Evidence map›Paper›PMID 30118490›Full record

ArticlePloS one2018

Spatiotemporal analysis of canine rabies in El Salvador: Violence and poverty as social factors of canine rabies.

Patricia Arias-Orozco, Fernando Bástida-González, Lilian Cruz, Jacqueline Villatoro, Eduardo Espinoza, Paola Berenice Zárate-Segura, Sergio Recuenco

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 37% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Rabies in the Tropics.Current tropical medicine reports · 2022
    Review
  12. Review
  13. Article
  14. Slums, Space, and State of Health-A Link between Settlement Morphology and Health Data.International journal of environmental research and public health · 2020
    Article
  15. 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

7 authors at 3 institutions in 2 countries.

Patricia Arias-OrozcoLaboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, St. Salvador Díaz Mirón Esquina Plan de San Luis, Santo Tomas, Miguel Hidalgo, México.ORCID 0000-0002-0771-6373
Fernando Bástida-GonzálezLaboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, St. Salvador Díaz Mirón Esquina Plan de San Luis, Santo Tomas, Miguel Hidalgo, México.ORCID 0000-0002-1670-5879
Lilian CruzUnidad de Zoonosis, Laboratorio Nacional de Referencia, Ministerio de Salud, San Salvador, El Salvador.
Jacqueline VillatoroUnidad de Zoonosis, Laboratorio Nacional de Referencia, Ministerio de Salud, San Salvador, El Salvador.ORCID 0000-0002-2142-6225
Eduardo EspinozaMinisterio de Salud de El Salvador, San Salvador, El Salvador.
Paola Berenice Zárate-SeguraLaboratorio de Medicina Traslacional, Escuela Superior de Medicina, Instituto Politécnico Nacional, St. Salvador Díaz Mirón Esquina Plan de San Luis, Santo Tomas, Miguel Hidalgo, México.
Sergio RecuencoCentro Nacional de Salud Pública, INS, Lima, Perú.
Ministerio de Salud · SVInstituto Politécnico Nacional · MXInstituto de Salud del Estado de México · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of canine rabies cases in El Salvador has decreased in the last decade since the establishment of intense control programs, such as massive vaccination campaigns implemented by the Ministry of Health. Socioeconomic crises in recent years have limited the access to certain areas across the country and have impacted surveillance and prevention campaigns, which places the country at risk for a resurgence of canine rabies.We aimedto describe the spatiotemporal patterns of canine rabies and its association with critical social factors in El Salvador from 2005 to 2014.

methodWe included 459 cases of canine rabies. Several socioeconomic, demographic, and surveillance variables were modeled using a Poisson regression to evaluate their associations with the incidence of canine rabies. Spatial scan statistics were adjusted or unadjusted with covariates and applied to identify statistically significant clusters of canine rabies. Finally, a canine rabies risk map was created.

resultsA positive association and higher risk of canine rabies were found for low poverty zones, where it is suspected that urban slums contribute to ongoing rabies transmission (RR = 7.74). Violence had a negative association with rabies (RR = 0.663), which is likely due to reporting bias. Significant clusters were identified in all five epidemiological regions, and the Eastern region had the highest risk (RR = 50.62). The influences of the selected variables in cluster detection were confirmed by the adjusted analysis. Higher-risk townships were distributed from the Western to the Eastern regions of the country.

conclusionSocial factors are determinants of rabies in El Salvador and play a major role in national spatial patterns of the disease. There are high-risk areas for canine rabies across the country, and there were two persistent rabies foci during the study period. Examining the role of social factors can provide better insight into rabies in vulnerable countries, and socioeconomic factors can be key elements in developing better policies and interventions for rabies control.

Indexed as

PovertyViolenceAnimalsDog DiseasesDogsEl SalvadorHumansIncidenceRabies

Identifiers

PMID30118490
PMCPMC6097665
OpenAlexW2887634219

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.