Evidence map›Paper›PMID 34428205›Full record

ArticlePLoS neglected tropical diseases2021

Latent class evaluation of the performance of serological tests for exposure to Brucella spp. in cattle, sheep, and goats in Tanzania.

Rebecca F Bodenham, Stella Mazeri, Sarah Cleaveland, John A Crump, Folorunso O Fasina, William A de Glanville, Daniel T Haydon, Rudovick R Kazwala, Tito J Kibona, Venance P Maro and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

18 authors at 9 institutions in 5 countries.

Rebecca F BodenhamInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-3426-9230
Stella MazeriThe Epidemiology, Economics and Risk Assessment (EERA) group, The Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-4591-8267
Sarah CleavelandInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-0456-0959
John A CrumpDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-4529-102X
Folorunso O FasinaEmergency Centre for Transboundary Animal Diseases, Food and Agriculture Organization (FAO) of the United Nations, Dar es Salaam, Tanzania.ORCID 0000-0003-3088-8752
William A de GlanvilleInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0003-2474-0356
Daniel T HaydonInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-1240-1886
Rudovick R KazwalaSokoine University of Agriculture, Morogoro, Tanzania.ORCID 0000-0003-3918-1323
Tito J KibonaNelson Mandela African Institution for Science and Technology, Arusha, Tanzania.
Venance P MaroKilimanjaro Christian Medical Centre, Moshi, Tanzania.
Michael J MazeCentre for International Health, University of Otago, Dunedin, New Zealand.ORCID 0000-0001-8909-1508
Blandina T MmbagaDuke Global Health Institute, Duke University, Durham, North Carolina, United States of America.ORCID 0000-0002-5550-1916
Niwael J Mtui-MalamshaEmergency Centre for Transboundary Animal Diseases, Food and Agriculture Organization (FAO) of the United Nations, Dar es Salaam, Tanzania.
Gabriel M ShirimaNelson Mandela African Institution for Science and Technology, Arusha, Tanzania.ORCID 0000-0001-7768-711X
Emanuel S SwaiDirectorate of Veterinary Services, Ministry of Livestock and Fisheries, Dodoma, Tanzania.ORCID 0000-0001-6273-7946
Kate M ThomasKilimanjaro Clinical Research Institute, Moshi, Tanzania.ORCID 0000-0002-1589-8314
Barend M deC BronsvoortThe Epidemiology, Economics and Risk Assessment (EERA) group, The Roslin Institute and The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3271-8485
Jo E B HallidayInstitute of Biodiversity, Animal Health and Comparative Medicine, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom.ORCID 0000-0002-1329-9035
University of Glasgow · GBDuke University · USKilimanjaro Christian Medical Centre · TZNelson Mandela African Institution of Science and Technology · TZRoslin Institute · GBMinistry of Livestock and Fisheries · TZOnderstepoort Veterinary Academic Hospital · ZASokoine University of Agriculture · TZUniversity of Otago · NZ

Funding

Investigating Febrile Deaths in Tanzania (INDITe)R01AI121378 · NIAID · DUKE UNIVERSITY · PI RUBACH, MATTHEW P · 2016 to 2020
$2.7M
The Impact and Society Ecology of Bacterial Zoonoses in Northern Tanzania: UnderR01TW009237 · FIC · DUKE UNIVERSITY · PI CRUMP, JOHN ANDREW · 2011 to 2014
$1.7M
Biotechnology and Biological Sciences Research Council BB/J010367Biotechnology and Biological Sciences Research Council BB/J010367/1Biotechnology and Biological Sciences Research Council BB/L018845/1Biotechnology and Biological Sciences Research Council BB/L018926/1Biotechnology and Biological Sciences Research Council BB/S013857/1Biotechnology and Biological Sciences Research Council BBS/E/D/20002172FIC NIH HHS R01 TW009237Medical Research CouncilNIAID NIH HHS R01 AI121378
6 · The paper itself

Abstract

backgroundBrucellosis is a neglected zoonosis endemic in many countries, including regions of sub-Saharan Africa. Evaluated diagnostic tools for the detection of exposure to Brucella spp. are important for disease surveillance and guiding prevention and control activities. METHODS AND

findingsBayesian latent class analysis was used to evaluate performance of the Rose Bengal plate test (RBT) and a competitive ELISA (cELISA) in detecting Brucella spp. exposure at the individual animal-level for cattle, sheep, and goats in Tanzania. Median posterior estimates of RBT sensitivity were: 0.779 (95% Bayesian credibility interval (BCI): 0.570-0.894), 0.893 (0.636-0.989), and 0.807 (0.575-0.966), and for cELISA were: 0.623 (0.443-0.790), 0.409 (0.241-0.644), and 0.561 (0.376-0.713), for cattle, sheep, and goats, respectively. Sensitivity BCIs were wide, with the widest for cELISA in sheep. RBT and cELISA median posterior estimates of specificity were high across species models: RBT ranged between 0.989 (0.980-0.998) and 0.995 (0.985-0.999), and cELISA between 0.984 (0.974-0.995) and 0.996 (0.988-1). Each species model generated seroprevalence estimates for two livestock subpopulations, pastoralist and non-pastoralist. Pastoralist seroprevalence estimates were: 0.063 (0.045-0.090), 0.033 (0.018-0.049), and 0.051 (0.034-0.076), for cattle, sheep, and goats, respectively. Non-pastoralist seroprevalence estimates were below 0.01 for all species models. Series and parallel diagnostic approaches were evaluated. Parallel outperformed a series approach. Median posterior estimates for parallel testing were ≥0.920 (0.760-0.986) for sensitivity and ≥0.973 (0.955-0.992) for specificity, for all species models.

conclusionsOur findings indicate that Brucella spp. surveillance in Tanzania using RBT and cELISA in parallel at the animal-level would give high test performance. There is a need to evaluate strategies for implementing parallel testing at the herd- and flock-level. Our findings can assist in generating robust Brucella spp. exposure estimates for livestock in Tanzania and wider sub-Saharan Africa. The adoption of locally evaluated robust diagnostic tests in setting-specific surveillance is an important step towards brucellosis prevention and control.

Indexed as

AnimalsBayes TheoremBrucellaBrucellosisCattleCattle DiseasesEnzyme-Linked Immunosorbent AssayFemaleGoat DiseasesGoatsLatent Class AnalysisMaleRose BengalSeroepidemiologic StudiesSerologic TestsSheepRose Bengal

Identifiers

PMID34428205
PMCPMC8384210
OpenAlexW3194692036

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.