Tools for Outbreak Epidemiology: Presentation prepared for the 2nd international conference on Global Health Applications of Handheld Computing Devices in Atlanta, Georgia, USA on Nov 24-25, 2008
Riff: A Social Network and Collaborative Platform for Public Health Disease S...Taha Kass-Hout, MD, MS
A hybrid (event-based and indicator-based) platform designed to streamline the collaboration between domain experts and machine learning algorithms for detection, prediction and response to health-related events (such as disease outbreaks or pandemics). The platform helps synthesize health-related event indicators from a wide variety of information sources (structured and unstructured) into a consolidated picture for analysis, maintenance of “community-wide coherence”, and collaboration processes. The platform offers features to detect anomalies, visualize clusters of potential events, predict the rate and spread of a disease outbreak and provide decision makers with tools, methodologies and processes to investigate the event.
1. The document describes the Wheat Rust Toolbox, an ICT framework and database that collects and analyzes wheat rust surveillance data from around the world.
2. It provides various tools and services for monitoring stripe rust, including databases to track pathogen races and genotypes, survey data mapping tools, and a trap nursery data management system.
3. In 2014, 241 sets of stem, leaf, and stripe rust trap nursery samples were distributed to NARS for testing, and the toolbox will provide partners training and access to analysis tools to upload and study the results.
Risk & Opportunities: Healthcare InformationHal Amens
This document outlines risks and opportunities associated with the increasing complexity of health-related information sharing as records move to electronic formats. It notes that while electronic records provide opportunities to capture, store, share and use data in new ways, this also creates new risks from issues like data breaches and defining standards of care. However, the larger databases and connected networks also enable opportunities to more easily find needed information, conduct research across larger populations, and better inform patients and providers. The document acknowledges that while many have discussed these topics, taking a broader view of the many interconnected elements is novel and where risks and opportunities arise.
The document discusses the Early Alerting & Reporting (EAR) project, which aims to integrate existing early threat detection systems onto a common web-based platform. This would allow different organizations to access and share information on potential chemical, biological, radiological, and nuclear threats identified from open sources. The project also seeks to develop analytical risk assessments of these threats. Integrating these detection systems could help avoid duplicating efforts and resources while improving early detection capabilities. A pilot project would test sharing data and analysis between participating systems and users.
EpiDash 1.0 is a web-based dashboard that analyzes social media and other data to provide epidemiological context for gastrointestinal (GI) illnesses within a community. It aims to enhance surveillance, detect outbreaks earlier, and identify risk factors. The dashboard visualizes data through maps, word clouds, and time series graphs. It also provides case definitions, analytics to account for trends, and allows searching of keywords. An evaluation found it helped situational awareness for epidemiologists and integrated well into existing surveillance systems. Further work includes customizing it for different health districts and expanding data sources.
Topic:
Effective Visualizations that will aid in minimizing the spread of infectious diseases
Group members:
Lamar Munoz, Michael Brockenbrough, Neisha Sadhnani
Riff: A Social Network and Collaborative Platform for Public Health Disease S...Taha Kass-Hout, MD, MS
A hybrid (event-based and indicator-based) platform designed to streamline the collaboration between domain experts and machine learning algorithms for detection, prediction and response to health-related events (such as disease outbreaks or pandemics). The platform helps synthesize health-related event indicators from a wide variety of information sources (structured and unstructured) into a consolidated picture for analysis, maintenance of “community-wide coherence”, and collaboration processes. The platform offers features to detect anomalies, visualize clusters of potential events, predict the rate and spread of a disease outbreak and provide decision makers with tools, methodologies and processes to investigate the event.
1. The document describes the Wheat Rust Toolbox, an ICT framework and database that collects and analyzes wheat rust surveillance data from around the world.
2. It provides various tools and services for monitoring stripe rust, including databases to track pathogen races and genotypes, survey data mapping tools, and a trap nursery data management system.
3. In 2014, 241 sets of stem, leaf, and stripe rust trap nursery samples were distributed to NARS for testing, and the toolbox will provide partners training and access to analysis tools to upload and study the results.
Risk & Opportunities: Healthcare InformationHal Amens
This document outlines risks and opportunities associated with the increasing complexity of health-related information sharing as records move to electronic formats. It notes that while electronic records provide opportunities to capture, store, share and use data in new ways, this also creates new risks from issues like data breaches and defining standards of care. However, the larger databases and connected networks also enable opportunities to more easily find needed information, conduct research across larger populations, and better inform patients and providers. The document acknowledges that while many have discussed these topics, taking a broader view of the many interconnected elements is novel and where risks and opportunities arise.
The document discusses the Early Alerting & Reporting (EAR) project, which aims to integrate existing early threat detection systems onto a common web-based platform. This would allow different organizations to access and share information on potential chemical, biological, radiological, and nuclear threats identified from open sources. The project also seeks to develop analytical risk assessments of these threats. Integrating these detection systems could help avoid duplicating efforts and resources while improving early detection capabilities. A pilot project would test sharing data and analysis between participating systems and users.
EpiDash 1.0 is a web-based dashboard that analyzes social media and other data to provide epidemiological context for gastrointestinal (GI) illnesses within a community. It aims to enhance surveillance, detect outbreaks earlier, and identify risk factors. The dashboard visualizes data through maps, word clouds, and time series graphs. It also provides case definitions, analytics to account for trends, and allows searching of keywords. An evaluation found it helped situational awareness for epidemiologists and integrated well into existing surveillance systems. Further work includes customizing it for different health districts and expanding data sources.
Topic:
Effective Visualizations that will aid in minimizing the spread of infectious diseases
Group members:
Lamar Munoz, Michael Brockenbrough, Neisha Sadhnani
Ukuran dalam epidemiology (epidemiology meusurement) mencakup beberapa hal yang terkait dengan perhitungan angka kejadian penyakit atau masalah kesehatan di masyarakat berupa rasio, proporsi dan rate
Epidemiology is defined as the study of disease distribution, causation, and prevention in human populations. It aims to describe the magnitude of health problems, identify risk factors, and provide data to plan, implement, and evaluate disease prevention and control services. Some key measurements in epidemiology include mortality, morbidity, disability rates, and the distribution of disease characteristics and environmental/demographic factors. Epidemiology helps understand clinical evidence strength, increase information efficiency, and provide perspectives on determinants of health outcomes. It is used to historically study disease rise, diagnose communities, plan/evaluate services, assess individual risks, identify syndromes, and search for causes and risk factors.
Incidence refers to the rate of new cases of a disease occurring in a population over a specified period of time. It is calculated by taking the number of new cases (the numerator) divided by the total person-time at risk (the denominator) and multiplying by a standard rate. The denominator considers the total time each person in the population is observed and disease-free. Incidence provides information about the risk of developing a new disease and is used to compare disease burden between populations or time periods.
Epidemiology lecture 2 measuring disease frequencyINAAMUL HAQ
This document discusses measuring disease frequency in epidemiology. It defines key terms like incidence, prevalence, population at risk, and rates. Incidence refers to new cases in a specified time period, while prevalence looks at total current cases. Prevalence can be point prevalence (at a point in time), period prevalence (over a specified time period), or lifetime prevalence. The document provides examples of calculating prevalence from population data and discusses how prevalence is used to understand disease burden and plan health services.
This document discusses various epidemiological terms used to measure disease frequency and distribution in a population. It defines rate, ratio, and proportion as different ways of comparing two quantities, with rate expressing the occurrence of an event over time, ratio comparing the relative sizes or values of two quantities without a time component, and proportion expressing one quantity as a percentage of the whole. It also defines various epidemiological measures including incidence, prevalence, attack rate, case fatality rate, and different types of mortality rates.
This document provides an overview of basic measurements used in epidemiology. It discusses tools like proportion, rate, and ratio. It also covers various measures of mortality like crude death rate, specific death rate, and proportional mortality rate. Measures of morbidity like incidence and prevalence are explained. The relationship between incidence and prevalence is described. Standardization techniques are introduced to make rates comparable between populations.
This document discusses epidemiology, which is the study of the distribution and determinants of health and disease in populations. It covers the components, characteristics, and types of epidemiology studies. Descriptive epidemiology involves studying disease distribution by person, place, and time variables. Analytic epidemiology uses epidemiologic methods to explain disease occurrence and identify causal mechanisms. Key topics include descriptive variables, temporal variations, community diagnosis, epidemics, and determination of disease etiology through descriptive and analytical studies.
Heart failure is a common condition where the heart is unable to pump enough blood to meet the body's needs. It can result from structural or functional disorders of the heart. The document provides details on the definition, causes, risk factors, pathophysiology, symptoms, diagnostic evaluation, classification systems, and treatment of heart failure. It emphasizes the importance of controlling risk factors, using medications such as ACE inhibitors and diuretics to manage symptoms, and making lifestyle changes like following a low-sodium diet and exercising regularly.
Epidemiology is the study of disease patterns in human populations and the factors that influence health. It involves measuring disease frequency, investigating causes, and controlling health problems. The goals of epidemiology are to understand and reduce the burden of disease in society. Key aspects include describing disease distribution, identifying risk factors, and evaluating interventions. The history of epidemiology began with early physicians like Hippocrates and made advances through pioneers such as John Graunt, William Farr, and John Snow, who conducted seminal studies linking disease to environmental factors. Epidemiology now covers a wide range of fields and plays an important role in public health.
This document provides an introduction to the basic concepts of epidemiology. It defines epidemiology as the study of patterns, causes, and effects of health and disease conditions in populations. The aims of epidemiology are to describe disease distribution and frequency, identify risk factors, and provide data to prevent and control diseases. Epidemiologists make comparisons between groups with and without disease exposure to identify determinants and test hypotheses. Basic measurements in epidemiology include mortality, morbidity, disability, and the distribution of disease and risk factors. Rates, ratios, and proportions are key tools used to measure and express disease frequency in populations.
This document provides an overview of key concepts in epidemiology. It defines epidemiology as the study of frequency, distribution, and determinants of diseases and health conditions in populations along with applying this study to disease prevention and health promotion. The document also describes the components of epidemiology, its history, scope, purpose, types (descriptive and analytic), basic assumptions, features, disease causation theories and models, the natural history of diseases, levels of disease prevention, and the infectious disease process.
Introduction to epidemiology and it's measurementswrigveda
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in specified populations. It has three main components - distribution, determinants, and frequency. Measurement of disease frequency involves quantifying disease occurrence and is a prerequisite for epidemiological investigation. Rates, ratios, and proportions are key tools used to measure disease frequency and distribution. Incidence rates measure new cases over time while prevalence rates measure existing cases. These measurements are essential for describing disease patterns, formulating hypotheses, and evaluating prevention programs.
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
InSTEDD: Collaboration in Disease Surveillance & ResponseInSTEDD
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
At TED, InSTEDD spoke about what has happened since Larry Brilliant's original TED prize with in 2006. You can catch up on the video here: http://www.youtube.com/watch?v=MNhiHf84P9c&p=10B65227B128E216&playnext=1&index=1
RIFF - A Social Network and Collaborative Platform For Public Health Disease ...InSTEDD
The document discusses public health disease surveillance and syndromic surveillance. It describes how public health surveillance involves ongoing collection and analysis of health data to support public health programs and prevention/control efforts. Syndromic surveillance monitors pre-diagnostic health data to identify potential cases/outbreaks requiring a public health response. The document advocates adopting a social and collaborative decision-making approach to facilitate early identification and assessment of potential health threats in order to recommend control measures.
Collaboration Technology for Public Health and Humanitarian Action and Global...Taha Kass-Hout, MD, MS
CDC Focus On Users: Underserved Populations March 2-3, 2009...
Co-sponsored CDC's National Center for Health Marketing, the U.S. Department of Health and Human Services, Georgia State University Department of Communication, the Pew Internet & American Life Project, and the National Public Health Information Coalition.
InSTEDD develops collaborative communication and data sharing tools to help organizations coordinate emergency response efforts. Some key products mentioned are:
1. GeoChat - Allows groups to communicate in real-time on a map using text messaging to coordinate response activities.
2. Mesh4X - Integrates diverse data sources and applications to allow different organizations using different systems to securely share information.
3. Evolve - Helps teams collaboratively monitor data streams, detect emerging events, and make joint decisions through annotation, tagging, and machine learning capabilities.
Disease outbreak detection, monitoring and notification systems are increasingly gaining popularity since
these systems are designed to assess threats to public health and disease outbreaks are becoming
increasingly common world-wide. A variety of systems are in use around the world, with coverage of
national, international and global disease outbreaks. These systems use different taxonomies and
classifications for the detection and prioritization of potential disease outbreaks. In this paper, we study
and analyze the current disease outbreak systems. Subsequently, we extract features and functions of
typical and generic disease outbreak systems. We then propose a generic model for disease outbreak
notification systems. Our effort is directed towards standardizing the design process for typical disease
outbreak systems.
The document discusses approaches for modern disease surveillance using collaboration and semantic web technologies. It describes how tools like InSTEDD Evolve use machine learning, social media, and geospatial data to improve early detection of disease outbreaks and facilitate effective coordination of public health responses. Key components of the proposed approach include automated analysis, user feedback loops, and representation of unstructured data to enable early detection and verification of health-related events.
Our classification technique uses a deep CNN to classify skin lesions. An image is warped through the CNN architecture into a probability distribution over clinical skin disease classes. The CNN was pretrained on a large generic image dataset and fine-tuned on a dataset of over 129,000 skin lesions spanning 2,032 diseases. Data integration from multiple sources is key to future digital medicine, but challenges include data quality, availability, and privacy. Techniques like distributed learning models and homomorphic encryption can help address privacy concerns while enabling large-scale data sharing and analysis.
Ukuran dalam epidemiology (epidemiology meusurement) mencakup beberapa hal yang terkait dengan perhitungan angka kejadian penyakit atau masalah kesehatan di masyarakat berupa rasio, proporsi dan rate
Epidemiology is defined as the study of disease distribution, causation, and prevention in human populations. It aims to describe the magnitude of health problems, identify risk factors, and provide data to plan, implement, and evaluate disease prevention and control services. Some key measurements in epidemiology include mortality, morbidity, disability rates, and the distribution of disease characteristics and environmental/demographic factors. Epidemiology helps understand clinical evidence strength, increase information efficiency, and provide perspectives on determinants of health outcomes. It is used to historically study disease rise, diagnose communities, plan/evaluate services, assess individual risks, identify syndromes, and search for causes and risk factors.
Incidence refers to the rate of new cases of a disease occurring in a population over a specified period of time. It is calculated by taking the number of new cases (the numerator) divided by the total person-time at risk (the denominator) and multiplying by a standard rate. The denominator considers the total time each person in the population is observed and disease-free. Incidence provides information about the risk of developing a new disease and is used to compare disease burden between populations or time periods.
Epidemiology lecture 2 measuring disease frequencyINAAMUL HAQ
This document discusses measuring disease frequency in epidemiology. It defines key terms like incidence, prevalence, population at risk, and rates. Incidence refers to new cases in a specified time period, while prevalence looks at total current cases. Prevalence can be point prevalence (at a point in time), period prevalence (over a specified time period), or lifetime prevalence. The document provides examples of calculating prevalence from population data and discusses how prevalence is used to understand disease burden and plan health services.
This document discusses various epidemiological terms used to measure disease frequency and distribution in a population. It defines rate, ratio, and proportion as different ways of comparing two quantities, with rate expressing the occurrence of an event over time, ratio comparing the relative sizes or values of two quantities without a time component, and proportion expressing one quantity as a percentage of the whole. It also defines various epidemiological measures including incidence, prevalence, attack rate, case fatality rate, and different types of mortality rates.
This document provides an overview of basic measurements used in epidemiology. It discusses tools like proportion, rate, and ratio. It also covers various measures of mortality like crude death rate, specific death rate, and proportional mortality rate. Measures of morbidity like incidence and prevalence are explained. The relationship between incidence and prevalence is described. Standardization techniques are introduced to make rates comparable between populations.
This document discusses epidemiology, which is the study of the distribution and determinants of health and disease in populations. It covers the components, characteristics, and types of epidemiology studies. Descriptive epidemiology involves studying disease distribution by person, place, and time variables. Analytic epidemiology uses epidemiologic methods to explain disease occurrence and identify causal mechanisms. Key topics include descriptive variables, temporal variations, community diagnosis, epidemics, and determination of disease etiology through descriptive and analytical studies.
Heart failure is a common condition where the heart is unable to pump enough blood to meet the body's needs. It can result from structural or functional disorders of the heart. The document provides details on the definition, causes, risk factors, pathophysiology, symptoms, diagnostic evaluation, classification systems, and treatment of heart failure. It emphasizes the importance of controlling risk factors, using medications such as ACE inhibitors and diuretics to manage symptoms, and making lifestyle changes like following a low-sodium diet and exercising regularly.
Epidemiology is the study of disease patterns in human populations and the factors that influence health. It involves measuring disease frequency, investigating causes, and controlling health problems. The goals of epidemiology are to understand and reduce the burden of disease in society. Key aspects include describing disease distribution, identifying risk factors, and evaluating interventions. The history of epidemiology began with early physicians like Hippocrates and made advances through pioneers such as John Graunt, William Farr, and John Snow, who conducted seminal studies linking disease to environmental factors. Epidemiology now covers a wide range of fields and plays an important role in public health.
This document provides an introduction to the basic concepts of epidemiology. It defines epidemiology as the study of patterns, causes, and effects of health and disease conditions in populations. The aims of epidemiology are to describe disease distribution and frequency, identify risk factors, and provide data to prevent and control diseases. Epidemiologists make comparisons between groups with and without disease exposure to identify determinants and test hypotheses. Basic measurements in epidemiology include mortality, morbidity, disability, and the distribution of disease and risk factors. Rates, ratios, and proportions are key tools used to measure and express disease frequency in populations.
This document provides an overview of key concepts in epidemiology. It defines epidemiology as the study of frequency, distribution, and determinants of diseases and health conditions in populations along with applying this study to disease prevention and health promotion. The document also describes the components of epidemiology, its history, scope, purpose, types (descriptive and analytic), basic assumptions, features, disease causation theories and models, the natural history of diseases, levels of disease prevention, and the infectious disease process.
Introduction to epidemiology and it's measurementswrigveda
Epidemiology is defined as the study of the distribution and determinants of health-related states or events in specified populations. It has three main components - distribution, determinants, and frequency. Measurement of disease frequency involves quantifying disease occurrence and is a prerequisite for epidemiological investigation. Rates, ratios, and proportions are key tools used to measure disease frequency and distribution. Incidence rates measure new cases over time while prevalence rates measure existing cases. These measurements are essential for describing disease patterns, formulating hypotheses, and evaluating prevention programs.
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
InSTEDD: Collaboration in Disease Surveillance & ResponseInSTEDD
The document discusses collaboration in disease surveillance and response. It describes InSTEDD's hybrid approach to disease surveillance which combines various data sources to identify health risks. It also discusses tools developed by InSTEDD like GeoChat and Mesh4x that enable real-time information sharing and collaboration between organizations responding to disease outbreaks. The document emphasizes that collaboration is critical for effective outbreak containment and humanitarian response.
At TED, InSTEDD spoke about what has happened since Larry Brilliant's original TED prize with in 2006. You can catch up on the video here: http://www.youtube.com/watch?v=MNhiHf84P9c&p=10B65227B128E216&playnext=1&index=1
RIFF - A Social Network and Collaborative Platform For Public Health Disease ...InSTEDD
The document discusses public health disease surveillance and syndromic surveillance. It describes how public health surveillance involves ongoing collection and analysis of health data to support public health programs and prevention/control efforts. Syndromic surveillance monitors pre-diagnostic health data to identify potential cases/outbreaks requiring a public health response. The document advocates adopting a social and collaborative decision-making approach to facilitate early identification and assessment of potential health threats in order to recommend control measures.
Collaboration Technology for Public Health and Humanitarian Action and Global...Taha Kass-Hout, MD, MS
CDC Focus On Users: Underserved Populations March 2-3, 2009...
Co-sponsored CDC's National Center for Health Marketing, the U.S. Department of Health and Human Services, Georgia State University Department of Communication, the Pew Internet & American Life Project, and the National Public Health Information Coalition.
InSTEDD develops collaborative communication and data sharing tools to help organizations coordinate emergency response efforts. Some key products mentioned are:
1. GeoChat - Allows groups to communicate in real-time on a map using text messaging to coordinate response activities.
2. Mesh4X - Integrates diverse data sources and applications to allow different organizations using different systems to securely share information.
3. Evolve - Helps teams collaboratively monitor data streams, detect emerging events, and make joint decisions through annotation, tagging, and machine learning capabilities.
Disease outbreak detection, monitoring and notification systems are increasingly gaining popularity since
these systems are designed to assess threats to public health and disease outbreaks are becoming
increasingly common world-wide. A variety of systems are in use around the world, with coverage of
national, international and global disease outbreaks. These systems use different taxonomies and
classifications for the detection and prioritization of potential disease outbreaks. In this paper, we study
and analyze the current disease outbreak systems. Subsequently, we extract features and functions of
typical and generic disease outbreak systems. We then propose a generic model for disease outbreak
notification systems. Our effort is directed towards standardizing the design process for typical disease
outbreak systems.
The document discusses approaches for modern disease surveillance using collaboration and semantic web technologies. It describes how tools like InSTEDD Evolve use machine learning, social media, and geospatial data to improve early detection of disease outbreaks and facilitate effective coordination of public health responses. Key components of the proposed approach include automated analysis, user feedback loops, and representation of unstructured data to enable early detection and verification of health-related events.
Our classification technique uses a deep CNN to classify skin lesions. An image is warped through the CNN architecture into a probability distribution over clinical skin disease classes. The CNN was pretrained on a large generic image dataset and fine-tuned on a dataset of over 129,000 skin lesions spanning 2,032 diseases. Data integration from multiple sources is key to future digital medicine, but challenges include data quality, availability, and privacy. Techniques like distributed learning models and homomorphic encryption can help address privacy concerns while enabling large-scale data sharing and analysis.
InSTEDD: Integrated Global Early Warning and Response SystemInSTEDD
The document describes an integrated global early warning and response system developed by InSTEDD to streamline collaboration between domain experts and machine learning algorithms for detecting, predicting, and responding to health events. The system synthesizes health indicators from various structured and unstructured sources for analysis and visualization of potential outbreak clusters to aid decision making. It is currently being piloted in Southeast Asia to detect diseases, predict outbreak spread, and provide response tools.
International system for total early disease detection (INSTEDD) platformInSTEDD
This paper describes a new platform for early disease detection called InSTEDD. The platform combines data from various sources, both structured and unstructured. It uses machine learning to automatically extract features and detect relationships within and across data. Domain experts can then generate and test hypotheses, provide feedback to refine the system's reliability. The platform synthesizes indicators to detect anomalies, visualize potential disease clusters, and predict outbreak spread. It aims to streamline collaboration between experts and algorithms. The system is currently being piloted in Southeast Asia.
International system for total early disease detection (in stedd) platformInSTEDD
International System for Total Early Disease Detection (InSTEDD) Platform
Taha A. Kass-Hout, M.D., M.S., Nicolas di Tada
InSTEDD, Palo Alto, California
Data Synchronization of Epi Info™ Using a Mesh4X Adapter: Presentation at the AMIA 2009 Annual Symposium-Demonstrations: Management of Populations.
Disclaimer: Any views or opinions expressed by the speaker do not necessarily represent the views of the CDC, HHS, or any other entity of the United States government. Furthermore, the use of any product names, trade names, images, or commercial sources is for identification purposes only, and does not imply endorsement or government sanction by the U.S. Department of Health and Human Services.
Lecture 3 softwares used in health care (2)Munef Almadhi
This document summarizes major open source software used in healthcare, categorizing them into public health and bio surveillance, dental management, electronic health records, medical practice management, health system management, imaging/visualization, medical information systems, and research. Key software described include Epi Info for public health surveillance, Open Dental for dental records, CommuniMed and OpenEMR for electronic health records, ClearHealth for practice management, DHIS for health systems, Drishti for imaging, Caisis for medical information, and LabKey Server and Open Clinica for research.
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Colla...Taha Kass-Hout, MD, MS
ICT Developments in Mobile Technology for Global Public Health: InSTEDD Collaboration Tools. Mekong Basin Disease Surveillance (MBDS) Information Communication and Technology Forum, April 2nd–3rd, 2009, Mukdahan Province, Thailand
GenomeTrakr: Perspectives on linking internationally - Canada and IRIDA.cafionabrinkman
Talk at GenomeTrakr network meeting Sept 23 2015 in Washington DC. On Canada's open source Integrated Rapid Infectious Disease Analysis (IRIDA) bioinformatics platform - aiding genomic epidemiology analysis for public health agencies with planned open data release and linkage to GenomeTrakr. Discussed perspectives, challenges, solutions for getting more GenomeTrakr participation internationally.
Dr. George Poste gave a presentation on security, sensors, surveillance, smart machines and supercomputers at TASER International. He discussed his advisory roles in US national security and global security risks including WMD proliferation, jihadi terrorism, failed states, and cybersecurity. He also discussed topics like biometrics, facial recognition, drones, robotics, human-machine interactions, and the future impacts of automation, AI and technology convergence on security and the workforce.
Emerging technologies like smartphones, wearable devices, virtual reality, big data, and cloud computing are enabling a more connected global healthcare system. Smartphones provide personalized health information and tools like medical apps. Wearable devices allow for continuous, unobtrusive health monitoring. Virtual reality and 3D gaming can simulate real-world medical scenarios for education and training. Big data, machine learning, and cloud computing collectively support unlimited data storage, advanced analytics, and on-demand access and sharing of healthcare information on a global scale. These emerging technologies are helping to transition the world toward more informed, connected, and effective healthcare.
OSCon 2011 Talk: The implications of open source technologies in safety criti...Shahid Shah
FDA regulated medical devices are considered safety-critical systems due to their ability to affect patient lives. Given the nature of scrutiny and the requirement to play it safe, most medical device vendors end up choosing proprietary or custom solutions for operating systems, databases, messaging platforms, alarm notification systems, and event logging.
This talk uncovered some of the common misconceptions around government regulations and how there are not inherent limitations around using FOSS in safety-critical systems so long as the requisite risk analysis and quality assurance work is conducted.
Shahid presented his recent work on modern medical device architectures, the challenges and opportunities associated with using open source software in medical devices, and real-world findings from use of open source answering questions such as:
Will the FDA accept open source in safety-critical systems?
Are open source systems safe enough for medical devices?
What kind of assessments are needed for open source software in medical devices?
Similar to InSTEDD: Tools for Outbreak Epidemiology (20)
The new Pandemic Preparedness Citizen's Guide, edited by Sarah Booth, Kelsey Hills-Evans & Scott Teesdale to incorporate information around the recent COVID-19 pandemic.
Disease Reporting Hotline Launches to Stop Outbreaks in Cambodia InSTEDD
To improve disease reporting in Cambodia, the iLab Southeast Asia, in partnership with the Cambodian CDC and Skoll Global Threats Fund, launched a free to the public disease hotline built with InSTEDD's interactive voice response tool, Verboice.
Cambodia is in a 'hot zone region', susceptible to deadly disease spread. Timely reports from Health Centers across the country are critical to stopping outbreaks.
At the Epihack Rio event, public health experts and technologists worked together to prototype new solutions to prevent disease spread. Over the course of the event, participants engaged in discussions to identify priority issues, formed cross-disciplinary teams, and worked intensely to develop mobile applications and data visualization tools to support health monitoring and reporting, especially around mass gatherings like the Olympics. The prototypes were presented at the end to seek feedback on their potential real-world applications.
This document discusses mHealth (mobile health) technologies and their implementation in Cambodia and other countries. It provides examples of mHealth projects that use SMS, voice calls, and smartphone apps to facilitate: (1) routine infectious disease reporting from health centers; (2) grassroots malaria case reporting and referral of patients; (3) inventory alerts of malaria drug stocks; (4) reproductive health services and education for families; and (5) health information and services for garment factory workers, new mothers, and diabetics. The document emphasizes using simple mobile technologies to enhance information sharing and improve health services for communities with limited Internet access or literacy.
This document proposes a new system to improve wildlife sickness reporting in three main ways:
1. It would provide rangers with an easier, faster mobile reporting method through a short online form or phone hotline to submit data like the species, number of sick/dead animals, location, and photos in real-time.
2. All reports would be collected in a unified, online database displayed on an interactive map for officials to quickly detect abnormal patterns or potential outbreaks and take immediate action.
3. The system would also include configurable SMS alerts to notify Ministry officials of unusual case counts in real-time for better monitoring of wildlife health trends connected to public health systems.
This document discusses the development of a participatory animal health surveillance system in Chiang Mai, Thailand. The system aims to improve surveillance by engaging more people, including farmers, villagers, and consumers. It plans to use smartphones and voice calls to collect reports of abnormal animal situations and product issues. The collected data will then be visualized on a map to help locate farms, markets, and slaughterhouses. The system also seeks to better register all animal farms and provide online education about animal health and food safety to the public. An initial demonstration of the solution's design was presented.
Mobile technologies landscape and opportunity for civil society organizations...InSTEDD
Channe talks about how mobile technologies can help Civil Society Organizations (CSOs) do more with less. Channe will tackle practical issues like how to get started and their process of design and implementation. Channe will walk you through several exciting projects, including mobile technologies in labor rights and health care and the use of mobile phone as a data collection tool.
When: 3:30 - 5:00pm. Friday 7th February 2014
Where: Himawari Hotel, Phnom Penh
Organized by: Development Innovations
https://www.eventbrite.com/e/mobile-technologies-landscape-and-opportunity-for-csos-in-cambodia-tickets-10444502789
Routine infectious disease reporting using SMS at Kean Svay operational distr...InSTEDD
This document discusses a project in Southeast Asia that developed technology tools to improve infectious disease reporting from health centers to operational districts. The tools aimed to enhance collaboration and information sharing. Previously, health centers reported diseases via radio, phone calls, or paper which caused delays. The new system allowed health centers to send weekly SMS reports on 12 diseases using standardized codes. This enabled earlier detection and response to outbreaks. The SMS system launched in 2010 and was later improved in 2011 with the addition of a reporting wheel to simplify coding. By 2012 an online application was created to aggregate reporting data.
Verboice - Voice based platform and impact to grassroots CambodiaInSTEDD
Verboice is a voice-based platform that uses open source technology to help partners improve information sharing and service delivery in their communities. It has been used successfully in projects in over 15 countries. Examples of projects using Verboice in Cambodia include a phone-based contraception support system for Marie Stopes clinics, a national election hotline providing basic election information, and an interactive phone quiz for garment factory workers on issues like salaries and health. The document discusses Verboice and its impact on empowering grassroots organizations in Cambodia through technology.
The iLab Southeast Asia presented at BarCamp Phnom Penh 2012 on how to use Google's Map Maker application. The iLab SEA team trained participants on how to add and edit locations, draw streets, rivers, and other important landmarks on the Google map.
"Technology with a Purpose" - Eduardo Jezierski speaks at Ignite Health Foo 2...InSTEDD
This document discusses various projects and initiatives by InSTEDD including developing tools for collecting birth complication data in Sierra Leone, running innovation labs in Cambodia and elsewhere, using mobile tools like GeoChat to help health workers in Thailand during floods, and detecting and containing a leptospirosis outbreak faster through discussion on such tools. It also references principles of collective action, data as an extractive industry, the use of mobile information systems in Haiti after the earthquake, and launching high-altitude balloons to inspire new perspectives on Earth. Overall the document touches on InSTEDD's work using technology to help address global health challenges and promote positive change.
Mobile health (mHealth) technologies show promise for improving HIV treatment and prevention by allowing healthcare providers to remotely monitor patients and disseminate medical information. The authors review several mHealth initiatives that have increased access to HIV testing and treatment through the use of text messages, video observations, and other mobile platforms. If designed and implemented properly, mHealth could help reduce costs and expand care for HIV-positive individuals around the world.
With a worldwide penetration rate of over 85%, the mobile phone has become one of the most transformative tools in human history. As mobile communication technologies become less expensive, faster, and more accessible, the ability of people, communities and institutions to share information and knowledge will continue to skyrocket. Specifically for Global Health, the use of mobile communication and network technologies for delivery of health care (mHealth) holds great promise for the future. In low resource settings, community health workers (CHWs) provide a backbone for the delivery of health care services. Often isolated and without significant formal education or training, CHWs can be seen as key connectors between their communities and the formal health care system. In the hands of CHWs, mHealth tools may facilitate effective task shifting; by expanding the pool of human resources, increasing the productivity of health systems, and lowering the cost of services. The reported experience with mHealth suggest a wide range of opportunities exist to improve ease, speed, completeness and accuracy of the work of CHWs. The outcomes associated with these sort of new capabilities can be expected to result in ongoing improvements in performance on key national health indicators. The presentation will examine the state of the art and science-- by describing a systematic review of the literature and citing examples in action -- and provide recommendations focused on the design and development of mHealth tools for use by CHWs to strengthen Global Health interventions.
Speaker Bio:
Dennis M. Israelski, M.D
www.instedd.org/team
InSTEDD focuses on four key areas: maternal/child health, infectious diseases, emergency management, and local innovation/leadership. It uses a social-technical approach and human-centered design process to develop technology tools and solutions for health challenges. Examples of tools include GeoChat for collaboration, Remindem for messaging, and Resource Map for tracking resources geographically.
Presentation by Channe Suy of the iLab Southeast Asia speaking at TEDxPhnom Penh. To see the video of this presentation, please go here: http://instedd.org/blog/from-the-ted-prize-to-tedxphnom-penh/
This document discusses InSTEDD, an organization that aims to improve global health, safety, and sustainable development through creating collaboration technologies, collaborating with end users, building local capacity, and ensuring usefulness and impact. It provides examples of projects in countries like Haiti, Argentina, and Kenya. InSTEDD supports humanitarian organizations through understanding contexts, creating appropriate technologies, and building local capabilities. Its technology tools are open source, customizable, work on basic phones without internet or literacy requirements, and are low-cost.
RIO 2.0 was a demo alley event focused on building technologies for social impact. Dennis M. Israelski, the President and CEO of InSTEDD and a Clinical Professor of Medicine at Stanford University School of Medicine, presented on February 2, 2011 about InSTEDD's work on real time malaria reporting.
InSTEDD is a non-profit founded in 2006 that designs open source technology tools to help communities collaborate and share information to improve health, safety, and development. It works with governments, organizations, and communities around the world. InSTEDD Innovation Labs (iLabs) act as hubs for technology transfer, collaboration, and entrepreneurial innovation serving the public good in different regions.
The InSTEDD Toolkit provides a collection of open source tools to help improve collaboration, innovation, and resiliency. The tools include messaging applications, opinion and status collection, information extraction, task management, disease monitoring, and more. All tools are available for anyone to use and build upon to increase social impact. InSTEDD is actively involved with users to evolve the tools and maximize positive outcomes.
This document describes mHealth tools developed by InSTEDD to help prevent maternal-to-child transmission of HIV, including Remindem for sending reminders via text, Verboice for interactive voice messages, Resource Map for tracking health resources, and Pollit for conducting mobile surveys. The tools are designed to help improve adherence to treatment, identify available prevention and treatment resources, fight stigma, and engage communities.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
"NATO Hackathon Winner: AI-Powered Drug Search", Taras KlobaFwdays
This is a session that details how PostgreSQL's features and Azure AI Services can be effectively used to significantly enhance the search functionality in any application.
In this session, we'll share insights on how we used PostgreSQL to facilitate precise searches across multiple fields in our mobile application. The techniques include using LIKE and ILIKE operators and integrating a trigram-based search to handle potential misspellings, thereby increasing the search accuracy.
We'll also discuss how the azure_ai extension on PostgreSQL databases in Azure and Azure AI Services were utilized to create vectors from user input, a feature beneficial when users wish to find specific items based on text prompts. While our application's case study involves a drug search, the techniques and principles shared in this session can be adapted to improve search functionality in a wide range of applications. Join us to learn how PostgreSQL and Azure AI can be harnessed to enhance your application's search capability.
3. We create (or find) free and open-source software for collaboration toward collective action. We then teach other people how to create it for themselves Slide
4. Slide Questions in outbreak epidemiology What information isn’t getting to those who need it? Which groups should be making more decisions together ? What field reports and broadcast alerts should come faster ? Which systems need to share information? Collaboration… How much can we learn from what we already have ?
5. Slide Refugee trauma management Cholera outbreak Katrina response In our view, collaboration in outbreak epidemiology is THE critical task.
15. Hybrid Disease Surveillance Surveillance Systems Capture Filter Verify Event Monitoring Indicator Based Event Based Collect Analyze Interpret Feedback Feedback Detection Response Signal Control Alert
16.
17. Slide Information streams… … with collaborative spaces … and cognitive analytics Seven syndromes and 10 transmission modes > 100 infectious diseases > 180 micro-organisms > 140 symptoms > 50 chemicals
18.
19.
20. Innovation Lab ( Physical space in Cambodia ) 400 hour workplan 125 hour curriculum Curriculum for ownership of InSTEDD tools and beyond Neutral space for academia, Ministry, local NGOs, more Dissolving silos – teaching as cross-functional teams Capacity enhancement for IHRs and MDGs Back to Eric…
24. Further Information Slide [email_address] [email_address] +1-650-353-4440 www.TrackerNews.net taha.instedd.org
Editor's Notes
address these challenges by adopting a hybrid disease surveillance approach which fosters cross-disciplinary social network and open collaborative decision making approach in order to facilitate early identification of potential health threats their verification, assessment and investigation in order to recommend measures (public health and others) to control them. Indicator-based surveillance computation of indicators upon which unusual disease patterns to investigate are detected (number of cases, rates, proportion of strains…) Event-based surveillance the detection of public health events based on the capture of ad-hoc unstructured reports issued by formal or informal sources.
address these challenges by adopting a hybrid disease surveillance approach which fosters cross-disciplinary social network and open collaborative decision making approach in order to facilitate early identification of potential health threats their verification, assessment and investigation in order to recommend measures (public health and others) to control them. Indicator-based surveillance computation of indicators upon which unusual disease patterns to investigate are detected (number of cases, rates, proportion of strains…) Event-based surveillance the detection of public health events based on the capture of ad-hoc unstructured reports issued by formal or informal sources.