170 pages this week, but just data on Coronavirus cases in US by state.
Includes the best measure found so far -- Average weekly new cases per day per 100,000 population
Page 4 – 8 are alphabetical by state total cases, max cases per day, 4-24 to 5/1 average cases per day, plus normalized by 100,000 population. Has which 3 charts numbers for detail data per state
Pages 9 – 13 are from state with the highest cases per 100,000 population (New York) to least (Montana). Also shows average new cases per day per 100,000 population in descending order.
Page 14 has distributions of cases/100,000 and new cases per day per 100,000. Also shows the ration of weekly new cases 4/24 to 5/1 divided maximum weekly new case.
Note that for 21 states (and Total US, and District of Columba) had the maximum weekly new cases during 4/24 to 5/1
Measuring the effect of social distancing On CoronavirusJames Orr
This was an attempt to see if I could measure the effect of social distancing. While the method is immature, it definitely shows that movement into regions by infectious persons is defeating "social distancing" in most areas. Only New York and Washington show progress. Texas "social distancing" appears overwhelmed by movement of new infectious persons into Texas
Covid 19 cases per day per 100,000 popylation 5-15-2020James Orr
More weekly update. Focused on average new cases per week, change in cases per week, and average new cases per week per 100,000 population. Provides graphs on six "no doing well states" and detail data in tabular form on all states
Predicting coronavirus cases and questions need answeringJames Orr
Another weekend, and another attempt to make sense out of the Coronavirus Case data from states in the United States. Overall, cases per day remain flat (on plateau) with no decline in data. However, other indications suggest increasing irrelevant to use new cases per day for social policy decisions. Indication that new hospitalizations per day might be a better measure.
This document analyzes South Korea's COVID-19 response and provides recommendations for future direction. It begins with an analysis of the current situation, including an examination of new virus variants and their impact on case and death rates globally and in South Korea. It then selects benchmark countries based on infection management, economic impact, and other criteria. Factors contributing to the success of top performing countries are analyzed, such as vaccination rates, policy stringency, and economic strategies. The document concludes with recommendations for South Korea's COVID-19 response going forward.
Criteria to begin relaxing social distancing revision AJames Orr
Latest weekly update (on weekend) of my projection of the number of Coronavirus case per day by state. Prior predictions modeled following three weeks. Mode VII two weeks ago and Model IX on week ago appear as accurate as randomness in data allows, or new pockets of outbreaks. This version looks at where states are at plateauing or being pose peak new cases per day. Also looks at criteria to begin to relax social distancing guidelines. Revision A corrects Alaska (missing a 0) and Nevada population (one extra 0).
Orr's model vi projection of cases to 4 16-2020 created 04-03-2020James Orr
This is the latest weekly update of my projection of Coronavirus Cases over the next fourteen days. Projection two weeks ago was too low (assumed control of spread). Projection on week ago assumed no change in Growth Rate % of cases per day. This version used trend in Growth Rate % cases per day to extrapolate reducing Growth Rate per day over the next 14 days. This should be much more accurate if continued progress in "social distancing" occurs.
Measuring the effect of social distancing On CoronavirusJames Orr
This was an attempt to see if I could measure the effect of social distancing. While the method is immature, it definitely shows that movement into regions by infectious persons is defeating "social distancing" in most areas. Only New York and Washington show progress. Texas "social distancing" appears overwhelmed by movement of new infectious persons into Texas
Covid 19 cases per day per 100,000 popylation 5-15-2020James Orr
More weekly update. Focused on average new cases per week, change in cases per week, and average new cases per week per 100,000 population. Provides graphs on six "no doing well states" and detail data in tabular form on all states
Predicting coronavirus cases and questions need answeringJames Orr
Another weekend, and another attempt to make sense out of the Coronavirus Case data from states in the United States. Overall, cases per day remain flat (on plateau) with no decline in data. However, other indications suggest increasing irrelevant to use new cases per day for social policy decisions. Indication that new hospitalizations per day might be a better measure.
This document analyzes South Korea's COVID-19 response and provides recommendations for future direction. It begins with an analysis of the current situation, including an examination of new virus variants and their impact on case and death rates globally and in South Korea. It then selects benchmark countries based on infection management, economic impact, and other criteria. Factors contributing to the success of top performing countries are analyzed, such as vaccination rates, policy stringency, and economic strategies. The document concludes with recommendations for South Korea's COVID-19 response going forward.
Criteria to begin relaxing social distancing revision AJames Orr
Latest weekly update (on weekend) of my projection of the number of Coronavirus case per day by state. Prior predictions modeled following three weeks. Mode VII two weeks ago and Model IX on week ago appear as accurate as randomness in data allows, or new pockets of outbreaks. This version looks at where states are at plateauing or being pose peak new cases per day. Also looks at criteria to begin to relax social distancing guidelines. Revision A corrects Alaska (missing a 0) and Nevada population (one extra 0).
Orr's model vi projection of cases to 4 16-2020 created 04-03-2020James Orr
This is the latest weekly update of my projection of Coronavirus Cases over the next fourteen days. Projection two weeks ago was too low (assumed control of spread). Projection on week ago assumed no change in Growth Rate % of cases per day. This version used trend in Growth Rate % cases per day to extrapolate reducing Growth Rate per day over the next 14 days. This should be much more accurate if continued progress in "social distancing" occurs.
Orr's model vii projection of cases to 4 16-2020 created 04-03-2020James Orr
Updated with Model VII which has a much sharper decrease in Case Growth Per Day. Model VII achieves peak New Cases per Day within the two week project, while Model VI New Cases continues to grow over the 14 days.
The document discusses obesity rates among people with and without disabilities. It finds that in all states, obesity rates are higher for those with disabilities, indicating inequities in health promotion. Public health professionals are encouraged to include disability data in surveillance efforts and ensure people with disabilities are included in health programs. Tables of data from all US states and territories show the prevalence of obesity is an average of 13.8 percentage points higher among those with disabilities.
As COVID-19 begins to wind down, here is a picture of how the residents of Michigan have survived the pandemic, and who is available to help reopen the State.
Gun violence in the united states by statejuandemariana
Enrique Vargas analizará la función de las armas en una sociedad, desde la antigüedad hasta los tiempos modernos. Apoyándose en estadísticas y casos concretos, examinará cómo influye el acceso a las armas en el índice de criminalidad de los países. También comparará la diferente regulación de las armas en Europa y en los Estados Unidos y la distinta relación entre Estado e individuo que de ella se desprende.
Enrique Vargas Molina es musicólogo y músico. Ha sido entrenador de tiro de arma corta certificado por la National Rifle Association de los Estados Unidos durante más de 20 años, a lo largo de los cuales ha entrenado a cientos de alumnos.
Changing Demographics of Georgia and Metro AtlantaARCResearch
Presentation given to the Georgia Partnership for Excellence in Education's Critical Issues Forum on August 12, 2015. Looks at the changing faces and fortunes of metro Atlanta and beyond
Washington County is experiencing significant population growth and demographic changes. It was the 6th fastest growing county in Wisconsin since 2000 and 4th fastest between 1990-2000. The Hispanic population has grown the fastest in the county since 2000. Household sizes are decreasing while median age and educational attainment are increasing. The county saw job and income growth from 1970-2004 but unemployment has doubled in the past year. Home prices declined after peaking in 2007 while foreclosures have risen sharply.
This document provides cancer statistics for African Americans, including information on leading cancer sites, death rates, and risk factors. Some key points:
- Cancer remains a leading cause of death for African Americans, though overall racial disparities are decreasing.
- Lung cancer is the top cause of cancer death in African American males and females. Prostate cancer is the most commonly diagnosed cancer in African American males.
- African Americans have higher cancer death rates than whites for most major cancers, due in part to socioeconomic inequalities that impact access to care and screening.
The U.S. Nursing Workforce Trends in Supply and Education 3 .docxchristalgrieg
The document analyzes trends in the United States nursing workforce using data from the American Community Survey and Census 2000. It finds that in 2008-2010 there were approximately 2.8 million registered nurses and 690,000 licensed practical nurses in the US workforce. The number of nurses varies significantly between states, with some Western and Southern states tending to have fewer nurses per capita compared to Midwestern and Northeastern states. Educational attainment, demographic composition, work settings, and hours of nurses are also changing over time.
The document summarizes key findings from the 2009 American Community Survey about demographic and economic characteristics in Utah:
1) Utah continues to have a high birth rate and larger household sizes compared to the national average. The state also has high rates of educational attainment, with over 90% of residents having a high school diploma and 28.5% holding a bachelor's degree.
2) Median household income in Utah is $55,430, ranking the state 15th highest. Poverty rates are lower in Utah than the national average, at 11.5% overall.
3) Most Utah residents drive to work alone, and average commute times, at 21 minutes, are shorter than the national average.
The document provides demographic data for states and counties in the US, including total population, percentage of population born in the US, percentage who are not US citizens, and percentages of population living in the US for less than 10 years. It shows that states on the west coast like California and states in the northeast like New York have lower percentages of population born in the US and higher percentages born abroad compared to other states. At the county level, it provides similar data for counties in Hawaii, showing Honolulu County has a lower percentage of population born in the US compared to other Hawaii counties.
The document discusses a meeting about international partnerships and youth exchange programs. It provides information about various organizations involved in international education, including the Council on Standards for International Educational Travel (CSIET). CSIET works to promote safe and meaningful international youth exchange experiences and recognizes schools that support international students. The document also shares data on international student exchange numbers and initiatives to increase awareness and participation in exchange programs.
The document discusses new state and local data sources that can be used for advocacy around issues of food hardship, poverty, and participation in federal food assistance programs. It provides examples of data on food hardship, SNAP/food stamp enrollment compared to poverty levels, and poverty rates for counties in Arkansas. It also describes online calculators that can estimate participation in school breakfast, summer meal, and SNAP programs and calculate potential additional funding if more eligible people participated.
The National Center for the Analysis of Healthcare Data (NCAHD):
- Established in 2007 to provide data analysis and mapping of healthcare workforce data to support advocacy, research, and planning.
- Maintains a large database of physician and non-physician provider data from state licensure records along with demographic data.
- Provides data analysis, mapping, and other services to over 200 clients including medical schools, hospitals, and state/national associations.
Coronavirus cases by state - projections for growther from 03-21-2020 to 04-...James Orr
The document provides a projection of coronavirus cases in the United States from March 22, 2020 to April 21, 2020 using a model (Model IV) developed by James K. Orr. It projects the maximum number of cases for each US state over this time period based on current case numbers as of March 21, 2020 and average daily growth rates over the previous 3 days for each state. It notes that the projections provide an optimistic scenario that depends on actions by governments and mercy from God. Tables with projections for each state are also included.
This document is a state-by-state analysis of trends in health insurance coverage rates between 1999-2000 and 2007-2008. It finds that rates of employer-sponsored insurance decreased the most for lower-income individuals, dropping by over 10% for those earning less than 200% of the federal poverty level in several states. Overall rates of employer-sponsored coverage declined across all income levels in most states. The analysis was commissioned by the Robert Wood Johnson Foundation to better understand changes in health insurance coverage.
COVID-19 Update (US States): August 22, 2020 Steve Shafer
This document contains data on COVID-19 cases and deaths for 21 US states as of August 22, 2020. For each state it provides cumulative case and death counts, as well as daily new cases, daily new deaths, case mortality rate, and the daily percent change in cases and deaths. The states range in cumulative cases from over 750,000 in California to under 5,000 in states like Alaska, Hawaii, and Maine.
COVID-19 Update (US States): September 3, 2020Steve Shafer
This document contains data on COVID-19 cases and deaths for 22 US states as of September 3, 2020. For each state it provides cumulative case and death counts as well as projected daily new cases and deaths. The data shows varying levels of new cases and deaths across states with some experiencing increases and others decreases compared to previous dates.
This document presents an analysis of the relationship between juvenile crime rates, high school graduation rates, and levels of law enforcement employment across US states. Tables of data from 2012 show rates of juvenile crimes, numbers of law enforcement employees, high school graduation percentages, and total high school graduates for each of the 50 states. The author calculates averages and medians for the data and intends to use chi-square tests to determine if relationships exist between the variables of total juvenile crimes, total law enforcement employed, and total high school graduates for each state.
Truth how texas and houston compare to new yorkJames Orr
June 14, 2020 Much In News About Growth In Cases In Houston, and Texas. This presents data that shows superior statistics for Houston and Texas versus New York State and New York City. Number (and rates per 100,000 Population) need t o compare Houston now to New York City in four to six weeks after reopening.
Coronavirus data focused on new york comparison and data per populationJames Orr
Continues my weekly report. This focus on (new cases per day) per 100,000 population. Uses a nine day moving average (to remove day to day effects over the week). All states compare to New York State with highest 50 new cases per day per 100K. For states who are at very low levels, also show data for that state with both 0 to 60 scale (with New York) and 0 to 5 cases per day per 100K scale.
More Related Content
Similar to Us coronavirus data as of may 1, 2020 just data
Orr's model vii projection of cases to 4 16-2020 created 04-03-2020James Orr
Updated with Model VII which has a much sharper decrease in Case Growth Per Day. Model VII achieves peak New Cases per Day within the two week project, while Model VI New Cases continues to grow over the 14 days.
The document discusses obesity rates among people with and without disabilities. It finds that in all states, obesity rates are higher for those with disabilities, indicating inequities in health promotion. Public health professionals are encouraged to include disability data in surveillance efforts and ensure people with disabilities are included in health programs. Tables of data from all US states and territories show the prevalence of obesity is an average of 13.8 percentage points higher among those with disabilities.
As COVID-19 begins to wind down, here is a picture of how the residents of Michigan have survived the pandemic, and who is available to help reopen the State.
Gun violence in the united states by statejuandemariana
Enrique Vargas analizará la función de las armas en una sociedad, desde la antigüedad hasta los tiempos modernos. Apoyándose en estadísticas y casos concretos, examinará cómo influye el acceso a las armas en el índice de criminalidad de los países. También comparará la diferente regulación de las armas en Europa y en los Estados Unidos y la distinta relación entre Estado e individuo que de ella se desprende.
Enrique Vargas Molina es musicólogo y músico. Ha sido entrenador de tiro de arma corta certificado por la National Rifle Association de los Estados Unidos durante más de 20 años, a lo largo de los cuales ha entrenado a cientos de alumnos.
Changing Demographics of Georgia and Metro AtlantaARCResearch
Presentation given to the Georgia Partnership for Excellence in Education's Critical Issues Forum on August 12, 2015. Looks at the changing faces and fortunes of metro Atlanta and beyond
Washington County is experiencing significant population growth and demographic changes. It was the 6th fastest growing county in Wisconsin since 2000 and 4th fastest between 1990-2000. The Hispanic population has grown the fastest in the county since 2000. Household sizes are decreasing while median age and educational attainment are increasing. The county saw job and income growth from 1970-2004 but unemployment has doubled in the past year. Home prices declined after peaking in 2007 while foreclosures have risen sharply.
This document provides cancer statistics for African Americans, including information on leading cancer sites, death rates, and risk factors. Some key points:
- Cancer remains a leading cause of death for African Americans, though overall racial disparities are decreasing.
- Lung cancer is the top cause of cancer death in African American males and females. Prostate cancer is the most commonly diagnosed cancer in African American males.
- African Americans have higher cancer death rates than whites for most major cancers, due in part to socioeconomic inequalities that impact access to care and screening.
The U.S. Nursing Workforce Trends in Supply and Education 3 .docxchristalgrieg
The document analyzes trends in the United States nursing workforce using data from the American Community Survey and Census 2000. It finds that in 2008-2010 there were approximately 2.8 million registered nurses and 690,000 licensed practical nurses in the US workforce. The number of nurses varies significantly between states, with some Western and Southern states tending to have fewer nurses per capita compared to Midwestern and Northeastern states. Educational attainment, demographic composition, work settings, and hours of nurses are also changing over time.
The document summarizes key findings from the 2009 American Community Survey about demographic and economic characteristics in Utah:
1) Utah continues to have a high birth rate and larger household sizes compared to the national average. The state also has high rates of educational attainment, with over 90% of residents having a high school diploma and 28.5% holding a bachelor's degree.
2) Median household income in Utah is $55,430, ranking the state 15th highest. Poverty rates are lower in Utah than the national average, at 11.5% overall.
3) Most Utah residents drive to work alone, and average commute times, at 21 minutes, are shorter than the national average.
The document provides demographic data for states and counties in the US, including total population, percentage of population born in the US, percentage who are not US citizens, and percentages of population living in the US for less than 10 years. It shows that states on the west coast like California and states in the northeast like New York have lower percentages of population born in the US and higher percentages born abroad compared to other states. At the county level, it provides similar data for counties in Hawaii, showing Honolulu County has a lower percentage of population born in the US compared to other Hawaii counties.
The document discusses a meeting about international partnerships and youth exchange programs. It provides information about various organizations involved in international education, including the Council on Standards for International Educational Travel (CSIET). CSIET works to promote safe and meaningful international youth exchange experiences and recognizes schools that support international students. The document also shares data on international student exchange numbers and initiatives to increase awareness and participation in exchange programs.
The document discusses new state and local data sources that can be used for advocacy around issues of food hardship, poverty, and participation in federal food assistance programs. It provides examples of data on food hardship, SNAP/food stamp enrollment compared to poverty levels, and poverty rates for counties in Arkansas. It also describes online calculators that can estimate participation in school breakfast, summer meal, and SNAP programs and calculate potential additional funding if more eligible people participated.
The National Center for the Analysis of Healthcare Data (NCAHD):
- Established in 2007 to provide data analysis and mapping of healthcare workforce data to support advocacy, research, and planning.
- Maintains a large database of physician and non-physician provider data from state licensure records along with demographic data.
- Provides data analysis, mapping, and other services to over 200 clients including medical schools, hospitals, and state/national associations.
Coronavirus cases by state - projections for growther from 03-21-2020 to 04-...James Orr
The document provides a projection of coronavirus cases in the United States from March 22, 2020 to April 21, 2020 using a model (Model IV) developed by James K. Orr. It projects the maximum number of cases for each US state over this time period based on current case numbers as of March 21, 2020 and average daily growth rates over the previous 3 days for each state. It notes that the projections provide an optimistic scenario that depends on actions by governments and mercy from God. Tables with projections for each state are also included.
This document is a state-by-state analysis of trends in health insurance coverage rates between 1999-2000 and 2007-2008. It finds that rates of employer-sponsored insurance decreased the most for lower-income individuals, dropping by over 10% for those earning less than 200% of the federal poverty level in several states. Overall rates of employer-sponsored coverage declined across all income levels in most states. The analysis was commissioned by the Robert Wood Johnson Foundation to better understand changes in health insurance coverage.
COVID-19 Update (US States): August 22, 2020 Steve Shafer
This document contains data on COVID-19 cases and deaths for 21 US states as of August 22, 2020. For each state it provides cumulative case and death counts, as well as daily new cases, daily new deaths, case mortality rate, and the daily percent change in cases and deaths. The states range in cumulative cases from over 750,000 in California to under 5,000 in states like Alaska, Hawaii, and Maine.
COVID-19 Update (US States): September 3, 2020Steve Shafer
This document contains data on COVID-19 cases and deaths for 22 US states as of September 3, 2020. For each state it provides cumulative case and death counts as well as projected daily new cases and deaths. The data shows varying levels of new cases and deaths across states with some experiencing increases and others decreases compared to previous dates.
This document presents an analysis of the relationship between juvenile crime rates, high school graduation rates, and levels of law enforcement employment across US states. Tables of data from 2012 show rates of juvenile crimes, numbers of law enforcement employees, high school graduation percentages, and total high school graduates for each of the 50 states. The author calculates averages and medians for the data and intends to use chi-square tests to determine if relationships exist between the variables of total juvenile crimes, total law enforcement employed, and total high school graduates for each state.
Similar to Us coronavirus data as of may 1, 2020 just data (20)
Truth how texas and houston compare to new yorkJames Orr
June 14, 2020 Much In News About Growth In Cases In Houston, and Texas. This presents data that shows superior statistics for Houston and Texas versus New York State and New York City. Number (and rates per 100,000 Population) need t o compare Houston now to New York City in four to six weeks after reopening.
Coronavirus data focused on new york comparison and data per populationJames Orr
Continues my weekly report. This focus on (new cases per day) per 100,000 population. Uses a nine day moving average (to remove day to day effects over the week). All states compare to New York State with highest 50 new cases per day per 100K. For states who are at very low levels, also show data for that state with both 0 to 60 scale (with New York) and 0 to 5 cases per day per 100K scale.
04/05/2020. The United States looks for signs that new Coronavirus Cases per day has started to decrease. We may be close, but not there yet. This presentation looks at changes in Case for United States and a few states. It looks at Cases versus date, first derivative (Growth In Cases Per Day) and finally the second delivery (which show how rapidly the growth per day is decreasing).
Latest Projection Of Cases By State For Next 15 Day.
Average growth abut 30 % per day (expect to be lower).
Uses average growth per day from 3-21 to 3-28 to project ahead 14 days.
Coronavirus pandemic public health - lessons in mathematicsJames Orr
This was prepared for a mathematical literate (honors) young teenage girl. This introduces risk assessment and risk mitigation using Public Health Measures. Also includes a mathematical tuitorial.
Coronavirus case growth by country j.k.orr 2020 03-07James Orr
An attempt to model growth of the Coronavirus case growth in a country from the time the total cases reach 225 cases for the next 10 days. Model is ONLY VALID for these 10 days. Model is dependent that data provided by countries are accurate. Raw data from Mainland China, South Korea, Italy, and Iran as of 3/6/2020.
2018 is year to consider conversions of tax deferred funds to rothJames Orr
With the 2018 tax law changes, converting tax-deferred savings into Roth IRAs is advantageous for those who can pay the income taxes. For individuals on Medicare, there are income thresholds that impact Medicare premium costs that must be considered when deciding how much to convert. Converting just under the $267,000 threshold may be best for married couples expecting to complete conversions while both are alive. For those needing access to funds sooner, determining the optimal strategy can be more complicated.
Effect of tax cut and job act for couples over 65James Orr
Captures some of my analysis of the effect of Thrump's "Tax Cut and Job Act" on my strategy for managing my pre-tax IRA funds. Specially written for couples over 65 on Medicare due to the effect of Gross Taxable Income on both federal income tax and Medicare Premiums. Identifies general tax planning strategies and also identifies a largely unaddressed risk, which is effect of change in income tax filing status when a spouse dies (from "Married Filing Jointly" to filing as "Single").
The mythical 100 flood plain Houston Texas 2017James Orr
Data is shown for one location in south Harris County (Clear Creek at I-45) where two near "1000 year floods" based on Harris County Flood Warning System 100 year flood, 500 year flood data within 40 years (in 1979 and 2017)
Hurricane harvey Impact On Houston Rainfall and Water DepthJames Orr
Screen prints of selected data from Harris County Flood Control District. There are rain gauges and stream depth gauges through out Harris and surrounding counties. Data was captured to show impacts in several areas including the Clear Creek Watershed near NASA's Johnson Space Center.
Software Reliability For Engineers - J.K.Orr 2015-09-23James Orr
This document describes a simplified engineering approach for computing software reliability that was developed for and applied to the Space Shuttle Primary Avionics Software System (PASS). The approach models the software as uniform layers representing releases. It computes reliability estimates based on failure data for each layer over time. The approach was found to more accurately predict reliability than a complex statistical model. The key advantages are that it accounts for changes in reliability characteristics over time due to process improvements and can estimate reliability prior to failures occurring based on relative size of software releases.
Space Shuttle Flight Software (PASS) Loss Of Crew Errors J.K. Orr 2015-08-27James Orr
This document summarizes a loss of crew and vehicle (LOCV) error in the Primary Avionics Software System (PASS) that was discovered prior to the Space Shuttle Challenger disaster (STS-51L) in 1986. The error caused the PASS system to hang during a Shuttle Mission Simulator simulation of a contingency abort to Rota, Spain for STS-1. The probability of the PASS error occurring was less than 1 in 240. The Backup Flight System was successfully engaged after 10 seconds when the error occurred. The error had been introduced prior to STS-1. It received high visibility within NASA due to occurring during prime crew training and representing the first total lockup of the PASS flight system after
The document presents a method for estimating defects remaining after a series of software inspections using minimal additional process steps and collected data. It involves inspectors privately recording defects found before each inspection and identifying defects they previously found during the meeting. A capture-recapture metric is calculated and used with tables or charts along with total defects found to predict remaining defects and establish confidence limits, as validated through simulations. The method aims to provide useful estimates with minimal effort for projects lacking metrics experience.
Annual PASS Failures Vs Known Product DRs J.K.Orr 2015-07-14James Orr
This document summarizes data on failures in the Space Shuttle Primary Avionics Software System (PASS) over its 30-year lifespan. It shows that the annual failure rate was correlated with the number of known product defects in the system each year, with about 6% of defects resulting in failures during operational use. Over time, more latent defects were discovered through testing and development, improving the known quality of the software. By studying this data, failure rates in future flight software systems may be better predicted based on the number of undiscovered defects remaining in the system.
This document provides supplemental data to support a previous post about using capture-recapture concepts for software inspections with a single defect. It describes the motivation and background for the research, including a reference study. It then explains that the data is from a simulated study recreating inspections with 3 to 6 inspectors and a single defect. The document presents results from 3 simulations showing the probability of one or more inspectors finding the single defect and the probability of two or more inspectors finding it, grouped by inspection effectiveness.
share - Lions, tigers, AI and health misinformation, oh my!.pptxTina Purnat
• Pitfalls and pivots needed to use AI effectively in public health
• Evidence-based strategies to address health misinformation effectively
• Building trust with communities online and offline
• Equipping health professionals to address questions, concerns and health misinformation
• Assessing risk and mitigating harm from adverse health narratives in communities, health workforce and health system
8 Surprising Reasons To Meditate 40 Minutes A Day That Can Change Your Life.pptxHolistified Wellness
We’re talking about Vedic Meditation, a form of meditation that has been around for at least 5,000 years. Back then, the people who lived in the Indus Valley, now known as India and Pakistan, practised meditation as a fundamental part of daily life. This knowledge that has given us yoga and Ayurveda, was known as Veda, hence the name Vedic. And though there are some written records, the practice has been passed down verbally from generation to generation.
Promoting Wellbeing - Applied Social Psychology - Psychology SuperNotesPsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
- Video recording of this lecture in English language: https://youtu.be/kqbnxVAZs-0
- Video recording of this lecture in Arabic language: https://youtu.be/SINlygW1Mpc
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html
Cell Therapy Expansion and Challenges in Autoimmune DiseaseHealth Advances
There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
Basavarajeeyam is a Sreshta Sangraha grantha (Compiled book ), written by Neelkanta kotturu Basavaraja Virachita. It contains 25 Prakaranas, First 24 Chapters related to Rogas& 25th to Rasadravyas.
Osteoporosis - Definition , Evaluation and Management .pdfJim Jacob Roy
Osteoporosis is an increasing cause of morbidity among the elderly.
In this document , a brief outline of osteoporosis is given , including the risk factors of osteoporosis fractures , the indications for testing bone mineral density and the management of osteoporosis
TEST BANK For Community Health Nursing A Canadian Perspective, 5th Edition by...Donc Test
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2. What’s Here This Week
• Present value views of the coronavirus case
data I have been collecting for the past few
months
• Focus on
– Total Cases per 100,000 population per state
– Average New Cases Per Day Over One Week
normalized by 100,000 population per state
– Report New Cases in week 4-24 to 5-1-2020
divided by the maximum New Cases per week
3. Formatting Order
• Data By Each State in alphabetical order
– Also US Total and District of Columbia
• Order of states (maximum to minimum)
– Cases per 100,000 population
– New Cases Per Day per 100,000 population
• Data Per State, US Total First
– New Cases Per Day
– New Cases Per Day per 100,000 population
– Cases by Day of Week (strong pattern present)
4. Data By State – Alphabetical Order
State
Presentation
Package
Detail Chart
Numbers
State Population Cases
Cases Per
100,000
Population
Rank Per
100,000
Maximum
Average New
Cases Per Over
One Week
4/23/2020 to
5/1/2020
Average New
Cases Per Over
One Week
4/23 to 5/1
Weekly Avg
Divided By
Maximum
4/23/2020 to
5/1/2020
Average Cases
Per Day Per
100,000
Population
Rank Per
week Per
100,000
Reported U.S. Total 15 - 17 334,351,157 1,095,496.00 327.6 13 31,394 28,108 89.5% 8.4 17
Alabama 102 - 104 4,908,621 7,295.00 148.6 30 223 181 81.1% 3.7 35
Alaska 162 - 164 734,002 364.00 49.6 50 13 4 28.1% 0.5 50
Arizona 135 - 137 7,378,494 7,962.00 107.9 41 274 274 100.0% 3.7 34
Arkansas 129 - 131 3,038,999 3,321.00 109.3 39 159 73 45.9% 2.4 42
California 114 - 116 39,937,489 52,152.00 130.6 34 1,739 1,574 90.5% 3.9 31
Colorado 60 - 62 5,845,526 15,768.00 269.7 16 502 502 100.0% 8.6 15
Connecticut 30 - 32 3,563,077 28,764.00 807.3 5 1,016 692 68.1% 19.4 7
Delaware 39 - 41 982,895 4,918.00 500.4 8 211 211 100.0% 21.5 6
District of Columbia 33 - 35 720,687 4,668.00 647.7 6 163 163 100.0% 22.6 5
Florida 93 - 95 21,992,985 34,728.00 157.9 27 1,149 599 52.2% 2.7 41
5. Data By State – Alphabetical Order
State
Presentation
Package
Detail Chart
Numbers
State Population Cases
Cases Per
100,000
Population
Rank Per
100,000
Maximum
Average New
Cases Per Over
One Week
4/23/2020 to
5/1/2020
Average New
Cases Per Over
One Week
4/23 to 5/1
Weekly Avg
Divided By
Maximum
4/23/2020 to
5/1/2020
Average Cases
Per Day Per
100,000
Population
Rank Per
week Per
100,000
Georgia 63 - 65 10,736,059 27,492.00 256.1 17 850 764 89.8% 7.1 22
Hawaii 165 - 167 1,412,687 619.00 43.8 51 28 3 9.0% 0.2 51
Idaho 126 - 128 1,826,156 2,035.00 111.4 38 112 24 21.1% 1.3 47
Illinois 42 - 44 12,659,682 56,055.00 442.8 9 2,342 2,342 100.0% 18.5 8
Indiana 57 - 59 6,745,354 18,630.00 276.2 15 707 707 100.0% 10.5 12
Iowa 66 - 68 3,179,849 7,884.00 247.9 18 491 491 100.0% 15.4 11
Kansas 99 - 101 2,910,357 4,449.00 152.9 29 239 239 100.0% 8.2 18
Kentucky 132 - 134 4,499,692 4,879.00 108.4 40 180 157 87.5% 3.5 36
Louisiana 36 - 38 4,645,184 28,771.00 619.4 7 1,279 376 29.4% 8.1 20
Maine 150 - 152 1,345,790 1,123.00 83.4 46 38 23 59.8% 1.7 45
Maryland 48 - 50 6,083,116 23,472.00 385.9 11 979 979 100.0% 16.1 10
6. Data By State – Alphabetical Order
State
Presentation
Package
Detail Chart
Numbers
State Population Cases
Cases Per
100,000
Population
Rank Per
100,000
Maximum
Average New
Cases Per Over
One Week
4/23/2020 to
5/1/2020
Average New
Cases Per Over
One Week
4/23 to 5/1
Weekly Avg
Divided By
Maximum
4/23/2020 to
5/1/2020
Average Cases
Per Day Per
100,000
Population
Rank Per
week Per
100,000
Massachusetts 24 - 26 6,976,597 64,311.00 921.8 3 2,367 1,906 80.5% 27.3 3
Michagan 45 - 47 10,045,029 42,356.00 421.7 10 1,434 816 56.9% 8.1 19
Minnesota 141 - 143 5,700,671 5,730.00 100.5 43 363 363 100.0% 6.4 26
Mississippi 72 - 74 2,989,260 7,212.00 241.3 20 254 254 100.0% 8.5 16
Missouri 117 - 119 6,169,270 7,835.00 127.0 35 241 173 71.8% 2.8 40
Montana 168 - 170 1,086,759 453.00 41.7 52 18 1 7.2% 0.1 52
Nebraska 69 - 71 1,952,570 4,838.00 247.8 19 345 345 100.0% 17.7 9
Neveda 90 - 92 3,139,658 5,227.00 166.5 26 153 118 77.5% 3.8 33
New Hampshire 84 - 86 1,371,246 2,310.00 168.5 24 84 84 100.0% 6.1 27
New Jersey 21 - 23 8,936,574 121,190.00 1356.1 2 3,528 2,713 76.9% 30.4 2
7. Data By State – Alphabetical Order
State
Presentation
Package
Detail Chart
Numbers
State Population Cases
Cases Per
100,000
Population
Rank Per
100,000
Maximum
Average New
Cases Per Over
One Week
4/23/2020 to
5/1/2020
Average New
Cases Per Over
One Week
4/23 to 5/1
Weekly Avg
Divided By
Maximum
4/23/2020 to
5/1/2020
Average Cases
Per Day Per
100,000
Population
Rank Per
week Per
100,000
New Mexico 87 - 89 2,096,640 3,513.00 167.6 25 142 142 100.0% 6.8 23
New York 18 - 20 19,440,469 308,314.00 1585.9 1 9,664 5,246 54.3% 27.0 4
North Carolina 138 - 140 10,611,862 10,923.00 102.9 42 410 410 100.0% 3.9 32
North Dakota 108 - 110 761,723 1,107.00 145.3 32 51 51 100.0% 6.7 24
Ohio 96 - 98 11,747,694 17,962.00 152.9 28 818 483 59.1% 4.1 30
Oklahoma 147 - 149 3,954,821 3,748.00 94.8 45 115 90 77.8% 2.3 43
Oregon 159 - 161 4,301,089 2,579.00 60.0 49 69 57 82.9% 1.3 46
Pennsylvania 51 - 53 12,820,878 46,791.00 365.0 12 1,651 1,161 70.3% 9.1 14
Rhode Island 27 - 29 1,056,161 8,962.00 848.5 4 360 323 89.7% 30.6 1
South Carolina 123 - 125 5,210,095 6,268.00 120.3 37 195 171 87.8% 3.3 37
8. Data By State – Alphabetical Order
State
Presentation
Package
Detail Chart
Numbers
State Population Cases
Cases Per
100,000
Population
Rank Per
100,000
Maximum
Average New
Cases Per Over
One Week
4/23/2020 to
5/1/2020
Average New
Cases Per Over
One Week
4/23 to 5/1
Weekly Avg
Divided By
Maximum
4/23/2020 to
5/1/2020
Average Cases
Per Day Per
100,000
Population
Rank Per
week Per
100,000
South Dakota 54 - 56 903,027 2,525.00 279.6 14 125 69 55.4% 7.7 21
Tennessee 81 - 83 6,897,576 11,891.00 172.4 23 452 452 100.0% 6.6 25
Texas 144 - 146 29,472,295 29,229.00 99.2 44 918 918 100.0% 3.1 38
Utah 105 - 107 3,282,115 4,828.00 147.1 31 149 149 100.0% 4.6 29
Vermont 111 - 113 628,061 879.00 140.0 33 41 7 17.9% 1.2 48
Virginia 75 - 77 8,626,207 16,901.00 195.9 21 819 819 100.0% 9.5 13
Washington 78 - 80 7,797,095 14,790.00 189.7 22 467 233 50.0% 3.0 39
West Virginia 156 - 158 1,778,070 1,136.00 63.9 48 48 18 37.4% 1.0 49
Wisconsin 120 - 122 5,851,754 7,314.00 125.0 36 280 280 100.0% 4.8 28
Wyoming 153 - 155 567,025 420.00 74.1 47 13 10 78.0% 1.8 44
9. Order Of States Per 100,000 Population
State
Cases Per
100,000
Population
Rank Per
100,000
State
4/23/2020 to 5/1/2020
Average Per 100,000
Population
Rank Per
week Per
100,000
New York 1585.9 1 Rhode Island 30.6 1
New Jersey 1356.1 2 New Jersey 30.4 2
Massachusetts 921.8 3 Massachusetts 27.3 3
Rhode Island 848.5 4 New York 27.0 4
Connecticut 807.3 5 District of Columbia 22.6 5
District of Columbia 647.7 6 Delaware 21.5 6
Louisiana 619.4 7 Connecticut 19.4 7
Delaware 500.4 8 Illinois 18.5 8
Illinois 442.8 9 Nebraska 17.7 9
Michagan 421.7 10 Maryland 16.1 10
Maryland 385.9 11 Iowa 15.4 11
10. Order Of States Per 100,000 Population
State
Cases Per
100,000
Population
Rank Per
100,000
State
4/23/2020 to 5/1/2020
Average Per 100,000
Population
Rank Per
week Per
100,000
Pennsylvania 365.0 12 Indiana 10.5 12
Reported U.S. Total 327.6 13 Virginia 9.5 13
South Dakota 279.6 14 Pennsylvania 9.1 14
Indiana 276.2 15 Colorado 8.6 15
Colorado 269.7 16 Mississippi 8.5 16
Georgia 256.1 17 Reported U.S. Total 8.4 17
Iowa 247.9 18 Kansas 8.2 18
Nebraska 247.8 19 Michagan 8.1 19
Mississippi 241.3 20 Louisiana 8.1 20
Virginia 195.9 21 South Dakota 7.7 21
Washington 189.7 22 Georgia 7.1 22
11. Order Of States Per 100,000 Population
State
Cases Per
100,000
Population
Rank Per
100,000
State
4/23/2020 to 5/1/2020
Average Per 100,000
Population
Rank Per
week Per
100,000
Tennessee 172.4 23 New Mexico 6.8 23
New Hampshire 168.5 24 North Dakota 6.7 24
New Mexico 167.6 25 Tennessee 6.6 25
Neveda 166.5 26 Minnesota 6.4 26
Florida 157.9 27 New Hampshire 6.1 27
Ohio 152.9 28 Wisconsin 4.8 28
Kansas 152.9 29 Utah 4.6 29
Alabama 148.6 30 Ohio 4.1 30
Utah 147.1 31 California 3.9 31
North Dakota 145.3 32 North Carolina 3.9 32
12. Order Of States Per 100,000 Population
State
Cases Per
100,000
Population
Rank Per
100,000
State
4/23/2020 to 5/1/2020
Average Per 100,000
Population
Rank Per
week Per
100,000
Vermont 140.0 33 Neveda 3.8 33
California 130.6 34 Arizona 3.7 34
Missouri 127.0 35 Alabama 3.7 35
Wisconsin 125.0 36 Kentucky 3.5 36
South Carolina 120.3 37 South Carolina 3.3 37
Idaho 111.4 38 Texas 3.1 38
Arkansas 109.3 39 Washington 3.0 39
Kentucky 108.4 40 Missouri 2.8 40
Arizona 107.9 41 Florida 2.7 41
North Carolina 102.9 42 Arkansas 2.4 42
13. Order Of States Per 100,000 Population
State
Cases Per
100,000
Population
Rank Per
100,000
State
4/23/2020 to 5/1/2020
Average Per 100,000
Population
Rank Per
week Per
100,000
Minnesota 100.5 43 Oklahoma 2.3 43
Texas 99.2 44 Wyoming 1.8 44
Oklahoma 94.8 45 Maine 1.7 45
Maine 83.4 46 Oregon 1.3 46
Wyoming 74.1 47 Idaho 1.3 47
West Virginia 63.9 48 Vermont 1.2 48
Oregon 60.0 49 West Virginia 1.0 49
Alaska 49.6 50 Alaska 0.5 50
Hawaii 43.8 51 Hawaii 0.2 51
Montana 41.7 52 Montana 0.1 52
14. Order Of States Per 100,000 Population
Note: Family in
• California
• George
• Texas