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Use of mobile technology-based participatory mapping approaches to geolocate health facility attendees for disease surveillance in low resource settings.

Kimberly M Fornace | Henry Surendra | Tommy Rowel Abidin | Ralph Reyes | Maria L M Macalinao | Gillian Stresman | Jennifer Luchavez | Riris A Ahmad | Supargiyono Supargiyono | Fe Espino | Chris J Drakeley | Jackie Cook
International journal of health geographics | 2018

Identifying fine-scale spatial patterns of disease is essential for effective disease control and elimination programmes. In low resource areas without formal addresses, novel strategies are needed to locate residences of individuals attending health facilities in order to efficiently map disease patterns. We aimed to assess the use of Android tablet-based applications containing high resolution maps to geolocate individual residences, whilst comparing the functionality, usability and cost of three software packages designed to collect spatial information.

Pubmed ID: 29914506

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Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/K012126/1
  • Agency: Medical Research Council, United Kingdom
    Id: MR/N019199/1

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R Project for Statistical Computing (tool)

RRID:SCR_001905

Software environment and programming language for statistical computing and graphics. R is integrated suite of software facilities for data manipulation, calculation and graphical display. Can be extended via packages. Some packages are supplied with the R distribution and more are available through CRAN family.It compiles and runs on wide variety of UNIX platforms, Windows and MacOS.

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