Evidence map›Paper›PMID 34478450›Full record

ArticlePloS one2021

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

M Kariuki Njenga, Naomi Kemunto, Samuel Kahariri, Lindsey Holmstrom, Harry Oyas, Keith Biggers, Austin Riddle, John Gachohi, Mathew Muturi, Athman Mwatondo and 7 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  7. Advance Warning and Response Systems in Kenya: A Scoping Review.medRxiv : the preprint server for health sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 2 countries.

M Kariuki NjengaPaul Allen School for Global Health, Washington State University, Pullman, Washington, United States of America.ORCID 0000-0002-7629-7002
Naomi KemuntoPaul Allen School for Global Health, Washington State University, Pullman, Washington, United States of America.
Samuel KahaririKenya Ministry of Agriculture, Livestock and Fisheries, Nairobi, Kenya.
Lindsey HolmstromUnited States Department of Agriculture, Center for Epidemiology and Animal Health, Fort Collins, Colorado, United States of America.
Harry OyasKenya Ministry of Agriculture, Livestock and Fisheries, Nairobi, Kenya.
Keith BiggersTexas A & M Center for Applied Technology, Texas A & M University System, College Station, Texas, United States of America.ORCID 0000-0003-2192-8249
Austin RiddleTexas A & M Center for Applied Technology, Texas A & M University System, College Station, Texas, United States of America.
John GachohiPaul Allen School for Global Health, Washington State University, Pullman, Washington, United States of America.
Mathew MuturiKenya Ministry of Agriculture, Livestock and Fisheries, Nairobi, Kenya.
Athman MwatondoKenya Zoonotic Disease Unit, Nairobi, Kenya.
Francis GakuyaKenya Wildlife Service, Nairobi, Kenya.
Isaac LekoloolKenya Wildlife Service, Nairobi, Kenya.
Rinah SitawaEmergency Center for Transboundary Animal Diseases, Food and Agriculture Organization of the United Nations, Nairobi, Kenya.
Michael ApamakuEmergency Center for Transboundary Animal Diseases, Food and Agriculture Organization of the United Nations, Nairobi, Kenya.
Eric OsoroPaul Allen School for Global Health, Washington State University, Pullman, Washington, United States of America.
Marc-Alain WiddowsonDivision of Global Health Protection, Centers for Disease Control and Prevention-Kenya, Nairobi, Kenya.ORCID 0000-0002-0682-6933
Peninah MunyuaDivision of Global Health Protection, Centers for Disease Control and Prevention-Kenya, Nairobi, Kenya.
Kenya Wildlife Service · KEWashington State Department of Health · USCenters for Disease Control and Prevention · KEMinistry of Agriculture Livestock and Fisheries · KETexas A&M University System · USJomo Kenyatta University of Agriculture and Technology · KEUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo 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.

methodsThe 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.

resultsOf 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.

conclusionsThis 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.

Indexed as

Animal DiseasesCell PhoneCommunicable Diseases, EmergingSelf ReportSentinel SurveillanceAfrica South of the SaharaBiosurveillanceKenyaSoftware

Identifiers

PMID34478450
PMCPMC8415615
OpenAlexW3196908390

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.