Evidence map›Paper›PMID 31975401›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2020

Spatial distribution of the relative risk of Zika virus disease in Colombia during the 2015-2016 epidemic from a Bayesian approach.

Karen Flórez-Lozano, Edgar Navarro-Lechuga, Humberto Llinás-Solano, Rafael Tuesca-Molina, Augusto Sisa-Camargo, Marcela Mercado-Reyes, Martha Ospina-Martínez, Franklyn Prieto-Alvarado, Jorge Acosta-Reyes

Abstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. 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

9 authors.

Karen Flórez-LozanoDepartment of Mathematics and Statistics, Universidad del Norte, Barranquilla, Colombia.
Edgar Navarro-LechugaDepartment of Public Health, Universidad del Norte, Barranquilla, Colombia.
Humberto Llinás-SolanoDepartment of Mathematics and Statistics, Universidad del Norte, Barranquilla, Colombia.
Rafael Tuesca-MolinaDepartment of Public Health, Universidad del Norte, Barranquilla, Colombia.
Augusto Sisa-CamargoDepartment of Civil and Environmental Engineering, Universidad del Norte, Barranquilla, Colombia.
Marcela Mercado-ReyesDepartment of Public Health Research, National Institute of Health, Bogotá, Colombia.
Martha Ospina-MartínezDepartment of Public Health Research, National Institute of Health, Bogotá, Colombia.
Franklyn Prieto-AlvaradoDepartment of Public Health Research, National Institute of Health, Bogotá, Colombia.
Jorge Acosta-ReyesDepartment of Public Health, Universidad del Norte, Barranquilla, Colombia.

Funding

HRPTDRWHO
6 · The paper itself

Abstract

objectiveTo determine the spatial distribution of the risk of Zika virus disease in each region of Colombia during the 2015-2016 epidemic.

methodsAn ecological study was designed to estimate the risks for each Colombian region using first-order neighbors, covariate effects, and three adjacent periods of time (beginning, development, and end of the epidemic) to analyze the spatial distribution of the disease based on a Bayesian hierarchical model.

resultsSpatial distribution of the estimated risks of Zika virus disease showed that it increased in a strip that crosses the central area of the country from west to east. Analysis of the three time periods showed greater risk of the disease in the central and southern zones-Arauca and Santander-where the increase in risk was four times higher during the peak phase compared with the initial phase of the outbreak.

conclusionIn the identified high-risk areas, integrated surveillance systems for Zika virus disease and its complications must be strengthened to provide up-to-date and accurate epidemiological information. This information would allow those involved in policy and decision making to identify new outbreaks and risk clusters, enabling more focused and accurate measures to target at-risk populations.

Indexed as

Risk AssessmentBayes TheoremColombiaEpidemicsFemaleHumansMaleRisk FactorsSpatial AnalysisZika Virus InfectionBayes theoremColombiaSpatial analysisTemporal AnalysisZika virus

Identifiers

PMID31975401
PMCPMC7065154

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.