Evidence map›Paper›PMID 30205470›Full record

ArticleVeterinary sciences2018

Estimating the Size of Dog Populations in Tanzania to Inform Rabies Control.

Maganga Sambo, Katie Hampson, Joel Changalucha, Sarah Cleaveland, Tiziana Lembo, Kennedy Lushasi, Eberhard Mbunda, Zacharia Mtema, Lwitiko Sikana, Paul C D Johnson

Abstract read
In one paragraph

Article in Veterinary sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–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

29 citing papers in PubMed.

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  20. The one health landscape in Sub-Saharan African countries.One health (Amsterdam, Netherlands) · 2021
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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

10 authors.

Maganga SamboIfakara Health Institute, P.O. Box 53, Ifakara, Tanzania. smaganga@ihi.or.tz.ORCID 0000-0002-7350-1143
Katie HampsonBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK. Katie.Hampson@glasgow.ac.uk.
Joel ChangaluchaIfakara Health Institute, P.O. Box 53, Ifakara, Tanzania. jchangalucha@ihi.or.tz.ORCID 0000-0003-0758-2480
Sarah CleavelandBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK. Sarah.Cleaveland@glasgow.ac.uk.
Tiziana LemboBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK. Tiziana.Lembo@glasgow.ac.uk.
Kennedy LushasiIfakara Health Institute, P.O. Box 53, Ifakara, Tanzania. klushasi@ihi.or.tz.
Eberhard MbundaDepartment of Epidemiology, Ministry of Livestock and Fisheries, P.O. Box 2870, Dodoma, Tanzania.
Zacharia MtemaIfakara Health Institute, P.O. Box 53, Ifakara, Tanzania. zmtema@ihi.or.tz.
Lwitiko SikanaIfakara Health Institute, P.O. Box 53, Ifakara, Tanzania. lwsikana@ihi.or.tz.
Paul C D JohnsonBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow G12 8QQ, UK. Paul.Johnson@glasgow.ac.uk.ORCID 0000-0001-6663-7520

Funding

Bill and Melinda Gates Foundation 095787/Z/11/ZUBS Optimus Foundation NOWellcome Trust 207569/Z/17/Z
6 · The paper itself

Abstract

Estimates of dog population sizes are a prerequisite for delivering effective canine rabies control. However, dog population sizes are generally unknown in most rabies-endemic areas. Several approaches have been used to estimate dog populations but without rigorous evaluation. We compare post-vaccination transects, household surveys, and school-based surveys to determine which most precisely estimates dog population sizes. These methods were implemented across 28 districts in southeast Tanzania, in conjunction with mass dog vaccinations, covering a range of settings, livelihoods, and religious backgrounds. Transects were the most precise method, revealing highly variable patterns of dog ownership, with human/dog ratios ranging from 12.4:1 to 181.3:1 across districts. Both household and school-based surveys generated imprecise and, sometimes, inaccurate estimates, due to small sample sizes in relation to the heterogeneity in patterns of dog ownership. Transect data were subsequently used to develop a predictive model for estimating dog populations in districts lacking transect data. We predicted a dog population of 2,316,000 (95% CI 1,573,000⁻3,122,000) in Tanzania and an average human/dog ratio of 20.7:1. Our modelling approach has the potential to be applied to predicting dog population sizes in other areas where mass dog vaccinations are planned, given census and livelihood data. Furthermore, we recommend post-vaccination transects as a rapid and effective method to refine dog population estimates across large geographic areas and to guide dog vaccination programmes in settings with mostly free roaming dog populations.

Indexed as

dog-mediated rabiesdog ownershipmass dog vaccinationtransects

Identifiers

PMID30205470
PMCPMC6164483

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.