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 |
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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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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, p<0.001), and reports were more widely distributed. Among domestic animals, food animals (cattle, sheep, goats, camels, and chicken) accounted for >90% 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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0244119</identifier><identifier>PMID: 34478450</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PloS one, 2021-09, Vol.16 (9), p.e0244119</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-6eeab7451dd537aa3de5e509e705777ab5253bfb9d75e14cd17af156e3859d53</citedby><cites>FETCH-LOGICAL-c692t-6eeab7451dd537aa3de5e509e705777ab5253bfb9d75e14cd17af156e3859d53</cites><orcidid>0000-0002-7629-7002 ; 0000-0002-0682-6933 ; 0000-0003-2192-8249</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415615/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415615/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53770,53772,79347,79348</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34478450$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Fèvre, Eric</contributor><creatorcontrib>Njenga, M Kariuki</creatorcontrib><creatorcontrib>Kemunto, Naomi</creatorcontrib><creatorcontrib>Kahariri, Samuel</creatorcontrib><creatorcontrib>Holmstrom, Lindsey</creatorcontrib><creatorcontrib>Oyas, Harry</creatorcontrib><creatorcontrib>Biggers, Keith</creatorcontrib><creatorcontrib>Riddle, Austin</creatorcontrib><creatorcontrib>Gachohi, John</creatorcontrib><creatorcontrib>Muturi, Mathew</creatorcontrib><creatorcontrib>Mwatondo, Athman</creatorcontrib><creatorcontrib>Gakuya, Francis</creatorcontrib><creatorcontrib>Lekolool, Isaac</creatorcontrib><creatorcontrib>Sitawa, Rinah</creatorcontrib><creatorcontrib>Apamaku, Michael</creatorcontrib><creatorcontrib>Osoro, Eric</creatorcontrib><creatorcontrib>Widdowson, Marc-Alain</creatorcontrib><creatorcontrib>Munyua, Peninah</creatorcontrib><title>High real-time reporting of domestic and wild animal diseases following rollout of mobile phone reporting system in Kenya</title><title>PloS one</title><addtitle>PLoS One</addtitle><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, p<0.001), and reports were more widely distributed. Among domestic animals, food animals (cattle, sheep, goats, camels, and chicken) accounted for >90% 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.</description><subject>Account management</subject><subject>Africa South of the Sahara - epidemiology</subject><subject>Agriculture</subject><subject>Animal diseases</subject><subject>Animal Diseases - epidemiology</subject><subject>Animal health</subject><subject>Animals</subject><subject>Biology and Life Sciences</subject><subject>Biosurveillance</subject><subject>Camels</subject><subject>Carnivores</subject><subject>Cell Phone</subject><subject>Cellular telephones</subject><subject>Communicable Diseases, Emerging - epidemiology</subject><subject>Communicable Diseases, Emerging - veterinary</subject><subject>Data collection</subject><subject>Data entry</subject><subject>Disease control</subject><subject>Diseases</subject><subject>Domestic animals</subject><subject>Elephants</subject><subject>Engineering and Technology</subject><subject>Epidemics</subject><subject>Epidemiology</subject><subject>Evaluation</subject><subject>Fisheries</subject><subject>Health surveillance</subject><subject>Infectious diseases</subject><subject>Kenya</subject><subject>Livestock</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Methyltestosterone</subject><subject>People and Places</subject><subject>Reporting</subject><subject>Rural areas</subject><subject>Self Report</subject><subject>Sentinel Surveillance - 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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 >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<0.001), and reports were more widely distributed. Among domestic animals, food animals (cattle, sheep, goats, camels, and chicken) accounted for >90% 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.</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> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2021-09, Vol.16 (9), p.e0244119 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2569042360 |
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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