WSJ 25/05/20 China’s Plan to Make Permanent Health Tracking on Smartphones Stirs Concern. BMC PUBLIC HEALTH 09/01/21 The use of mobile phones for the prevention and control of arboviral diseases: a scoping review. WNYCSTUDIOS 14/04/20 Podcast : Is Social Media the Future of Epidemiology? News and social media are changing the way we learn about and track the spread of infectious diseases.
Everything from the reports published on your local news sites to the tweets you send are digital breadcrumbs that epidemiologists use to follow public health patterns and even crowdsource the disease-hunting process. One of the websites at the center of so-called digital epidemiology is ProMED, a mostly volunteer-run program of the International Society for Infectious Diseases. The electronic database and listserv are freely available to anyone in the world. ProMED relies on expert moderators to vet information on the web, as well as a pool of 80,000 subscribers worldwide to alert them of disease trends in their region. The Takeaway spoke to Dr. Check out our ongoing coverage of the COVID-19 pandemic here.
Click on the 'Listen' button above to hear this segment. PLOS COMPUTATIONAL BIOLOGY 26/07/12 Digital Epidemiology. Citation: Salathé M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, et al. (2012) Digital Epidemiology.
PLoS Comput Biol 8(7): e1002616. Editor: Philip E. LIFE SCIENCES, SOCIETY AND POLICY 19/03/19 Digital epidemiology and global health security; an interdisciplinary conversation. Building further on excellent points articulated by Henning, this epistemic shift in government and politics towards ‘global health security’ has been resultant, as I argue, from significant larger geopolitical transformations, and new reconsiderations of security perspective, in a post-Cold War era of rapidly proliferating non-traditional security challenges, which extend beyond traditional security correlations of the state/military, are transnational or global in scope, and again, to underscore the centrality of Henning’s earlier points, which cannot be prevented entirely, only addressed through coping mechanisms and the development of techniques of preemption and forecasting (Caballero-Anthony 2010).
The rise of global health security and its securitizing processes have transformed the ways in which international relations and global politics are understood, orientated and practiced. JOURNAL OF EPIDEMIOLOGY AND GLOBAL HEALTH - JUNE 2019 - Is Digital Epidemiology the Future of Clinical Epidemiology? Clinical epidemiology is conventionally defined as a type of research focused on dissecting the impact of precursors, causes, or courses of diseases in the general population .
Its ultimate scope is promoting better healthcare in terms of implementing more efficient diagnostic methods, more appropriate therapies, and more reliable prognostication. It is now undeniable that clinical epidemiology has strongly contributed to improve healthcare deliverance during the past decades, and now represents a cornerstone of medical knowledge acquisition . The many recent advances in information technology have catalyzed the diffusion of the Internet across most human domains, including science, medicine, and clinical epidemiology. A reliable definition of digital epidemiology has recently been provided by Salathé , as epidemiology based on digital sources data, generated outside the healthcare system. . M Salathé, Digital epidemiology: what is it, and where is it going? FRESH FRUIT PORTAL 03/07/19 Chile: SAG launches phone app to identify ag pests. Chile's Agricultural and Livestock Service (SAG) has announced the launch of a free application for cell phones, which is able to quickly detect agricultural and forest pests.
The platform will allow users to send a photo, video or audio of the plague that is affecting the crops, so that SAG specialists can analyze said information, respond to the request and, if necessary, take appropriate measures to control it. Horacio Bórquez, National Director of SAG told PortalFrutícola.com that this application responds to the permanent surveillance performed by the service for both Chilean and foreign pests. "We all have to take care of Chile, we all have to take care of our exports and our phytosanitary patrimony," said Bórquez. "The information we receive will be part of the vigilance that the country has. He also said that the creation of the platform responds to other factors that could have an impact on crops.
Curr Opin Insect Sci - AOUT 2018 - Contributions of Citizen Scientists to Arthropod Vector Data in the Age of Digital Epidemiology. USGS National Wildlife Health Center: Wildlife Health Information Sharing Partnership-event reporting system (WHISPers).
Retrieved (12.02.18). J. Lenoch, N. NguyenWHISPers, the USGS-NWHC Wildlife Health event reporting system Proc Wildl Dis Assoc, 8 (2016), p. 2579 U.S. AUCEGYPT_EDU 16/05/19 Digital Epidemiology: Utilizing Social Networks and Data Science for Health Applications. ILRI / CGIAR - 2018 - Poster : Mobile phone-based syndromic surveillance system for early detection and control of livestock diseases. Philos Trans R Soc Lond B Biol Sci. 2019 Sep 30; Mobile phone-based surveillance for animal disease in rural communities: implications for detection of zoonoses spillover.
Introduction Local, regional or global spread of emerging infectious diseases (EID) can have severe impact on human and animal health, cause large economic losses and threaten health security [1,2]. PLOS 05/08/19 Kankanet: An artificial neural network-based object detection smartphone application and mobile microscope as a point-of-care diagnostic aid for soil-transmitted helminthiases. Abstract Background Endemic areas for soil-transmitted helminthiases often lack the tools and trained personnel necessary for point-of-care diagnosis.
UNIVERSITAT AUTONOMA DE BARCELONA 16/07/18 Thèse en ligne : Technoscience and (critical) digital epidemiology. Towards new ontological shifts in the global management of biomedical emergencies. SPRINGER 01/04/18 Disease detection, epidemiology and outbreak response: the digital future of public health practice. Individual data that is aggregated into health statistics and collected routinely is a major part of indicator-based surveillance: the standard approach to epidemiological surveillance as practiced traditionally by health scientists at local, regional, and national health agencies and public health departments.
The methods commonly employed to conduct indicator-based surveillance have been widely validated and provide an established way to conduct official, continuous surveillance using reliable data for epidemiology (Velasco 2014). Because information often flows through official channels, personal data is often protected by agencies who usually comply with verified channels and are accountable to ensure privacy for individuals within a population. In contrast to indicator-based surveillance, new surveillance methods that comprise digital epidemiology employ methods of analyzing individual-based information in addition to aggregated information.
Life Sciences, Society and Policy December 2018, Is there a duty to participate in digital epidemiology? Life Sciences, Society and Policy December 2018, Individuals on alert: digital epidemiology and the individualization of surveillance Life Sciences, Society and Policy December 2018, Is there a duty to participate in digital epidemiology? Digital epidemiology promises exciting new insights into the occurrence and spread of diseases, into human behavior, into personal characteristics, and into the correlations among them.
Its main goal is to detect health or security threats worldwide, in real time, rooted in the mining of online data, including personal data from social media and even information on health behaviors and health attitudes. In contrast to classical epidemiology that relied on reports from health experts, digital epidemiology draws on data that have been self-produced and usually for other purposes. The innumerable traces that people leave from their myriad activities online—from searching for information to Facebook posts—comprise its raw material. With a large proportion of the worldwide population leaving daily data traces of personal information, the new possibilities for health surveillance and control seem unbounded (Salathé et al. 2012).
Life Sci Soc Policy. 2018 Dec; 14: 1. Digital epidemiology: what is it, and where is it going? Healthc Inform Res. 31/10/18 Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Hyeoun-Ae Park, PhD, FAAN, FACMI, RN,Hyesil Jung Jeongah On, RN,Seul Ki Park, RN and Hannah Kang, MSN, RN College of Nursing, Seoul National University, Seoul, Korea.
Corresponding Author: Hyesil Jung, MSN, RN. BMC INFECTIOUS DISEASES 13/08/18 Using Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approach. Hand, foot and mouth disease (HFMD), usually caused by enterovirus 71 (EV71) and coxsackievirus A16 (Cox a16), is a type of infectious disease that occurs most commonly among children under 5 years old [1, 2, 3, 4]. The typical symptoms of HFMD patients include fever, skin eruptions on hands and feet, and vesicles in the mouth. HFMD can cause mild to severe illness. Int J Med Inform. 2018 Jul;115:53-63. Search engines, news wires and digital epidemiology: Presumptions and facts. PLOS 01/11/18 Developing mobile health applications for neglected tropical disease research.
Abstract Mobile applications (apps) can bring health research and its potential downstream benefits closer to underserved populations. Drawing on experience developing an app for detecting and referring cases of cutaneous leishmaniasis in Colombia, called Guaral/app, we review key steps in creating such mobile health (mHealth) tools. These require consideration of the sociotechnical context using methods such as systems analysis and human-centered design (HCD), predicated on engagement and iteration with all stakeholders.
We emphasize usability and technical concerns and describe the interdependency of technical and human considerations for mHealth systems in rural communities. Citation: Navarro A, Rubiano L, Arango JD, Rojas CA, Alexander N, Saravia NG, et al. (2018) Developing mobile health applications for neglected tropical disease research. THE LANCET 26/08/17 Robert Koch Institut: towards digital epidemiology. SPRINGER 01/04/18 Disease detection, epidemiology and outbreak response: the digital future of public health practice. Individual data that is aggregated into health statistics and collected routinely is a major part of indicator-based surveillance: the standard approach to epidemiological surveillance as practiced traditionally by health scientists at local, regional, and national health agencies and public health departments.
The methods commonly employed to conduct indicator-based surveillance have been widely validated and provide an established way to conduct official, continuous surveillance using reliable data for epidemiology (Velasco 2014). Because information often flows through official channels, personal data is often protected by agencies who usually comply with verified channels and are accountable to ensure privacy for individuals within a population. Rev Saude Publica. 2016; 50: 17. Digital disease detection and participatory surveillance: overview and perspectives for Brazil. PLOS 07/10/10 Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting. OMS - 2015 - The use of social media in public health surveillance. NATURE SCIENTIFIC REPORTS 24/11/16 An ecological and digital epidemiology analysis on the role of human behavior on the 2014 Chikungunya outbreak in Martinique. LIFE SCIENCES, SOCIETY AND POLICY – 2017 - A statistician’s perspective on digital epidemiology.
Life Sci Soc Policy. 2018 Dec; 14: 1. Digital epidemiology: what is it, and where is it going? Life Sci Soc Policy. 2017 Dec; 13: 17. A statistician’s perspective on digital epidemiology. JMIR Public Health Surveill. 2017 Oct-Dec; 3(4): e94. A Smartphone App (AfyaData) for Innovative One Health Disease Surveillance from Community to National Levels in Africa: Intervention in Disease Surveillance.
BMC PUBLIC HEALTH 12/06/17 How to select a proper early warning threshold to detect infectious disease outbreaks based on the China infectious disease automated alert and response system (CIDARS) Public health emergencies, especially infectious disease outbreaks have enormously affected humankind [1, 2], and infectious diseases remain the major cause of morbidity and mortality in China .
The Chinese Ministry of Health believes that outbreak early detection and rapid control actions are important strategies for infectious disease control and prevention . BMC 09/03/17 ICARES: a real-time automated detection tool for clusters of infectious diseases in the Netherlands. UNIVERSITY OF ALABAMA IN HUNTSVILLE - 2011 - Applications of Smartphones for Ubiquitous Health Monitoring and Wellbeing Management.
Australian and New Zealand College of Veterinary Scientists - 2013 College Science Week Scientific Meeting 11–13 July 2013 Epidemiology Chapter proceedings, [PDF][PDF] Epidemiology Chapter proceedings QTG Coast, S Paradise - researchgate.net … Ian Langstaff 6 10.00 am MORNING TEA IN TRADE DISPLAY AREA 10.30 am An interventionstudy to evaluate risk factors for OsHV-1 associated mortalities in Pacific oysters: practical implications Navneet Dhand 8 10.50 am GIS and the macro-environment: Johne's disease … BMC Veterinary Research 10/11/17 Assisting differential clinical diagnosis of cattle diseases using smartphone-based technology in low resource settings: a pilot study.
In this pilot study we compared the level of match between the VetAfrica-Ethiopia app and a set of student practitioners’ diagnoses. It was not possible to confirm cases by laboratory investigation as many clinics were far from suitable laboratories and such investigation would have been highly resource intensive. BMC International Health and Human Rights 21/09/17 Online surveillance of media health event reporting in Nepal: digital disease detection from a One Health perspective. Traditional media sources such as television, radio, magazines, newspapers and other printed forms of communication, as well as the internet, are crucial in the distribution of health information across all regions of the globe. PLOS 06/07/17 Mobile-phone and handheld microscopy for neglected tropical diseases. NATURE SCIENTIFIC REPORT 20/03/17 A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses.
OEPP 27/07/15 EPPO BULLETIN - An SMS based system for surveillance of wheat rust diseases: a pilot initiative in Central Anatolia region in Turkey† SCIENTIFIC REPORTS 09/03/15 Using Mobile Phone Data to Predict the Spatial Spread of Cholera. GENOME MEDICINE 29/09/16 Mobile real-time surveillance of Zika virus in Brazil. Why are so few ZIKV genomes available more than a year after the virus was discovered in the Americas? Data from the Zika Open Research Portal ( suggest that, in an animal model of infection, ZIKV viral load reaches a maximum only 1–2 days after virus infection.
Furthermore, in humans, it seems that viral load peaks within a week of onset of clinical symptoms . The early peak in viremia, combined with mild symptoms for many ZIKV infections, means that there is often little virus left for sequencing when clinical samples (usually serum) are taken from patients with suspected ZIKV infection. Consequently, it has proven comparatively difficult to obtain full ZIKV genomes directly from clinical material without enrichment (for example, Most commonly this is undertaken by growth in cell culture, but this method is laborious and has the potential to introduce culture-specific genetic changes.
First, what is the extent of the genetic diversity of ZIKV circulating in Brazil? FRONTIERS IN PLANT SCIENCE 06/09/16 Using Deep Learning for Image-Based Plant Disease Detection 1EPFL, Switzerland 2Penn State University, USA. 1EPFL, Switzerland 2Penn State University, USA Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of 54,306 images of diseased and healthy plant leaves collected under controlled conditions, we train a deep convolutional neural network to identify 14 crop species and 26 diseases (or absence thereof).
The trained model achieves an accuracy of 99.35% on a held-out test set, demonstrating the feasibility of this approach. Overall, the approach of training deep learning models on increasingly large and publicly available image datasets presents a clear path towards smartphone-assisted crop disease diagnosis on a massive global scale. JOURNAL OF FISH DISEASE 15/08/16 A novel use of social media to evaluate the occurrence of skin lesions affecting wild dusky grouper, Epinephelus marginatus (Lowe, 1834), in Libyan coastal waters (concerne Facebook) PNAS - 2016 - Digital epidemiology reveals global childhood disease seasonality and the effects of immunization.
PLOS 12/04/16 Mobile Phones As Surveillance Tools: Implementing and Evaluating a Large-Scale Intersectoral Surveillance System for Rabies in Tanzania. NATIONAL SCIENCE FOUNDATION 22/08/15 PFI:BIC - Pathtracker: A smartphone-based system for mobile infectious disease detection and epidemiology. Clinical Microbiology and Infection Volume 21, Issue 2, February 2015, New digital technologies for the surveillance of infectious diseases at mass gathering events.
JOURNAL OF MEDICAL INTERNET RESEARCH - 2014 - Detecting Disease Outbreaks in Mass Gatherings Using Internet Data. IOWA RESEARCH ONLINE - 2014 - thèse en ligne : Computational methods for mining health communications in web 2.0. CDC EID - Volume 21, Number 8—August 2015. Au sommaire: Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection ; HACCP EUROPA 11/03/14 Diagnosing Diseases In Real Time With Smartphone? FOOD SAFETY MAGAZINE 23/06/14 Smartphone App for Food Allergen Testing. Malar J. 2013; 12: 48. Mobile phones improve case detection and management of malaria in rural Bangladesh. UNIVERSITY COLLEGE LONDON 09/05/13 Mobile health technologies to rapidly test and track infectious diseases. COLORADO STATE UNIVERSITY - 2012 - Using Cell Phones for Mosquito Vector Surveillance and Control. UNIVERSITY OF ILLINOIS - 2010 - Feasibility of Long-term Monitoring of Everyday Health Through Smartphones.
EUREKALERT 12/03/12 Smartphones more accurate, faster, cheaper for disease surveillance. IST AFRICA - 2012 - Collecting Integrated Disease Surveillance and Response Data through Mobile Phones. CDC EID - NOV 2013 - Mobile Phone–based Syndromic Surveillance System, Papua New Guinea. CDC EID - OCT 2010 - Mobile Phone–based Infectious Disease Surveillance System, Sri Lanka. Stud Health Technol Inform. 2010;161:179-89. Using mobile phones for rapid reporting of zoonotic diseases in rural South Africa. University College London - 2013 - A Roadmap to Integrated Digital Public Health Surveillance: the Vision and the Challenges.
Indian Institute of Technology Madras - 2013 - Perception of Mobile Phone Data Submission in Real Time Biosurveillance Program by Some Indian Health Workers. Nanyang Technological University (HK) - 2014 - THE HEALTH SUITE CONCEPT: A SOCIAL MEDIA PLATFORM FOR PUBLIC HEALTH APPLICATIONS. Int. J. Environ. Res. Public Health 2014, 11, 11559-11582 Mobile Phone-Based mHealth Approaches for Public Health Surveillance in Sub-Saharan Africa: A Systematic Review. NDTV 16/06/14 Brazilians Hope to Help Fight Dengue With New Smartphone App. BMC Med Inform Decis Mak. 2014 Dec 24;14(1):5. A comparison of smartphones to paper-based questionnaires for routine influenza sentinel surveillance, Kenya, 2011¿2012. EMERGING THEMES IN EPIMIOLOGY - 2014 - Public health for the people: participatory infectious disease surveillance in the digital age.
Clinical Microbiology and Infection Volume 19, Issue 11, November 2013, An overview of Internet biosurveillance. Clinical Microbiology and Infection Volume 20, Issue 1, January 2014, Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience. UNIVERSITY COLLEGE LONDON 09/05/13 Mobile health technologies to rapidly test and track infectious diseases.
Malar J. 2013; 12: 48. Mobile phones improve case detection and management of malaria in rural Bangladesh. COLORADO STATE UNIVERSITY - 2012 - Using Cell Phones for Mosquito Vector Surveillance and Control. UNIVERSITY OF ILLINOIS - 2010 - Feasibility of Long-term Monitoring of Everyday Health Through Smartphones. BOVINE VETERINARIAN 19/03/13 Smart phones transforming livestock disease monitoring. EUREKALERT 12/03/12 Smartphones more accurate, faster, cheaper for disease surveillance. IST AFRICA - 2012 - Collecting Integrated Disease Surveillance and Response Data through Mobile Phones.
LONDON INTERNATIONAL DEVELOPMENT CENTRE 30/07/10 Maasai Vets Carry Out Disease Surveillance of 86,000 Animals With Google Mobile. CDC EID - NOV 2013 - Mobile Phoneâ€“based Syndromic Surveillance System, Papua New Guinea. CDC EID - OCT 2010 - Mobile Phoneâ€“based Infectious Disease Surveillance System, Sri Lanka. Stud Health Technol Inform. 2010;161:179-89. Using mobile phones for rapid reporting of zoonotic diseases in rural South Africa. University College London - 2013 - A Roadmap to Integrated Digital Public Health Surveillance: the Vision and the Challenges.
Indian Institute of Technology Madras - 2013 - Perception of Mobile Phone Data Submission in Real Time Biosurveillance Program b.