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NATURE SCIENTIFIC REPORT 20/03/17 A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses. Assay speed and sensitivity We aimed to develop a rapid and reliable QUASR RT-LAMP assay for ZIKV, while relying on previously reported RT-LAMP assays for CHIKV and DENV17,19,22.

NATURE SCIENTIFIC REPORT 20/03/17 A smartphone-based diagnostic platform for rapid detection of Zika, chikungunya, and dengue viruses

We first set about identifying an optimal primer set for ZIKV, using the LAMP-compatible SYTO intercalating dyes to perform real-time monitoring. We then adapted the optimal primer set to the target-specific QUASR endpoint detection technique. The mechanism and chemistry of QUASR-based RT-LAMP detection techniques has previously been described in detail22. At least one recent publication describes a different RT-LAMP assay for ZIKV utilizing leuco crystal violet indicator13. We prepared a ZIKV RNA standard from cultured ZIKV.

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† UNIVERSITY OF ALABAMA IN HUNTSVILLE - 2011 - Applications of Smartphones for Ubiquitous Health Monitoring and Wellbeing Management. UNIVERSITY OF ALABAMA IN HUNTSVILLE - 2011 - Applications of Smartphones for Ubiquitous Health Monitoring and Wellbeing Management. AMBERRISME 26/05/12 Monitoring diseases via Cell phones and google maps. Today I have an awesome technology guest post on monitoring diseases via cell phones and Google maps from the beautiful Alysa Jeff.

AMBERRISME 26/05/12 Monitoring diseases via Cell phones and google maps

Enjoy! You never know what diseases could be lurking. Most of us have come across or could come across rapid diagnostic tests such as pregnancy tests, blood glucose levels or strep throat tests. Dropping liquid or drops on a strip isn’t the hard part, but the hard part comes in reading out the results. Many times human errors lead to incorrect results, thus becoming a health risk. The researchers basically described it as a device known as the RDT-reader attachment that clips onto a cell phone. Being very efficient in its action, the attachment can read almost any type of diagnostic test available. The attachment’s work doesn’t end there; it goes on to transmit the results wirelessly to a server for processing, storage, and mapping via Google Maps to track the spread of certain conditions and diseases around the world over time.

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?

GENOME MEDICINE 29/09/16 Mobile real-time surveillance of Zika virus in Brazil

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 [1]. 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.

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.

FRONTIERS IN PLANT SCIENCE 06/09/16 Using Deep Learning for Image-Based Plant Disease Detection 1EPFL, Switzerland 2Penn State University, USA

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)

The social media network Facebook™ was used to gather information on the occurrence and geographical distribution of dusky grouper dermatitis, a skin lesion affecting the dusky grouper, Epinephelus marginatus.

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)

Dusky grouper are common targets for spear fishermen in the Mediterranean and by monitoring spearfishing activity in Libyan waters, it was possible to document skin lesions from their entries on Facebook. Thirty-two Facebook accounts and 8 Facebook groups posting from 23 Libyan coastal cities provided a retrospective observational data set comprising a total of 382 images of dusky grouper caught by spearfishing between December 2011 and December 2015. Skin lesions were observable on 57/362 fish, for which images were of sufficient quality for analysis, giving a minimal prevalence for lesions of 15.75%. Only dusky grouper exceeding an estimated 40 cm total length exhibited lesions. PNAS - 2016 - Digital epidemiology reveals global childhood disease seasonality and the effects of immunization. Authors Edited by David L.

PNAS - 2016 - Digital epidemiology reveals global childhood disease seasonality and the effects of immunization

Denlinger, Ohio State University, Columbus, OH, and approved April 19, 2016 (received for review December 7, 2015) Significance Disease surveillance systems largely focus on infectious diseases with high mortality, whereas less severe diseases often go unreported. Using chicken pox as an example, we demonstrate that Internet queries can be used as a proxy for disease incidence when reporting is lacking.

Abstract Public health surveillance systems are important for tracking disease dynamics. Footnotes Author contributions: K.M.B., M.E.M. Freely available online through the PNAS open access option. PLOS 12/04/16 Mobile Phones As Surveillance Tools: Implementing and Evaluating a Large-Scale Intersectoral Surveillance System for Rabies in Tanzania. Citation: Mtema Z, Changalucha J, Cleaveland S, Elias M, Ferguson HM, Halliday JEB, et al. (2016) Mobile Phones As Surveillance Tools: Implementing and Evaluating a Large-Scale Intersectoral Surveillance System for Rabies in Tanzania.

PLOS 12/04/16 Mobile Phones As Surveillance Tools: Implementing and Evaluating a Large-Scale Intersectoral Surveillance System for Rabies in Tanzania

PLoS Med 13(4): e1002002. doi:10.1371/journal.pmed.1002002 Published: April 12, 2016 Copyright: © 2016 Mtema et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. NATIONAL SCIENCE FOUNDATION 22/08/15 PFI:BIC - Pathtracker: A smartphone-based system for mobile infectious disease detection and epidemiology. Award Abstract #1534126 PFI:BIC - Pathtracker: A smartphone-based system for mobile infectious disease detection and epidemiology This Partnerships for Innovation: Building Innovation Capacity (PFI:BIC) project will develop a mobile sensor technology for performing detection and identification of viral and bacterial pathogens.

NATIONAL SCIENCE FOUNDATION 22/08/15 PFI:BIC - Pathtracker: A smartphone-based system for mobile infectious disease detection and epidemiology

By means of a smartphone-based detection instrument, the results are shared with a cloud-based data management service that will enable physicians to rapidly visualize the geographical and temporal spread of infectious disease. When deployed by a community of medical users (such as veterinarians or point-of-care clinicians), the PathTracker system will enable rapid determination and reporting of instances of infectious disease that can inform treatment and quarantine responses that are currently not possible with tests performed at central laboratory facilities.

Clinical Microbiology and Infection Volume 21, Issue 2, February 2015, New digital technologies for the surveillance of infectious diseases at mass gathering events. Open Archive Abstract Outbreaks of infectious diseases at mass gatherings can strain the health system of the host region and pose a threat to local and global health.

Clinical Microbiology and Infection Volume 21, Issue 2, February 2015, New digital technologies for the surveillance of infectious diseases at mass gathering events

In addition to strengthening existing surveillance systems, most host nations also use novel technologies to assess disease risk and augment traditional surveillance approaches. We review novel approaches to disease surveillance using the Internet, mobile phone applications, and wireless sensor networks. These novel approaches to disease surveillance can result in prompt detection. Keywords. JOURNAL OF MEDICAL INTERNET RESEARCH - 2014 - Detecting Disease Outbreaks in Mass Gatherings Using Internet Data. Introduction Background Historically, infectious diseases have devastated societies.

JOURNAL OF MEDICAL INTERNET RESEARCH - 2014 - Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

Examples include the “Black Death” bubonic plague of the 14th century in which between 30-40% of Europe’s population is estimated to have died [], and the influenza epidemic of 1918-1920, in which as many as 50 million are estimated to have died []. Despite very significant advances in medicine, infectious diseases remain potentially very serious threats to society.

For example, a pandemic influenza is rated as the greatest national risk on the UK government risk register []. IOWA RESEARCH ONLINE - 2014 - thèse en ligne : Computational methods for mining health communications in web 2.0. Abstract Data from social media platforms are being actively mined for trends and patterns of interests. Problems such as sentiment analysis and prediction of election outcomes have become tremendously popular due to the unprecedented availability of social interactivity data of different types. In this thesis we address two problems that have been relatively unexplored. CDC EID - Volume 21, Number 8—August 2015. Au sommaire: Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection ; Author affiliations: Wildlife Conservation Society, New York, New York, USA (S.H. Olson); University of Wisconsin Madison, Madison, Wisconsin, USA (S.H.

Olson); Boston University School of Public Health, Boston (C.M. Benedum); Boston Children’s Hospital, Boston, Massachusetts, USA (C.M. Benedum, S.R. Mekaru, N.D. 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. Early-warning sensor systems that can test and track serious infectious diseases – such as major flu epidemics, MRSA and HIV – using mobile phones and the internet are being developed by a major new Interdisciplinary Research Collaboration (IRC) led by UCL. The new £11 million IRC, funded by the Engineering and Physical Sciences Research Council (total investment £16 million), will develop mobile health technologies that allow doctors to diagnose and track diseases much earlier than ever before.

The IRC will pioneer low cost, easy to use mobile phone-connected diagnostic tests based on advances in nanotechnology for use in GP surgeries, pharmacies, elderly care homes, developing countries and at home. The mobile tests aim to identify diseases with high sensitivity and specificity and give results within minutes from just a pin-prick of blood or a simple swab. The UCL team are already developing a smart-phone-connected prototype test for HIV with industry partners OJ-Bio.

Dr Rachel McKendry. 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. Smartphones are showing promise in disease surveillance in the developing world.

The Kenya Ministry of Health, along with researchers in Kenya for the Centers for Disease Control and Prevention, found that smartphone use was cheaper than traditional paper survey methods to gather disease information, after the initial set-up cost. Survey data collected with smartphones also in this study had fewer errors and were more quickly available for analyses than data collected on paper, according to a study presented today at the International Conference on Emerging Infectious Diseases in Atlanta.

Researchers compared survey data collection methods at four influenza surveillance sites in Kenya. At each site, surveillance officers identified patients with respiratory illness and administered a brief questionnaire that included demographic and clinical information. A total of 1,019 paper-based questionnaires were compared to 1,019 smartphone questionnaires collected at the same four sites. 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.

Alexander Rosewell , Berry Ropa, Heather Randall, Rosheila Dagina, Samuel Hurim, Sibauk Bieb, Siddhartha Datta, Sundar Ramamurthy, Glen Mola, Anthony B. Zwi, Pradeep Ray, and C. Raina MacIntyre Author affiliations: World Health Organization, Port Moresby, Papua New Guinea (A. Rosewell, H. Suggested citation for this article Abstract The health care system in Papua New Guinea is fragile, and surveillance systems infrequently meet international standards. 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. While World Cup referees finally have goal-line technology to prevent mistakes, doctors in Brazil will soon have their own computer gizmo to contain dengue outbreaks. In the tropical northeastern city of Natal, a new smartphone application could allow residents to alert authorities about the location of concentrations of mosquitos and cases of dengue with the touch of a finger.

The app was developed by university researcher Ricardo Valentim in collaboration with epidemiologist Ion de Andrade, who works for the Natal city council. "If someone identifies dengue, they pinpoint it on the (application's) map and that allows us to see where it is developing and to react immediately to stop it spreading," Andrade said. The "Dengue Observatory" app is in beta mode for now but is expected to come online this month. Once up and running, it will allow authorities to know exactly where to act. "If it's mosquitos, we can locate and treat the water source. There is no cure for the mosquito-borne disease. 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. The general process of Internet-based biosurveillance. Human input from information technology, public health and other experts can occur at any step. Media reports on dengue fever on Madeira (number of articles per day, from 5 September to 21 November, 2012). The grey bar denotes the initial European Centre for Disease Prevention and Control (ECDC) response to the first alert, issued on 3 October 2012 (described in the text). Abstract Internet biosurveillance utilizes unstructured data from diverse web-based sources to provide early warning and situational awareness of public health threats.

Clinical Microbiology and Infection Volume 20, Issue 1, January 2014, Web-based participatory surveillance of infectious diseases: the Influenzanet participatory surveillance experience. Weekly incidence data (influenza-like illness cases/100 000) for eight countries from 2003–2004 to 2012–2013. All the curves are rescaled on the maximum. Vertical lines correspond to months from November to May for each year. 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. Australian and New Zealand College of Veterinary Scientists - 2013 College Science Week Scientific Meeting 11–13 July 2013 Epide.

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 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 b.