Literature DB >> 22894823

New technologies for reporting real-time emergent infections.

Rumi Chunara1, Clark C Freifeld, John S Brownstein.   

Abstract

Novel technologies have prompted a new paradigm in disease surveillance. Advances in computation, communications and materials enable new technologies such as mobile phones and microfluidic chips. In this paper we illustrate examples of new technologies that can augment disease detection. We describe technologies harnessing the internet, mobile phones, point of care diagnostic tools and methods that facilitate detection from passively collected unstructured data. We demonstrate how these can all assist in quicker detection, investigation and response to emerging infectious events. Novel technologies enable collection and dissemination of epidemic intelligence data to both public health practitioners and the general public, enabling finer temporal and spatial resolution of disease monitoring than through traditional public health processes.

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Year:  2012        PMID: 22894823      PMCID: PMC3760201          DOI: 10.1017/S0031182012000923

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  25 in total

1.  The ePetri dish, an on-chip cell imaging platform based on subpixel perspective sweeping microscopy (SPSM).

Authors:  Guoan Zheng; Seung Ah Lee; Yaron Antebi; Michael B Elowitz; Changhuei Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-03       Impact factor: 11.205

2.  Sources of variability in determining malaria parasite density by microscopy.

Authors:  Wendy Prudhomme O'Meara; F Ellis McKenzie; Alan J Magill; J Russ Forney; Barnyen Permpanich; Carmen Lucas; Robert A Gasser; Chansuda Wongsrichanalai
Journal:  Am J Trop Med Hyg       Date:  2005-09       Impact factor: 2.345

Review 3.  Hot spots in a wired world: WHO surveillance of emerging and re-emerging infectious diseases.

Authors:  D L Heymann; G R Rodier
Journal:  Lancet Infect Dis       Date:  2001-12       Impact factor: 25.071

4.  Digital disease detection--harnessing the Web for public health surveillance.

Authors:  John S Brownstein; Clark C Freifeld; Lawrence C Madoff
Journal:  N Engl J Med       Date:  2009-05-07       Impact factor: 91.245

Review 5.  Epidemiology, diagnosis, treatment, and control of trichinellosis.

Authors:  Bruno Gottstein; Edoardo Pozio; Karsten Nöckler
Journal:  Clin Microbiol Rev       Date:  2009-01       Impact factor: 26.132

6.  Applying a New Model for Sharing Population Health Data to National Syndromic Influenza Surveillance: DiSTRIBuTE Project Proof of Concept, 2006 to 2009.

Authors:  Donald R Olson; Marc Paladini; William B Lober; David L Buckeridge
Journal:  PLoS Curr       Date:  2011-08-02

7.  Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.

Authors:  Emily H Chan; Vikram Sahai; Corrie Conrad; John S Brownstein
Journal:  PLoS Negl Trop Dis       Date:  2011-05-31

8.  The uptake and accuracy of oral kits for HIV self-testing in high HIV prevalence setting: a cross-sectional feasibility study in Blantyre, Malawi.

Authors:  Augustine Talumba Choko; Nicola Desmond; Emily L Webb; Kondwani Chavula; Sue Napierala-Mavedzenge; Charlotte A Gaydos; Simon D Makombe; Treza Chunda; S Bertel Squire; Neil French; Victor Mwapasa; Elizabeth L Corbett
Journal:  PLoS Med       Date:  2011-10-04       Impact factor: 11.069

9.  Online reporting for malaria surveillance using micro-monetary incentives, in urban India 2010-2011.

Authors:  Rumi Chunara; Vina Chhaya; Sunetra Bane; Sumiko R Mekaru; Emily H Chan; Clark C Freifeld; John S Brownstein
Journal:  Malar J       Date:  2012-02-13       Impact factor: 2.979

10.  Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap project.

Authors:  John S Brownstein; Clark C Freifeld; Ben Y Reis; Kenneth D Mandl
Journal:  PLoS Med       Date:  2008-07-08       Impact factor: 11.069

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  17 in total

1.  Ebola Virus Disease: Rapid Diagnosis and Timely Case Reporting are Critical to the Early Response for Outbreak Control.

Authors:  Lola V Stamm
Journal:  Am J Trop Med Hyg       Date:  2015-07-14       Impact factor: 2.345

2.  Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

Authors:  Erdenebileg Batbaatar; Keun Ho Ryu
Journal:  Int J Environ Res Public Health       Date:  2019-09-27       Impact factor: 3.390

3.  Why we need crowdsourced data in infectious disease surveillance.

Authors:  Rumi Chunara; Mark S Smolinski; John S Brownstein
Journal:  Curr Infect Dis Rep       Date:  2013-08       Impact factor: 3.725

4.  Experiences with a voluntary surveillance system for early detection of equine diseases in Switzerland.

Authors:  R Struchen; D Hadorn; F Wohlfender; S Balmer; S Süptitz; J Zinsstag; F Vial
Journal:  Epidemiol Infect       Date:  2016-02-05       Impact factor: 4.434

5.  Technology and Data Collection in Chronic Disease Epidemiology.

Authors:  James B Holt
Journal:  Prev Chronic Dis       Date:  2015-10-29       Impact factor: 2.830

6.  Surveillance for Neisseria meningitidis Disease Activity and Transmission Using Information Technology.

Authors:  S Sohail Ahmed; Ernesto Oviedo-Orta; Sumiko R Mekaru; Clark C Freifeld; Gervais Tougas; John S Brownstein
Journal:  PLoS One       Date:  2015-05-20       Impact factor: 3.240

7.  Introduction of Mobile Health Tools to Support Ebola Surveillance and Contact Tracing in Guinea.

Authors:  Jilian A Sacks; Elizabeth Zehe; Cindil Redick; Alhoussaine Bah; Kai Cowger; Mamady Camara; Aboubacar Diallo; Abdel Nasser Iro Gigo; Ranu S Dhillon; Anne Liu
Journal:  Glob Health Sci Pract       Date:  2015-11-12

8.  Internet search patterns of human immunodeficiency virus and the digital divide in the Russian Federation: infoveillance study.

Authors:  Andrey Zheluk; Casey Quinn; Daniel Hercz; James A Gillespie
Journal:  J Med Internet Res       Date:  2013-11-12       Impact factor: 5.428

9.  Taking mHealth Forward: Examining the Core Characteristics.

Authors:  Teaniese Latham Davis; Ralph DiClemente; Michael Prietula
Journal:  JMIR Mhealth Uhealth       Date:  2016-08-10       Impact factor: 4.773

10.  Results from the centers for disease control and prevention's predict the 2013-2014 Influenza Season Challenge.

Authors:  Matthew Biggerstaff; David Alper; Mark Dredze; Spencer Fox; Isaac Chun-Hai Fung; Kyle S Hickmann; Bryan Lewis; Roni Rosenfeld; Jeffrey Shaman; Ming-Hsiang Tsou; Paola Velardi; Alessandro Vespignani; Lyn Finelli
Journal:  BMC Infect Dis       Date:  2016-07-22       Impact factor: 3.090

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