High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya

To improve early detection of emerging infectious diseases in sub-Saharan Africa (SSA), many of them zoonotic, numerous electronic animal disease-reporting systems have been piloted but not implemented because of cost, lack of user friendliness, and data insecurity. In Kenya, we developed and rolled...

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Veröffentlicht in:PloS one 2021-09, Vol.16 (9), p.e0244119
Hauptverfasser: Njenga, M Kariuki, Kemunto, Naomi, Kahariri, Samuel, Holmstrom, Lindsey, Oyas, Harry, Biggers, Keith, Riddle, Austin, Gachohi, John, Muturi, Mathew, Mwatondo, Athman, Gakuya, Francis, Lekolool, Isaac, Sitawa, Rinah, Apamaku, Michael, Osoro, Eric, Widdowson, Marc-Alain, Munyua, Peninah
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container_issue 9
container_start_page e0244119
container_title PloS one
container_volume 16
creator Njenga, M Kariuki
Kemunto, Naomi
Kahariri, Samuel
Holmstrom, Lindsey
Oyas, Harry
Biggers, Keith
Riddle, Austin
Gachohi, John
Muturi, Mathew
Mwatondo, Athman
Gakuya, Francis
Lekolool, Isaac
Sitawa, Rinah
Apamaku, Michael
Osoro, Eric
Widdowson, Marc-Alain
Munyua, Peninah
description To improve early detection of emerging infectious diseases in sub-Saharan Africa (SSA), many of them zoonotic, numerous electronic animal disease-reporting systems have been piloted but not implemented because of cost, lack of user friendliness, and data insecurity. In Kenya, we developed and rolled out an open-source mobile phone-based domestic and wild animal disease reporting system and collected data over two years to investigate its robustness and ability to track disease trends. The Kenya Animal Biosurveillance System (KABS) application was built on the Java® platform, freely downloadable for android compatible mobile phones, and supported by web-based account management, form editing and data monitoring. The application was integrated into the surveillance systems of Kenya's domestic and wild animal sectors by adopting their existing data collection tools, and targeting disease syndromes prioritized by national, regional and international animal and human health agencies. Smartphone-owning government and private domestic and wild animal health officers were recruited and trained on the application, and reports received and analyzed by Kenya Directorate of Veterinary Services. The KABS application performed automatic basic analyses (frequencies, spatial distribution), which were immediately relayed to reporting officers as feedback. Of 697 trained domestic animal officers, 662 (95%) downloaded the application, and >72% of them started reporting using the application within three months. Introduction of the application resulted in 2- to 14-fold increase in number of disease reports when compared to the previous year (relative risk = 14, CI 13.8-14.2, p90% of the reports, with respiratory, gastrointestinal and skin diseases constituting >85% of the reports. Herbivore wildlife (zebra, buffalo, elephant, giraffe, antelopes) accounted for >60% of the wildlife disease reports, followed by carnivores (lions, cheetah, hyenas, jackals, and wild dogs). Deaths, traumatic injuries, and skin diseases were most reported in wildlife. This open-source system was user friendly and secure, ideal for rolling out in other countries in SSA to improve disease reporting and enhance preparedness for epidemics of zoonotic diseases.
doi_str_mv 10.1371/journal.pone.0244119
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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Njenga, M Kariuki</au><au>Kemunto, Naomi</au><au>Kahariri, Samuel</au><au>Holmstrom, Lindsey</au><au>Oyas, Harry</au><au>Biggers, Keith</au><au>Riddle, Austin</au><au>Gachohi, John</au><au>Muturi, Mathew</au><au>Mwatondo, Athman</au><au>Gakuya, Francis</au><au>Lekolool, Isaac</au><au>Sitawa, Rinah</au><au>Apamaku, Michael</au><au>Osoro, Eric</au><au>Widdowson, Marc-Alain</au><au>Munyua, Peninah</au><au>Fèvre, Eric</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-09-03</date><risdate>2021</risdate><volume>16</volume><issue>9</issue><spage>e0244119</spage><pages>e0244119-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To improve early detection of emerging infectious diseases in sub-Saharan Africa (SSA), many of them zoonotic, numerous electronic animal disease-reporting systems have been piloted but not implemented because of cost, lack of user friendliness, and data insecurity. In Kenya, we developed and rolled out an open-source mobile phone-based domestic and wild animal disease reporting system and collected data over two years to investigate its robustness and ability to track disease trends. The Kenya Animal Biosurveillance System (KABS) application was built on the Java® platform, freely downloadable for android compatible mobile phones, and supported by web-based account management, form editing and data monitoring. The application was integrated into the surveillance systems of Kenya's domestic and wild animal sectors by adopting their existing data collection tools, and targeting disease syndromes prioritized by national, regional and international animal and human health agencies. Smartphone-owning government and private domestic and wild animal health officers were recruited and trained on the application, and reports received and analyzed by Kenya Directorate of Veterinary Services. The KABS application performed automatic basic analyses (frequencies, spatial distribution), which were immediately relayed to reporting officers as feedback. Of 697 trained domestic animal officers, 662 (95%) downloaded the application, and &gt;72% of them started reporting using the application within three months. Introduction of the application resulted in 2- to 14-fold increase in number of disease reports when compared to the previous year (relative risk = 14, CI 13.8-14.2, p&lt;0.001), and reports were more widely distributed. Among domestic animals, food animals (cattle, sheep, goats, camels, and chicken) accounted for &gt;90% of the reports, with respiratory, gastrointestinal and skin diseases constituting &gt;85% of the reports. Herbivore wildlife (zebra, buffalo, elephant, giraffe, antelopes) accounted for &gt;60% of the wildlife disease reports, followed by carnivores (lions, cheetah, hyenas, jackals, and wild dogs). Deaths, traumatic injuries, and skin diseases were most reported in wildlife. This open-source system was user friendly and secure, ideal for rolling out in other countries in SSA to improve disease reporting and enhance preparedness for epidemics of zoonotic diseases.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>34478450</pmid><doi>10.1371/journal.pone.0244119</doi><tpages>e0244119</tpages><orcidid>https://orcid.org/0000-0002-7629-7002</orcidid><orcidid>https://orcid.org/0000-0002-0682-6933</orcidid><orcidid>https://orcid.org/0000-0003-2192-8249</orcidid><oa>free_for_read</oa></addata></record>
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1932-6203
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source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry
subjects Account management
Africa South of the Sahara - epidemiology
Agriculture
Animal diseases
Animal Diseases - epidemiology
Animal health
Animals
Biology and Life Sciences
Biosurveillance
Camels
Carnivores
Cell Phone
Cellular telephones
Communicable Diseases, Emerging - epidemiology
Communicable Diseases, Emerging - veterinary
Data collection
Data entry
Disease control
Diseases
Domestic animals
Elephants
Engineering and Technology
Epidemics
Epidemiology
Evaluation
Fisheries
Health surveillance
Infectious diseases
Kenya
Livestock
Medicine and Health Sciences
Methods
Methyltestosterone
People and Places
Reporting
Rural areas
Self Report
Sentinel Surveillance - veterinary
Sheep
Skin diseases
Smartphones
Software
Spatial analysis
Spatial distribution
Surveillance systems
Wildlife
Wildlife conservation
Zoonoses
title High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya
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