Danni Anderson , Maganga Sambo , Ahmed Lugelo , Anna Czupryna , Joel Changalucha , Jonathan M. Read , Felix Lankester , Katie Hampson
{"title":"Socioecological determinants of dog ownership in Mara region, Tanzania","authors":"Danni Anderson , Maganga Sambo , Ahmed Lugelo , Anna Czupryna , Joel Changalucha , Jonathan M. Read , Felix Lankester , Katie Hampson","doi":"10.1016/j.prevetmed.2025.106756","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding domestic dog population dynamics is critical for rabies control, particularly in sub-Saharan Africa where domestic dogs are the primary virus reservoir. This study investigates demographic and environmental determinants of dog ownership in Tanzania’s Mara region, a rabies-endemic area with ecologically diverse landscapes. Using a cross-sectional household survey (n = 27,400 households), we employed mixed-effects models to assess predictors of dog ownership, dog counts, and Human-to-Dog Ratios (HDRs). Overall, 12,975 households (47 %) owned dogs, with a mean of 2.2 dogs per dog-owning household. Logistic regression revealed key predictors of ownership: urban households had reduced odds of dog ownership (OR = 0.311, CI: 0.132–0.734, while ownership likelihood increased with larger household size (adults: OR = 1.151, CI: 1.134–1.169; children: OR = 1.160, CI: 1.140–1.180), and crop (OR = 1.502, 95 % CI: 1.384–1.630), shrub (OR = 1.387, 95 % CI: 1.269–1.515), or tree land cover (OR = 1.708, 95 % CI: 1.260–2.314) compared to built areas. However, among dog-owning households, variables had minimal practical impact on dog counts with most households (85.6 %) owning 1–3 dogs regardless of household size, location, or land cover. Urban districts exhibited significantly higher HDRs (18.3:1 vs. rural 7.1:1), further influenced by land cover (tree: 5.1:1 vs. built: 8.7:1). These findings highlight a critical divergence: while contextual factors strongly predict dog ownership, they do not meaningfully influence the number of dogs owned. Consequently, effective vaccination programmes require strategies tailored to local dog density and ownership patterns.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"247 ","pages":"Article 106756"},"PeriodicalIF":2.8000,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventive veterinary medicine","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167587725003411","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding domestic dog population dynamics is critical for rabies control, particularly in sub-Saharan Africa where domestic dogs are the primary virus reservoir. This study investigates demographic and environmental determinants of dog ownership in Tanzania’s Mara region, a rabies-endemic area with ecologically diverse landscapes. Using a cross-sectional household survey (n = 27,400 households), we employed mixed-effects models to assess predictors of dog ownership, dog counts, and Human-to-Dog Ratios (HDRs). Overall, 12,975 households (47 %) owned dogs, with a mean of 2.2 dogs per dog-owning household. Logistic regression revealed key predictors of ownership: urban households had reduced odds of dog ownership (OR = 0.311, CI: 0.132–0.734, while ownership likelihood increased with larger household size (adults: OR = 1.151, CI: 1.134–1.169; children: OR = 1.160, CI: 1.140–1.180), and crop (OR = 1.502, 95 % CI: 1.384–1.630), shrub (OR = 1.387, 95 % CI: 1.269–1.515), or tree land cover (OR = 1.708, 95 % CI: 1.260–2.314) compared to built areas. However, among dog-owning households, variables had minimal practical impact on dog counts with most households (85.6 %) owning 1–3 dogs regardless of household size, location, or land cover. Urban districts exhibited significantly higher HDRs (18.3:1 vs. rural 7.1:1), further influenced by land cover (tree: 5.1:1 vs. built: 8.7:1). These findings highlight a critical divergence: while contextual factors strongly predict dog ownership, they do not meaningfully influence the number of dogs owned. Consequently, effective vaccination programmes require strategies tailored to local dog density and ownership patterns.
期刊介绍:
Preventive Veterinary Medicine is one of the leading international resources for scientific reports on animal health programs and preventive veterinary medicine. The journal follows the guidelines for standardizing and strengthening the reporting of biomedical research which are available from the CONSORT, MOOSE, PRISMA, REFLECT, STARD, and STROBE statements. The journal focuses on:
Epidemiology of health events relevant to domestic and wild animals;
Economic impacts of epidemic and endemic animal and zoonotic diseases;
Latest methods and approaches in veterinary epidemiology;
Disease and infection control or eradication measures;
The "One Health" concept and the relationships between veterinary medicine, human health, animal-production systems, and the environment;
Development of new techniques in surveillance systems and diagnosis;
Evaluation and control of diseases in animal populations.