Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya
Abstract Objective In Sub-Saharan Africa, there is an increase in trypanosome non-susceptibility to multiple trypanocides, but limited information on judicious trypanocide use is accessible to smallholder farmers and agricultural stakeholders in disease endemic regions, resulting in widespread multi...
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| Format: | Article |
| Language: | English |
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BMC
2019-03-01
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| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13104-019-4198-z |
| _version_ | 1819230325108113408 |
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| author | Sarah A. O. Wamwenje Ibrahim I. Wangwe Nicodemus Masila Caroline K. Mirieri Lillian Wambua Benard W. Kulohoma |
| author_facet | Sarah A. O. Wamwenje Ibrahim I. Wangwe Nicodemus Masila Caroline K. Mirieri Lillian Wambua Benard W. Kulohoma |
| author_sort | Sarah A. O. Wamwenje |
| collection | DOAJ |
| description | Abstract Objective In Sub-Saharan Africa, there is an increase in trypanosome non-susceptibility to multiple trypanocides, but limited information on judicious trypanocide use is accessible to smallholder farmers and agricultural stakeholders in disease endemic regions, resulting in widespread multi-drug resistance. Huge economic expenses and the laborious nature of extensive field studies have hindered collection of the requisite large-scale prospective datasets required to inform disease management. We examined the efficacy of community-led data collection strategies using smartphones by smallholder farmers to acquire robust datasets from the trypanosomiasis endemic Shimba hills region in Kenya. We used Open Data Kit, an open-source smartphone application development software, to create a data collection App. Results Our study provides proof of concept for the viability of using smartphone Apps to remotely collect reliable large-scale information from smallholder farmers and veterinary health care givers in resource poor settings. We show that these datasets can be reliably collated remotely, analysed, and the findings can inform policies that improve farming practices and economic wellbeing while restricting widespread multi-drug resistance. Moreover, this strategy can be used to monitor and manage other infectious diseases in other rural, resource poor settings. |
| first_indexed | 2024-12-23T11:27:16Z |
| format | Article |
| id | doaj.art-f8757e0ebdce4b6a9ca69343ffc3dede |
| institution | Directory Open Access Journal |
| issn | 1756-0500 |
| language | English |
| last_indexed | 2024-12-23T11:27:16Z |
| publishDate | 2019-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Research Notes |
| spelling | doaj.art-f8757e0ebdce4b6a9ca69343ffc3dede2022-12-21T17:48:55ZengBMCBMC Research Notes1756-05002019-03-011211610.1186/s13104-019-4198-zCommunity-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, KenyaSarah A. O. Wamwenje0Ibrahim I. Wangwe1Nicodemus Masila2Caroline K. Mirieri3Lillian Wambua4Benard W. Kulohoma5Centre for Biotechnology and Bioinformatics, University of NairobiCentre for Biotechnology and Bioinformatics, University of NairobiKenya Tsetse and Trypanosomiasis Eradication Council (KENTTEC)Directorate of Veterinary Services, Vector Regulatory and Zoological ServicesCentre for Biotechnology and Bioinformatics, University of NairobiCentre for Biotechnology and Bioinformatics, University of NairobiAbstract Objective In Sub-Saharan Africa, there is an increase in trypanosome non-susceptibility to multiple trypanocides, but limited information on judicious trypanocide use is accessible to smallholder farmers and agricultural stakeholders in disease endemic regions, resulting in widespread multi-drug resistance. Huge economic expenses and the laborious nature of extensive field studies have hindered collection of the requisite large-scale prospective datasets required to inform disease management. We examined the efficacy of community-led data collection strategies using smartphones by smallholder farmers to acquire robust datasets from the trypanosomiasis endemic Shimba hills region in Kenya. We used Open Data Kit, an open-source smartphone application development software, to create a data collection App. Results Our study provides proof of concept for the viability of using smartphone Apps to remotely collect reliable large-scale information from smallholder farmers and veterinary health care givers in resource poor settings. We show that these datasets can be reliably collated remotely, analysed, and the findings can inform policies that improve farming practices and economic wellbeing while restricting widespread multi-drug resistance. Moreover, this strategy can be used to monitor and manage other infectious diseases in other rural, resource poor settings.http://link.springer.com/article/10.1186/s13104-019-4198-zCommunity-ledSurveillanceSmartphoneTrypanosomiasis |
| spellingShingle | Sarah A. O. Wamwenje Ibrahim I. Wangwe Nicodemus Masila Caroline K. Mirieri Lillian Wambua Benard W. Kulohoma Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya BMC Research Notes Community-led Surveillance Smartphone Trypanosomiasis |
| title | Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya |
| title_full | Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya |
| title_fullStr | Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya |
| title_full_unstemmed | Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya |
| title_short | Community-led data collection using Open Data Kit for surveillance of animal African trypanosomiasis in Shimba hills, Kenya |
| title_sort | community led data collection using open data kit for surveillance of animal african trypanosomiasis in shimba hills kenya |
| topic | Community-led Surveillance Smartphone Trypanosomiasis |
| url | http://link.springer.com/article/10.1186/s13104-019-4198-z |
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