Malaria diagnosis and mapping with m-Health and geographic information systems GIS: evidence from UgandaReport as inadecuate

Malaria diagnosis and mapping with m-Health and geographic information systems GIS: evidence from Uganda - Download this document for free, or read online. Document in PDF available to download.

Malaria Journal

, 15:520

First Online: 24 October 2016Received: 11 March 2016Accepted: 05 October 2016DOI: 10.1186-s12936-016-1546-5

Cite this article as: Larocca, A., Moro Visconti, R. & Marconi, M. Malar J 2016 15: 520. doi:10.1186-s12936-016-1546-5


BackgroundRural populations experience several barriers to accessing clinical facilities for malaria diagnosis. Increasing penetration of ICT and mobile-phones and subsequent m-Health applications can contribute overcoming such obstacles.

MethodsGIS is used to evaluate the feasibility of m-Health technologies as part of anti-malaria strategies. This study investigates where in Uganda: 1 malaria affects the largest number of people; 2 the application of m-Health protocol based on the mobile network has the highest potential impact.

ResultsAbout 75% of the population affected by Plasmodium falciparum malaria have scarce access to healthcare facilities. The introduction of m-Health technologies should be based on the 2G protocol, as 3G mobile network coverage is still limited. The western border and the central-Southeast are the regions where m-Health could reach the largest percentage of the remote population. Six districts Arua, Apac, Lira, Kamuli, Iganga, and Mubende could have the largest benefit because they account for about 28% of the remote population affected by falciparum malaria with access to the 2G mobile network.

ConclusionsThe application of m-Health technologies could improve access to medical services for distant populations. Affordable remote malaria diagnosis could help to decongest health facilities, reducing costs and contagion. The combination of m-Health and GIS could provide real-time and geo-localized data transmission, improving anti-malarial strategies in Uganda. Scalability to other countries and diseases looks promising.

KeywordsRemote diagnosis Malaria mapping Mobile phones Rapid diagnostic tests RDTs Process innovation Healthcare Information communication technology ICT Geospatial health technology Geographic information systems GIS  Download fulltext PDF

Author: Alberto Larocca - Roberto Moro Visconti - Michele Marconi


Related documents