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EnglishBackground Rural 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. Methods GIS is used to evaluate the feasibility of m-Health technologies as part of anti-malaria strategies. This study investigates where in Uganda: (i) malaria affects the largest number of people; (ii) the application of m-Health protocol based on the mobile network has the highest potential impact. Results About 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. Conclusions The 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-localised data transmission, improving anti-malarial strategies in Uganda. Scalability to other countries and diseases looks promising.
Larocca, A., Moro Visconti, R., Marconi, M., Malaria diagnosis and mapping with m-Health and geographic information systems (GIS): evidence from Uganda, <<MALARIA JOURNAL>>, 15; 15 (1): 520-531. [doi:10.1186/s12936-016-1546-5] [http://hdl.handle.net/10807/86557]
| Autori: | |
| Titolo: | Malaria diagnosis and mapping with m-Health and geographic information systems (GIS): evidence from Uganda |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1186/s12936-016-1546-5 |
| Data di pubblicazione: | 2016 |
| Abstract: | Background Rural 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. Methods GIS is used to evaluate the feasibility of m-Health technologies as part of anti-malaria strategies. This study investigates where in Uganda: (i) malaria affects the largest number of people; (ii) the application of m-Health protocol based on the mobile network has the highest potential impact. Results About 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. Conclusions The 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-localised data transmission, improving anti-malarial strategies in Uganda. Scalability to other countries and diseases looks promising. |
| Lingua: | Inglese |
| Rivista: | |
| Citazione: | Larocca, A., Moro Visconti, R., Marconi, M., Malaria diagnosis and mapping with m-Health and geographic information systems (GIS): evidence from Uganda, <<MALARIA JOURNAL>>, 15; 15 (1): 520-531. [doi:10.1186/s12936-016-1546-5] [http://hdl.handle.net/10807/86557] |
| Appare nelle tipologie: | Articolo in rivista, Nota a sentenza |
File in questo prodotto:
| File | Descrizione | Tipologia | Note | Licenza | |
|---|---|---|---|---|---|
| Malaria Journal - Malaria diagnosis with m-health and GIS Uganda.pdf | Versione Editoriale (PDF) | Nessuna Nota | Non specificato | Open Access Visualizza/Apri |
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