Evidence map›Paper›PMID 41988555›Full record

SynthesisFrontiers in veterinary science2025

Systematic review and meta-analysis for the occurrence of Crimean-Congo hemorrhagic fever, Tularemia, and Rift Valley fever in pastoralist systems in Africa.

Dickson Machira Nyaguthii, James Hassel, Daniel Nthiwa, Michael E von Fricken, Ellen P Carlin, Francesco Fava, Victor Ofula, Dino Martins, David Redding, Jeffrey W Koehler and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Dickson Machira NyaguthiiHealth Theme, International Livestock Research Institute, Nairobi, Kenya.
James HasselHealth Theme, International Livestock Research Institute, Nairobi, Kenya.
Daniel NthiwaHealth Theme, International Livestock Research Institute, Nairobi, Kenya.
Michael E von FrickenSmithsonian's Global Health Program, Washington, DC, United States.
Ellen P CarlinParapet Science and Policy Consulting, Washington, DC, United States.
Francesco FavaDepartment of Environmental Science and Policy, Università degli Studi di Milano, Milan, Italy.
Victor OfulaKenya Medical Research Institute, Nairobi, Kenya.
Dino MartinsTurkana Basin Institute, Stony Brook University, Stony Brook, NY, United States.
David ReddingNatural History Museum, London, United Kingdom.
Jeffrey W KoehlerDiagnostic Systems Division, United States Army Medical Research Institute of Infectious Diseases, Fort Detrick, MD, United States.
Mathew MuturiZoonotic Disease Unit, State Directorate of Veterinary Services, Nairobi, Kenya.
Eric M FèvreHealth Theme, International Livestock Research Institute, Nairobi, Kenya.
Peter KimeliFaculty of Veterinary Medicine, University of Nairobi, Nairobi, Kenya.
Joshua Orungo OnonoFaculty of Veterinary Medicine, University of Nairobi, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pastoralism is a livestock production system practiced in areas with harsh environmental conditions and is characterized by low investment in animal health, increasing the risk of animal disease outbreaks. Zoonotic diseases such as Crimean-Congo hemorrhagic fever (CCHF), Rift Valley fever (RVF), and tularemia may spread through livestock product value chains. Methods: Published studies on the three diseases were systematically searched in PubMed, Web of Science, Scopus, and Google Scholar using predetermined search terms. Eligible studies were screened, and full texts were reviewed for data extraction. Extracted variables included publication details, laboratory methods, and measures of disease occurrence. Studies were grouped according to livestock value chain nodes. Random-effects models were used to estimate pooled prevalence. Publication bias was assessed using Egger's test and funnel plot symmetry. A random forest algorithm identified relevant moderators of prevalence, which were further evaluated using mixed-effects models. Results: A total of 34 studies were included, with RVF being the most studied pathogen (64.7%), followed by CCHF (29.4%) and tularemia (5.9%). RVF prevalence was highest in humans (29%; 95% CI: 7-69%), followed by camels (19%; 95% CI: 7-43%), and lowest in goats (6%; 95% CI: 4-10%). CCHF prevalence was highest in camels (48%; 95% CI: 8-91%) and lowest in humans (6%; 95% CI: 2-19%). At the value chain level, prevalence was highest at livestock farms for both RVF (13%; 95% CI: 10-16%) and CCHF (15%; 95% CI: 4-44%). Females were more likely to test positive (OR = 5.20; 95% CI: 3.09-8.76; Discussion: This review provides evidence that CCHF, RVF, and tularemia are endemic in pastoral areas. Strengthened surveillance along livestock value chain nodes is needed to mitigate the risk of disease transmission.

Indexed as

Crimean-Congo hemorrhagic feverpastoralismRift Valley feversystematic literature reviewzoonotic

Identifiers

PMID41988555
PMCPMC13076134

What OpenQuestion holds

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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.