Evidence map›Paper›PMID 40113846›Full record

ArticleScientific reports2025

National serosurvey and risk mapping reveal widespread distribution of Coxiella burnetii in Kenya.

Lillian Wambua, Bernard Bett, Hussein M Abkallo, Mathew Muturi, Daniel Nthiwa, Richard Nyamota, Enock Kiprono, Lynn Kirwa, Francis Gakuya, Andrew W Bartlow and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Serological Evidence of WidespreadVeterinary sciences · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Molecular characterization ofFrontiers in veterinary science · 2026
    Article
  6. Nationwide Seroprevalence ofVeterinary sciences · 2025
    Article
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

16 authors.

Lillian WambuaInternational Livestock Research Institute, Nairobi, Kenya. wambua.lillian@gmail.com.
Bernard BettInternational Livestock Research Institute, Nairobi, Kenya.
Hussein M AbkalloInternational Livestock Research Institute, Nairobi, Kenya.
Mathew MuturiInternational Livestock Research Institute, Nairobi, Kenya.
Daniel NthiwaDepartment of Biological Sciences, University of Embu, Embu, Kenya.
Richard NyamotaInternational Livestock Research Institute, Nairobi, Kenya.
Enock KipronoInternational Livestock Research Institute, Nairobi, Kenya.
Lynn KirwaInternational Livestock Research Institute, Nairobi, Kenya.
Francis GakuyaWildlife Research and Training Institute, Naivasha, Kenya.
Andrew W BartlowLos Alamos National Laboratory, Los Alamos, NM, USA.
Earl A MiddlebrookLos Alamos National Laboratory, Los Alamos, NM, USA.
Jeanne FairLos Alamos National Laboratory, Los Alamos, NM, USA.
Kariuki NjengaGlobal Health Programme, Washington State University, Nairobi, Kenya.
John GachohiGlobal Health Programme, Washington State University, Nairobi, Kenya.
Athman MwatondoInternational Livestock Research Institute, Nairobi, Kenya.
James M AkokoInternational Livestock Research Institute, Nairobi, Kenya. jamesakoko@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coxiella burnetii, the causative agent of Q fever, is an emerging pathogen that has the potential to cause severe chronic infections in animals and humans worldwide. The detrimental impact on public health is projected to be higher in the low- and middle-income countries given their lower capacity to sustain effective surveillance and response measures. We implemented a national serosurvey of cattle in Kenya to map the spatial distribution of the pathogen. The study used serum samples that were collected from randomly selected cattle in different ago-ecological zones across the country. These samples were screened for the pathogen using PrioCHECK Ruminant Q Fever AB Plate ELISA kit. The laboratory findings were analyzed using INLA package to identify risk factors for C. burnetii exposure from herd- and animal-level factors, area, and bioclimatic datasets accessed from online databases. A total of 6,593 cattle were recruited for the study; of these, 7.9% (95% CI; 7.2-8.5) were seropositive. Outputs from the multivariable analysis revealed that the animal age and some of the geographical variables including wind speed, area under shrubs and "petric calcisols" type of soil were significantly associated with C. burnetii seropositivity. Being a calf, weaner or subadult was associated with lower odds of exposure compared to being an adult by 0.24 (credibility interval: 2.5% and 97.5%), 0.41 (0.30-0.55) and 0.51 (0.38-0.69), respectively. In addition, a unit increase in the wind speed increased the odds of C. burnetii seropositivity by 1.27 (1.05-1.52) while an increase on the land area under shrubs was associated with lower odds of exposure (0.67 [0.47-0.69]). The effect of petric calcisols was non-linear; an increase of the land area with this soil type was associated with an exponential increase in C. burnetii seropositivity. This study provides new data on C. burnetii seroprevalence, information of its risk factors and a prevalence map that can be used for C. burnetii risk surveillance and control. The identification of environmental risk factors for C. burnetii exposure, and the increasing awareness of the zoonotic potential of the pathogen, calls for the need to enhance the existing collaborations for the surveillance and control of C. burnetii in line with the One Health framework. The evidence generated on the potential role of environmental factors can also be used to design nature-based interventions, such as replacement of vegetation in denuded areas, to reduce potential for the aerosolization of the pathogen. Livestock vaccination in the hotspots would also reduce animal infections and hence the contamination of the environment.

Indexed as

Cattle DiseasesCoxiella burnetiiQ FeverAnimalsAntibodies, BacterialCattleKenyaRisk FactorsSeroepidemiologic StudiesAntibodies, BacterialC. burnetiiKenyaOne healthQ feverRisk factors

Identifiers

PMID40113846
PMCPMC11926080

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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.