Evidence map›Paper›PMID 28767730›Full record

ArticlePloS one2017

Community context and sub-neighborhood scale detail to explain dengue, chikungunya and Zika patterns in Cali, Colombia.

Amy R Krystosik, Andrew Curtis, Paola Buritica, Jayakrishnan Ajayakumar, Robert Squires, Diana Dávalos, Robinson Pacheco, Madhav P Bhatta, Mark A James

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. VisualCommunity: a platform for archiving and studying communities.Journal of computational social science · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Spatio-Temporal Modeling of Zika and Dengue Infections within Colombia.International journal of environmental research and public health · 2018
    Article
  16. Cali cancer registry methods.Colombia medica (Cali, Colombia) · 2018
    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.

Amy R KrystosikDepartment of Biostatistics, Environmental Health Sciences, and Epidemiology, College of Public Health, Kent State University, Kent, OH, United States of America.ORCID http://orcid.org/0000-0001-7944-8876
Andrew CurtisHealth & Hazards Lab, Department of Geography, Kent State University, Kent, OH, United States of America.
Paola BuriticaGrupo de Investigación en Epidemiología y Servicios (GRIEPIS), Universidad Libre, Cali, Colombia.
Jayakrishnan AjayakumarHealth & Hazards Lab, Department of Geography, Kent State University, Kent, OH, United States of America.
Robert SquiresHealth & Hazards Lab, Department of Geography, Kent State University, Kent, OH, United States of America.
Diana DávalosDepartment of Public Health and Community Medicine, Universidad ICESI, Cali, Valle del Cauca, Colombia.
Robinson PachecoGrupo de Investigación en Epidemiología y Servicios (GRIEPIS), Universidad Libre, Cali, Colombia.
Madhav P BhattaDepartment of Biostatistics, Environmental Health Sciences, and Epidemiology, College of Public Health, Kent State University, Kent, OH, United States of America.
Mark A JamesDepartment of Biostatistics, Environmental Health Sciences, and Epidemiology, College of Public Health, Kent State University, Kent, OH, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCali, Colombia has experienced chikungunya and Zika outbreaks and hypoendemic dengue. Studies have explained Cali's dengue patterns but lack the sub-neighborhood-scale detail investigated here.

methodsSpatial-video geonarratives (SVG) with Ministry of Health officials and Community Health Workers were collected in hotspots, providing perspective on perceptions of why dengue, chikungunya and Zika hotspots exist, impediments to control, and social outcomes. Using spatial video and Google Street View, sub-neighborhood features possibly contributing to incidence were mapped to create risk surfaces, later compared with dengue, chikungunya and Zika case data.

resultsSVG captured insights in 24 neighborhoods. Trash and water risks in Calipso were mapped using SVG results. Perceived risk factors included proximity to standing water, canals, poverty, invasions, localized violence and military migration. These risks overlapped case density maps and identified areas that are suitable for transmission but are possibly underreporting to the surveillance system.

conclusionResulting risk maps with local context could be leveraged to increase vector-control efficiency- targeting key areas of environmental risk.

Indexed as

AdolescentAdultChikungunya FeverChildChild, PreschoolColombiaDengueDisease OutbreaksFemaleGeographic Information SystemsHumansIncidenceInfantInfant, NewbornMaleMiddle Aged

Identifiers

PMID28767730
PMCPMC5540594

What OpenQuestion holds

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LicenceCC BY
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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.