Evidence map›Paper›PMID 38806576›Full record

ArticleScientific reports2024

Molecular and serological diagnosis of multiple bacterial zoonoses in febrile outpatients in Garissa County, north-eastern Kenya.

Martin Wainaina, Johanna F Lindahl, Anne Mayer-Scholl, Christoph-Martin Ufermann, Jean-Baka Domelevo Entfellner, Uwe Roesler, Kristina Roesel, Delia Grace, Bernard Bett, Sascha Al Dahouk

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

10 authors.

Martin WainainaAnimal and Human Health Program, International Livestock Research Institute, Nairobi, 00100, Kenya. markimwa@gmail.com.
Johanna F LindahlAnimal and Human Health Program, International Livestock Research Institute, Nairobi, 00100, Kenya.
Anne Mayer-SchollDepartment of Biological Safety, German Federal Institute for Risk Assessment, 12277, Berlin, Germany.
Christoph-Martin UfermannDepartment of Biological Safety, German Federal Institute for Risk Assessment, 12277, Berlin, Germany.
Jean-Baka Domelevo EntfellnerAnimal and Human Health Program, International Livestock Research Institute, Nairobi, 00100, Kenya.
Uwe RoeslerInstitute for Animal Hygiene and Environmental Health, Freie Universität Berlin, 14163, Berlin, Germany.
Kristina RoeselAnimal and Human Health Program, International Livestock Research Institute, Nairobi, 00100, Kenya.
Delia GraceAnimal and Human Health Program, International Livestock Research Institute, Nairobi, 00100, Kenya.
Bernard BettAnimal and Human Health Program, International Livestock Research Institute, Nairobi, 00100, Kenya.
Sascha Al DahoukDepartment of Biological Safety, German Federal Institute for Risk Assessment, 12277, Berlin, Germany.

Funding

Deutscher Akademischer Austauschdienst 91693043
6 · The paper itself

Abstract

Bacterial zoonoses are diseases caused by bacterial pathogens that can be naturally transmitted between humans and vertebrate animals. They are important causes of non-malarial fevers in Kenya, yet their epidemiology remains unclear. We investigated brucellosis, Q-fever and leptospirosis in the venous blood of 216 malaria-negative febrile patients recruited in two health centres (98 from Ijara and 118 from Sangailu health centres) in Garissa County in north-eastern Kenya. We determined exposure to the three zoonoses using serological (Rose Bengal test for Brucella spp., ELISA for C. burnetti and microscopic agglutination test for Leptospira spp.) and real-time PCR testing and identified risk factors for exposure. We also used non-targeted metagenomic sequencing on nine selected patients to assess the presence of other possible bacterial causes of non-malarial fevers. Considerable PCR positivity was found for Brucella (19.4%, 95% confidence intervals [CI] 14.2-25.5) and Leptospira spp. (1.7%, 95% CI 0.4-4.9), and high endpoint titres were observed against leptospiral serovar Grippotyphosa from the serological testing. Patients aged 5-17 years old had 4.02 (95% CI 1.18-13.70, p-value = 0.03) and 2.42 (95% CI 1.09-5.34, p-value = 0.03) times higher odds of infection with Brucella spp. and Coxiella burnetii than those of ages 35-80. Additionally, patients who sourced water from dams/springs, and other sources (protected wells, boreholes, bottled water, and water pans) had 2.39 (95% CI 1.22-4.68, p-value = 0.01) and 2.24 (1.15-4.35, p-value = 0.02) times higher odds of exposure to C. burnetii than those who used unprotected wells. Streptococcus and Moraxella spp. were determined using metagenomic sequencing. Brucellosis, leptospirosis, Streptococcus and Moraxella infections are potentially important causes of non-malarial fevers in Garissa. This knowledge can guide routine diagnosis, thus helping lower the disease burden and ensure better health outcomes, especially in younger populations.

Indexed as

FeverLeptospiraLeptospirosisAdolescentAdultAgedAnimalsBacterial ZoonosesBrucellaBrucellosisChildChild, PreschoolFemaleHumansKenyaMale

Identifiers

PMID38806576
PMCPMC11133362

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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.