Evidence map›Paper›PMID 27557120›Full record

ArticlePloS one2016

Prioritization of Zoonotic Diseases in Kenya, 2015.

Peninah Munyua, Austine Bitek, Eric Osoro, Emily G Pieracci, Josephat Muema, Athman Mwatondo, Mathew Kungu, Mark Nanyingi, Radhika Gharpure, Kariuki Njenga and 1 more

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

106 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Molecular characterization ofFrontiers in veterinary science · 2026
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  15. Design and Implementation of a One Health Framework for Evaluating the Transmission Potential of Pathogens of Public Health Interest for Surveillance Studies.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
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46 more citing papers are in PubMed but not listed here.

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

11 authors.

Peninah MunyuaGlobal Disease Detection Program, Division of Global Health Protection, United States Centers for Disease Control and Prevention, Nairobi, Kenya.ORCID http://orcid.org/0000-0003-1950-8616
Austine BitekZoonotic Disease Unit, State Department of Veterinary Services; Ministry of Agriculture Livestock and Fisheries, Nairobi, Kenya.
Eric OsoroZoonotic Disease Unit, Department of Preventive and Promotive Heath; Ministry of Health, Nairobi, Kenya.
Emily G PieracciDivision of Vector-Borne Diseases, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Josephat MuemaZoonotic Disease Unit, State Department of Veterinary Services; Ministry of Agriculture Livestock and Fisheries, Nairobi, Kenya.
Athman MwatondoZoonotic Disease Unit, Department of Preventive and Promotive Heath; Ministry of Health, Nairobi, Kenya.
Mathew KunguZoonotic Disease Unit, State Department of Veterinary Services; Ministry of Agriculture Livestock and Fisheries, Nairobi, Kenya.
Mark NanyingiDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Kenya.
Radhika GharpureDivision of Vector-Borne Diseases, United States Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Kariuki NjengaCenter for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya.
Samuel M ThumbiCenter for Global Health Research, Kenya Medical Research Institute, Nairobi, Kenya.

Funding

CGH CDC HHS U19 GH000069Wellcome Trust 110330/Z/15/Z
6 · The paper itself

Abstract

introductionZoonotic diseases have varying public health burden and socio-economic impact across time and geographical settings making their prioritization for prevention and control important at the national level. We conducted systematic prioritization of zoonotic diseases and developed a ranked list of these diseases that would guide allocation of resources to enhance their surveillance, prevention, and control.

methodsA group of 36 medical, veterinary, and wildlife experts in zoonoses from government, research institutions and universities in Kenya prioritized 36 diseases using a semi-quantitative One Health Zoonotic Disease Prioritization tool developed by Centers for Disease Control and Prevention with slight adaptations. The tool comprises five steps: listing of zoonotic diseases to be prioritized, development of ranking criteria, weighting criteria by pairwise comparison through analytical hierarchical process, scoring each zoonotic disease based on the criteria, and aggregation of scores.

resultsIn order of importance, the participants identified severity of illness in humans, epidemic/pandemic potential in humans, socio-economic burden, prevalence/incidence and availability of interventions (weighted scores assigned to each criteria were 0.23, 0.22, 0.21, 0.17 and 0.17 respectively), as the criteria to define the relative importance of the diseases. The top five priority diseases in descending order of ranking were anthrax, trypanosomiasis, rabies, brucellosis and Rift Valley fever.

conclusionAlthough less prominently mentioned, neglected zoonotic diseases ranked highly compared to those with epidemic potential suggesting these endemic diseases cause substantial public health burden. The list of priority zoonotic disease is crucial for the targeted allocation of resources and informing disease prevention and control programs for zoonoses in Kenya.

Indexed as

Health PrioritiesPublic Health SurveillanceAnimalsHumansIncidenceKenyaPrevalenceSocioeconomic FactorsZoonoses

Identifiers

PMID27557120
PMCPMC4996421

What OpenQuestion holds

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Registered trials

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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.