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Home | K4Health Home | K4Health For thousands of people living in rural Bangladesh, Health Assistants (HAs) and Family Welfare Assistants (FWAs)—collectively called field workers—are the first line of health care, and for many, the only cadre of health professional they have access to for health, population and nutrition (HPN) information and services. It therefore becomes very important that these field workers have the necessary skills and confidence to provide quality counseling services. The Bangladesh Knowledge Management Initiative (BKMI) implemented an eHealth pilot whereby 300 field workers (150 HAs and 150 FWAs), mostly women, received netbook computers loaded with digital resources (brochures, flipcharts, videos, job aids, etc.) and eLearning courses to facilitate HPN counseling and also improve their own knowledge.
Epidemiology Monitor - News Briefs Epidemiology Monitor - News Briefs New York State Health Department Investigators Conclude Outbreak Of Tic Disorders Is Mass Psychogenic Illness In a new report issued at the end of January, the New Your State Department of Health and its collaborating co-investigator organizations found no environmental or infectious etiologies for the mystery illness affecting 12 cases of tic-like behaviors at LeRoy High School in upstate New York near Buffalo. The investigators now consider the outbreak to be conversion disorder, a disease category characterized by physical symptoms without an identified cause other than psychological stress. Three of the twelve students had illness associated with tic symptoms before they attended the high school (three new students with possible tic symptoms were reported during the investigation and are currently under review).
The emergence of "nodding disease" : Aetiology The emergence of "nodding disease" : Aetiology The emergence of “new” diseases is a complicated issue. “New” diseases often just means “new to biomedical science.” Viruses like Ebola and HIV were certainly circulating in Africa in animal reservoirs for decades, and probably millenia, before they came to the attention of physicians via human infections. Hantavirus in the American southwest has likely infected many people, causing pneumonia of unknown origin, before the Four Corners outbreak led to the eventual identification of the Sin Nombre virus . Encroachment of humans into new areas can bring them into contact with novel infectious agents acquired via their food or water, or by exposure to new disease vectors such as mosquitoes or ticks.
Stalking the next epidemic Stalking the next epidemic It wasn't that long ago that most people believed infectious diseases originated in the will of the gods, or immoral behaviour. For the ancients, malaria hailed from the “rage of the dog star”. For 19th-century sanitarians, cholera arose from foul gases.
New model for epidemic contagion New model for epidemic contagion Humans are considered the hosts for spreading epidemics. The speed at which an epidemic spreads is now better understood thanks to a new model accounting for the provincial nature of human mobility, according to a study published in EPJ B. The research was conducted by a team lead by Vitaly Belik from the Massachusetts Institute of Technology, USA, who is also affiliated with the Max Planck Institute for Dynamics and Self-Organization, Germany. The authors modelled human mobility as recurrent trips centred around a home base. The model accounted for the bi-directional travels around a central node, representing their home location and forming a star-shaped network. Previous models were based on diffusion and would imply that people travel randomly in space, not necessarily returning to their home location.
Establishing a web-based integrated surveillance system for early detection of infectious disease epidemic in rural China: a field experimental study 1 Division of Global Health (IHCAR), Department of Public Health Sciences, Karolinska Institutet, Nobelsvag 9, SE-17177, Stockholm, Sweden 2 Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College of Huazhong University of Science and Technology, Hangkong Road 13#, Wuhan, 430030, Hubei, China 3 Department of Epidemiology, School of Public Health, Fudan University, No 138 Yi Xue Yuan Road, Shanghai, 200032, China 4 Center for Health Policy Studies, School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Road, Hangzhou, 310058, Zhejiang, China Establishing a web-based integrated surveillance system for early detection of infectious disease epidemic in rural China: a field experimental study
Developing the framework for an epidemic forecast infrastructure The EPIWORK project proposes a multidisciplinary research effort aimed at developing the appropriate framework of tools and knowledge needed for the design of epidemic forecast infrastructures to be used in by epidemiologists and public health scientists. www.epiwork.eu www.epiwork.eu
WHO Flu activity reports
Toward an Open-Access Global Database for Mapping, Control, and Surveillance of Neglected Tropical Diseases Toward an Open-Access Global Database for Mapping, Control, and Surveillance of Neglected Tropical Diseases Abstract Background After many years of general neglect, interest has grown and efforts came under way for the mapping, control, surveillance, and eventual elimination of neglected tropical diseases (NTDs). Disease risk estimates are a key feature to target control interventions, and serve as a benchmark for monitoring and evaluation. What is currently missing is a georeferenced global database for NTDs providing open-access to the available survey data that is constantly updated and can be utilized by researchers and disease control managers to support other relevant stakeholders. We describe the steps taken toward the development of such a database that can be employed for spatial disease risk modeling and control of NTDs.
Global NTD Db List of contributors A ------- Mary Edith Aryeetey Makerere University, Kampala, Uganda Moses Adrikoli Retired, former: University of Ghana, Legon, Accra, Ghana Global NTD Db
Scientists call for global neglected disease database Scientists call for global neglected disease database [ABUJA] A global database for neglected tropical diseases (NTDs) "is feasible and should be expanded without delay", the developers of a first 'proof of concept' for such a tool have said. While efforts to eliminate NTDs have improved over the years, a georeferenced, global, open-access database is essential to boost the work, they said in a paper published last month (13 December) in PLoS Neglected Tropical Diseases. "There is a paucity of empirical estimates regarding the distribution of infection risk and burden of NTDs at the national, district or subdistrict level in most parts of the developing world," they wrote. Such information is essential for planning and implementing cost-effective, sustainable control interventions in areas where there is limited knowledge of disease distribution. To investigate the feasibility of a database, the authors focused on schistosomiasis — a chronic disease that affects more than 700 million people worldwide, according to the WHO.
Human mobility is a key factor in spatial disease dynamics and related phenomena. In computational models host mobility is typically modeled by diffusion in space or on metapolulation networks. Alternatively, an effective force of infection across distance has been introduced to capture spatial dispersal implicitly. Both approaches do not account for important aspects of natural human mobility, diffusion does not capture the high degree of predictability in natural human mobility patters, e.g. the high percentage of return movements to individuals’ base location, the effective force of infection approach assumes immediate equilibrium with respect to dispersal. These conditions are typically not met in natural scenarios. The European Physical Journal B - Condensed Matter and Complex Systems, Volume 84, Number 4
New model for epidemic contagion
ecdc.europa.eu/en/publications/Publications/111209_SUR_Influenza_surveillance_Europe _2010_2012.pdf
GeoPatterns - Flu Detector - Nowcasting flu in South England
There are three goals for the Health Tracking Network: identify factors related to common illnesses; promote members' health by enabling them to track their personal health, fitness, and other outcomes easily; and generate donations to charities chosen by members. For more information about what membership involves, see the tour and FAQs. The Health Tracking Network is a special project run by Interdisciplinary Scientific Research (ISR), a scientific research and consulting firm. ISR's research focuses on infectious diseases and survey research methods, among other topics. Much of ISR's past research has been funded by the U.S. About the Health Tracking Network
The Global Innovation Series is supported by BMW i, a new concept dedicated to providing mobility solutions for the urban environment. It delivers more than purpose-built electric vehicles — it delivers smart mobility services. Visit bmw-i.com or follow @BMWi on Twitter. When the first cases of swine flu were detected in the spring of 2009, Twitter helped to inflame the panic that spread well ahead of the disease. The idea that anything useful could be mined from the flood of tweets reacting to the nascent threat was widely dismissed. Twitter Tracks Spread of Disease in Real Time
GeoPatterns - Flu Detector - Tracking Epidemics on Twitter
EpiSPIDER AI Mashup 2.0
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Last updated: Oct 3 2013 The Injury Mortality Data Collection of the GBD Injury Expert Group Summary description: Country-level injury mortality data tabulations disaggregated by year, age, sex, and external cause categories. GIMD - Global Burden of Injuries
Download cross-sectional and time series health systems data by indicator and country Generate bar chart, scatter plots, time series charts and diamond charts View country data on maps Generate automated country Health Systems Fact Sheets Display data on MCH, RH, malaria, TB and HIV/AIDS View data in motion HS 20/20: Data Analysis
IHME | Institute for Health Metrics and Evaluation
Data | Institute for Health Metrics and Evaluation

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