Evidence map›Paper›PMID 31747889›Full record

ArticleBMC infectious diseases2019

Development of a high number, high coverage dog rabies vaccination programme in Sri Lanka.

Carlos Sánchez-Soriano, Andrew D Gibson, Luke Gamble, Jordana L Burdon Bailey, Samantha Green, Mark Green, Barend M deC Bronsvoort, Ian G Handel, Richard J Mellanby, Stella Mazeri

Abstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Enhancing Mass Vaccination Programs with Queueing Theory and Spatial Optimization.medRxiv : the preprint server for health sciences · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Using data-driven approaches to improve delivery of animal health care interventions for public health.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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.

Carlos Sánchez-SorianoThe Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Veterinary Centre, Roslin, Midlothian, EH25 9RG, UK. C.Sanchez-Soriano@ed.ac.uk.ORCID http://orcid.org/0000-0002-3828-9028
Andrew D GibsonThe Roslin Institute, Division of Genetics and Genomics, Easter Bush Veterinary Centre, Roslin, Midlothian, UK.
Luke GambleMission Rabies, Cranborne, Dorset, UK.
Jordana L Burdon BaileyMission Rabies, Cranborne, Dorset, UK.
Samantha GreenDogstar Foundation, Negombo, Western Province, Sri Lanka.
Mark GreenDogstar Foundation, Negombo, Western Province, Sri Lanka.
Barend M deC BronsvoortThe Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Veterinary Centre, Roslin, Midlothian, EH25 9RG, UK.
Ian G HandelThe Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Veterinary Centre, Roslin, Midlothian, EH25 9RG, UK.
Richard J MellanbyThe Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Veterinary Centre, Roslin, Midlothian, EH25 9RG, UK.
Stella MazeriThe Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Easter Bush Veterinary Centre, Roslin, Midlothian, EH25 9RG, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/J004235/1Biotechnology and Biological Sciences Research Council BB/P013740/1
6 · The paper itself

Abstract

backgroundRabies is estimated to cause 59,000 deaths and economic losses of US$8.6 billion every year. Despite several years of rabies surveillance and awareness programmes, increased availability of post-exposure prophylaxis vaccinations and dog population control, the disease still remains prevalent in Sri Lanka. This study reports the roll-out of a high number, high coverage canine rabies vaccination campaign in Sri Lanka, providing estimates for the vaccination coverage achieved, analysing the local dog demographics, and identifying barriers of attendance to static vaccination clinics.

methodsA mass dog vaccination campaign was undertaken in Negombo, Sri Lanka. The campaign was composed of static point and door-to-door vaccination stages, with a final survey of vaccination coverage. A large volume of data on the distribution, health, and signalment of vaccinated dogs was collected through a mobile phone application. A logistic regression model was developed to investigate which socio-spatial and dog-related factors influenced attendance of owners to static vaccination points.

resultsThe campaign vaccinated over 7800 dogs achieving a vaccination coverage of 75.8%. A dog:human ratio of 1:17 was estimated. Most dogs were owned, and the dog population was mostly male, adult, and non-sterilized. Unawareness, unavailability and handling problems were the most common reasons given by owners to explain failure to attend a static vaccination point. The regression analysis showed that increasing distance to a static point, in addition to young age and poor health of the dog, were associated with a decrease in the likelihood of attendance to a static vaccination points.

conclusionThis study demonstrates the feasibility of high number, high coverage vaccination campaigns in Sri Lanka. The information on dog ecology and barriers of attendance to static point vaccination clinics will facilitate development of future vaccination campaigns.

Indexed as

AnimalsCell PhoneDog DiseasesDogsFemaleHumansImmunization ProgramsLogistic ModelsMaleRabiesRabies VaccinesSri LankaSurveys and QuestionnairesVaccination CoverageRabies VaccinesCoverageDogsMobile phone applicationRabiesSri LankaVaccination

Identifiers

PMID31747889
PMCPMC6868729

What OpenQuestion holds

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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.