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

Disparity Environmental factors Epidemiology Lyssavirus Nigeria Rabies Socioeconomic levels Zoonosis

Journal

One health (Amsterdam, Netherlands)
ISSN: 2352-7714
Titre abrégé: One Health
Pays: Netherlands
ID NLM: 101660501

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 19 10 2021
revised: 25 02 2022
accepted: 28 02 2022
entrez: 28 3 2022
pubmed: 29 3 2022
medline: 29 3 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35342784
doi: 10.1016/j.onehlt.2022.100378
pii: S2352-7714(22)00010-6
pmc: PMC8941265
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100378

Informations de copyright

© 2022 The Author(s).

Références

Vector Borne Zoonotic Dis. 2017 Jun;17(6):432-438
pubmed: 28418772
Sci Rep. 2018 Jul 18;8(1):10864
pubmed: 30022116
PLoS Negl Trop Dis. 2021 Aug 16;15(8):e0009617
pubmed: 34398902
Trop Med Infect Dis. 2017 Aug 13;2(3):
pubmed: 30270895
Glob J Health Sci. 2013 Oct 27;6(1):107-14
pubmed: 24373270
ISRN Vet Sci. 2013 Dec 12;2013:468043
pubmed: 24416598
PLoS Negl Trop Dis. 2015 Apr 16;9(4):e0003709
pubmed: 25881058
Monogr Ser World Health Organ. 1973;(23):41-55
pubmed: 4219509
Prev Vet Med. 2014 Apr 1;114(1):11-20
pubmed: 24485277
Afr J Med Med Sci. 1977 Sep;6(3):133-40
pubmed: 97941
Clin Case Rep. 2019 Mar 06;7(4):749-752
pubmed: 30997078
Proc Natl Acad Sci U S A. 2009 Sep 1;106(35):14996-5001
pubmed: 19706492
Lancet Glob Health. 2018 Aug;6(8):e828-e829
pubmed: 29929890
Zoonoses Public Health. 2018 Feb;65(1):168-176
pubmed: 28782905
J Family Med Prim Care. 2020 Sep 30;9(9):4751-4755
pubmed: 33209795
Prev Vet Med. 2012 Nov 1;107(1-2):21-6
pubmed: 22673581
Rev Sci Tech. 2008 Aug;27(2):339-54
pubmed: 18819664
PLoS One. 2018 Aug 17;13(8):e0201305
pubmed: 30118490
Viruses. 2020 Jan 23;12(2):
pubmed: 31979379
J R Soc Interface. 2017 Apr;14(129):
pubmed: 28381641
Ups J Med Sci. 2012 Aug;117(3):279-83
pubmed: 22401135
Lancet. 2008 Nov 8;372(9650):1661-9
pubmed: 18994664

Auteurs

Philip P Mshelbwala (PP)

UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.
Department of Veterinary Medicine, Faculty of Veterinary Medicine, University of Abuja, Abuja, Nigeria.

J Scott Weese (JS)

Department of Pathobiology, Ontario Veterinary College, Guelph, Canada.

Nicholas J Clark (NJ)

UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.

Ishaya Tekki (I)

Rabies Laboratory, Infectious and Transboundary Animal Diseases Department, National Veterinary Research Institute, Vom, Nigeria.

Shovon Chakma (S)

UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.

David Shamaki (D)

Rabies Laboratory, Infectious and Transboundary Animal Diseases Department, National Veterinary Research Institute, Vom, Nigeria.

Abdullah A Mamun (AA)

Institute for of Social Science Research, the University of Queensland, Long Pocket, Australia.

Charles E Rupprecht (CE)

LYSSA LLC, Atlanta, GA, USA.

Ricardo J Soares Magalhães (RJ)

UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia.

Classifications MeSH