatitis C cases
reported by year, Massachusetts 2012–2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note, in 2016, revised case definitions for acute and chronic HCV infection were implemented that contain significant changes from the case definitions for 2012
to 2015. For further information see https://wwwn.cdc.gov/nndss/conditions/
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 6/3/2022 and subject to change.
24. Distribution of confirmed and probable hepatitis C
cases by age: 2007 versus 2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 6/3/2022 and subject to change.
25. Number of confirmed and probable hepatitis C cases
reported by age, and female and male gender,
Massachusetts 2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: Confirmed and Probable Hepatitis C 2021: N=4,227, excludes 61 missing age and/or gender. Cases reported as transgender (N=9) are not depicted in this
figure separately due to small numbers. Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 6/3/2022 and subject to
change.
26. Number of individuals diagnosed with HIV infection only,
and ever co-infected with hepatitis C (HCV) by year of HIV
infection diagnosis, Massachusetts 2011–2020*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data. Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change
27. Distribution of confirmed chlamydia and gonorrhea
cases reported by age group (years),
Massachusetts 2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
28. Distribution of confirmed chlamydia and gonorrhea
cases reported by age group (years) and gender,
Massachusetts 2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
29. Distribution of HIV infection diagnoses in adolescents and
young adults (aged 15–24 years) by race/ethnicity, exposure
mode, place of birth, and sex assigned at birth,
Massachusetts 2019–2021*, N=162
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020-2021 data
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
30. Number of confirmed and probable hepatitis C cases
reported by age and female and male gender,
Massachusetts 2002*
*Probable and Confirmed Hepatitis C 2002, N=9,031 (excludes 164 with missing age and/or gender. Cases reported as transgender (2002 [N<5] are not
depicted separately due to small numbers. Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 6/3/2022 and subject to
change.
31. Number of confirmed and probable hepatitis C cases
reported by age and female and male gender,
Massachusetts 2007*
*Probable and Confirmed Hepatitis 2007 N=8,269 (excludes 805 with missing age and/or gender), Cases reported as transgender (N<5) are not depicted
separately due to small numbers.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 6/3/2022 and subject to change.
32. Number of confirmed and probable hepatitis C cases
reported by age and female and male gender,
Massachusetts 2021*
*Probable and Confirmed Hepatitis C 2021 N=4,236 (excludes 61 with missing age and/or gender). Cases reported as transgender (N=9) are not depicted
separately due to small numbers. Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the
interpretation of 2020 and 2021 data. Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 6/3/2022 and subject to change.
33. Estimated average annual HIV diagnosis rate per 100,000
population: MSM (men who have sex with men) compared to
non-MSM (males) ages 18–64 years:
Massachusetts 2019–2021*
Note :Multiple source estimation method for MSM rate (2019-2021 BRFSS, UMDI Interim 2020 Population Estimates by Age, Sex, Race, and Municipality,
UMass Donahue Institute Population Estimates Program, March 1, 2022; and MDPH Bureau of Infectious Disease and Laboratory Sciences, data as of
7/1/2022)
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data; Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
34. Estimated infectious syphilis rate per 100,000
population: MSM compared to non-MSM (males) ages
18–64 years: Massachusetts 2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Multiple source estimation method for MSM rate (2019 BRFSS, University of Massachusetts Donahue Institute 2019 population estimates using a modified
Hamilton-Perry model, and MDPH Bureau of Infectious Disease and Laboratory Sciences, data as of 7/13/2022)
Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
35. Number of confirmed and probable infectious syphilis cases
among MSM and the percent of cases among MSM known to
ever be co-infected with HIV, Massachusetts 2017–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
36. Total number of confirmed and probable infectious
syphilis cases and number among MSM by county,
Massachusetts 2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Note: MSM N=885, Other risk N=261, missing risk information N=205, total cases N=1,351 and excludes one case with no reported county of residence.
Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
BDN=Barnstable, Dukes and Nantucket Counties, BDN are combined because of small numbers.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
37. HIV infection diagnoses among men reporting sex with
men by race/ethnicity, age at diagnosis, and place of
birth, Massachusetts 2019–2021* (N=555)
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
38. Confirmed and probable infectious syphilis cases*
among men reporting sex with men, by race/ethnicity
and age, Massachusetts 2021** (N=887)
*Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
**Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021
data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
39. Percentage distribution of individuals assigned male at
birth (AMAB) diagnosed with HIV infection by exposure
mode, Massachusetts 2012–2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
40. Individuals diagnosed with HIV infection by exposure
mode, Massachusetts 2012–2021*
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
41. Percentage of individuals with IDU exposure mode
diagnosed with HIV infection by race/ethnicity, age, place of
birth and current gender, Massachusetts 2019–2021*
(N=216)
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
42. Deaths from any cause among individuals reported
with HIV by exposure mode,
Massachusetts 2021* (N=279)
* Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
43. Distribution of the general population and of individuals
diagnosed with confirmed and probable infectious syphilis in
2021,* and HIV infection during 2019–2021* by race/ethnicity,
Massachusetts
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
Confirmed and Probable Infectious Syphilis 2020, N=1,255 and excludes 97 (7%) cases missing race/ethnicity; HIV Diagnoses 2019-2021, N=1,417
Data Source: Bureau of Infectious Disease and Laboratory Sciences, HIV data are current as of 7/1/2022, STD data are current as of 7/13/2022 and subject to
change, Population Data Source: MDI Interim 2020 Population Estimates by Age, Sex, Race, and Municipality, UMass Donahue Institute Population Estimates
Program, March 1, 2022;
44. Number of confirmed and probable infectious syphilis
cases reported by race/ethnicity,
Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Infectious syphilis includes diagnoses made in the primary, secondary, and early non-primary non-secondary stages of infection (latent asymptomatic syphilis
where infection occurred in the past 12 months).
Confirmed and Probable Syphilis 2012-2021 Total N=9,147; 558 (6%) cases missing race/ethnicity are not included in this figure
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
45. Average annual age-adjusted HIV diagnosis rate per
100,000 population* by sex assigned at birth and
race/ethnicity, Massachusetts 2019–2021* (N=1,819)
* As of 1/1/2020, , BIDLS calculates rates per 100,000 population using denominators estimated by the University of Massachusetts Donahue Institute: UMDI
Interim 2020 Population Estimates by Age, Sex, Race, and Municipality, UMass Donahue Institute Population Estimates Program, March 1, 2022. Note that
rates and trends calculated using previous methods cannot be compared to these. All rates are age-adjusted using the 2000 US standard population. Data
Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.
46. Distribution of confirmed chlamydia and gonorrhea
cases reported by gender, Massachusetts 2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
47. Number of confirmed and probable congenital syphilis
cases reported by year of birth and rate of infectious
syphilis per 100,000 among females of child-bearing age
(15–44 years), Massachusetts 2012–2021*
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
On January 1, 2015, the congenital case definition was updated to better define treatment and laboratory parameters for classifying cases. From 2015 through
2018 no confirmed cases of congenital syphilis have been reported (2015 and 2016 cases presented here are probable)
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/13/2022 and subject to change.
48. Percentage of individuals assigned female at birth and
diagnosed with HIV infection by race/ethnicity, age, place of
birth, and exposure mode,
Massachusetts 2019–2021* (N=396)
*Please consider the impact of the COVID-19 pandemic on infectious disease screening, treatment, and surveillance in the interpretation of 2020 and 2021 data.
Data Source: Bureau of Infectious Disease and Laboratory Sciences, data are current as of 7/1/2022 and subject to change.