» Articles » PMID: 19756138

EpiCollect: Linking Smartphones to Web Applications for Epidemiology, Ecology and Community Data Collection

Overview
Journal PLoS One
Date 2009 Sep 17
PMID 19756138
Citations 107
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Epidemiologists and ecologists often collect data in the field and, on returning to their laboratory, enter their data into a database for further analysis. The recent introduction of mobile phones that utilise the open source Android operating system, and which include (among other features) both GPS and Google Maps, provide new opportunities for developing mobile phone applications, which in conjunction with web applications, allow two-way communication between field workers and their project databases.

Methodology: Here we describe a generic framework, consisting of mobile phone software, EpiCollect, and a web application located within www.spatialepidemiology.net. Data collected by multiple field workers can be submitted by phone, together with GPS data, to a common web database and can be displayed and analysed, along with previously collected data, using Google Maps (or Google Earth). Similarly, data from the web database can be requested and displayed on the mobile phone, again using Google Maps. Data filtering options allow the display of data submitted by the individual field workers or, for example, those data within certain values of a measured variable or a time period.

Conclusions: Data collection frameworks utilising mobile phones with data submission to and from central databases are widely applicable and can give a field worker similar display and analysis tools on their mobile phone that they would have if viewing the data in their laboratory via the web. We demonstrate their utility for epidemiological data collection and display, and briefly discuss their application in ecological and community data collection. Furthermore, such frameworks offer great potential for recruiting 'citizen scientists' to contribute data easily to central databases through their mobile phone.

Citing Articles

Community science as a potential tool to monitor animal demography and human-animal interactions.

Marechal L, Lobo R, McAdam F, Simpson E, Woolston J, Stanley M Sci Rep. 2025; 15(1):2730.

PMID: 39837999 PMC: 11751146. DOI: 10.1038/s41598-024-80171-1.


Confirming non-endemicity of podoconiosis in Guatemala and in Idukki District in Kerala (India): a comparison of two approaches potentially suitable for other neglected tropical diseases.

Simpson H, Trueba M, Mendizabal-Cabrera R, George S, Tomy C, Sasi S BMC Glob Public Health. 2024; 2:75.

PMID: 39574824 PMC: 7616841. DOI: 10.1186/s44263-024-00104-y.


Understanding Viral Haemorrhagic Fevers: Virus Diversity, Vector Ecology, and Public Health Strategies.

Hewson R Pathogens. 2024; 13(10).

PMID: 39452780 PMC: 11510013. DOI: 10.3390/pathogens13100909.


How Do Age and Attitudes Affect the Quality of Data Collected by Young Citizen Scientists in an Ecological Research Project?.

Aivelo T Ecol Evol. 2024; 14(10):e70428.

PMID: 39398631 PMC: 11467035. DOI: 10.1002/ece3.70428.


Antimicrobial resistance profiles of and associated risk factors for nosocomial infection among patients at two tertiary healthcare facilities in Lusaka and Copperbelt Provinces, Zambia.

Mukomena P, Simuunza M, Munsaka S, Kwenda G, Bumbangi F, Yamba K JAC Antimicrob Resist. 2024; 6(5):dlae139.

PMID: 39286817 PMC: 11403203. DOI: 10.1093/jacamr/dlae139.


References
1.
Aanensen D, Spratt B . The multilocus sequence typing network: mlst.net. Nucleic Acids Res. 2005; 33(Web Server issue):W728-33. PMC: 1160176. DOI: 10.1093/nar/gki415. View

2.
Maiden M, Bygraves J, Feil E, Morelli G, Russell J, Urwin R . Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms. Proc Natl Acad Sci U S A. 1998; 95(6):3140-5. PMC: 19708. DOI: 10.1073/pnas.95.6.3140. View

3.
Morris K . Mobile phones connecting efforts to tackle infectious disease. Lancet Infect Dis. 2009; 9(5):274. DOI: 10.1016/s1473-3099(09)70118-5. View

4.
Kwok R . Personal technology: Phoning in data. Nature. 2009; 458(7241):959-61. DOI: 10.1038/458959a. View

5.
Butler D . Mashups mix data into global service. Nature. 2006; 439(7072):6-7. DOI: 10.1038/439006a. View