Evidence map›Paper›PMID 35342784›Full record

ArticleOne health (Amsterdam, Netherlands)2022

Spatiotemporal heterogeneity and determinants of canine rabies evidence at Local Government Area Level in Nigeria: Implications for rabies prevention and control.

Philip P Mshelbwala, J Scott Weese, Nicholas J Clark, Ishaya Tekki, Shovon Chakma, David Shamaki, Abdullah A Mamun, Charles E Rupprecht, Ricardo J Soares Magalhães

Open access · goldAbstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 11 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

9 authors at 4 institutions in 2 countries.

Philip P MshelbwalaUQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.
J Scott WeeseDepartment of Pathobiology, Ontario Veterinary College, Guelph, Canada.
Nicholas J ClarkUQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.
Ishaya TekkiRabies Laboratory, Infectious and Transboundary Animal Diseases Department, National Veterinary Research Institute, Vom, Nigeria.
Shovon ChakmaUQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.
David ShamakiRabies Laboratory, Infectious and Transboundary Animal Diseases Department, National Veterinary Research Institute, Vom, Nigeria.
Abdullah A MamunInstitute for of Social Science Research, the University of Queensland, Long Pocket, Australia.
Charles E RupprechtLYSSA LLC, Atlanta, GA, USA.
Ricardo J Soares MagalhãesUQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.
University of Queensland · AUNational Veterinary Research Institute · NGOntario Veterinary CollegeUniversity of Abuja · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine rabies poses a significant risk to humans and animals in Nigeria. However, the lack of reliable tools to evaluate the performance of existing canine rabies control programs to inform public health policy decisions poses a severe obstacle. We obtained canine rabies surveillance data from the National Veterinary Research Institute (NVRI) and supplemented these data with rabies diagnoses reported in the published studies from Nigeria. To uncover contextual factors (i.e., environmental and sociodemographic) associated with canine rabies evidence at the Local Government Area (LGA) level, we classified LGAs in Nigeria into four categories based on evidence availability (i.e., LGAs with NVRI data or published studies, both, or no evidence). We described the geographical and temporal variation in coverage. We fitted a multinomial regression model to examine the association between LGA level canine rabies evidence and potential sociodemographic and ecological determinants of canine rabies evidence. The effective annual testing during the 19 years was less than one dog/100,000 Nigerian resident-year. Our results showed that 58% of Nigerian LGAs (450/774) had not been targeted by the existing national rabies surveillance or studies on rabies, including ten states capitals with high human populations. While 16% (122/774) of Nigerian LGAs concentrated in Taraba, Adamawa, and Abia had canine rabies evidence from published studies, none of these LGAs was represented in the NVRI rabies surveillance data. We also observed an increasing trend in rabies evidence over time towards the eastern part of Nigeria. Our multinomial regression model indicated that education level, poverty, population density, land use and temperature were significantly associated with canine rabies evidence at the LGA level. This study underscores the value of combining canine rabies evidence from different sources to better understand the current disease situation for targeted intervention.

Indexed as

DisparityEnvironmental factorsEpidemiologyLyssavirusNigeriaRabiesSocioeconomic levelsZoonosis

Identifiers

PMID35342784
PMCPMC8941265
OpenAlexW4214916792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.