Evidence map›Paper›PMID 30926741›Full record

ArticleGlobal health, science and practice2019

VECTOS: An Integrated System for Monitoring Risk Factors Associated With Urban Arbovirus Transmission.

Clara B Ocampo, Neila J Mina, Maria I Echavarria, Miguel Acuña, Alexi Caballero, Andres Navarro, Andres Aguirre, Ingrid S Criollo, Francia Forero, Oscar Azuero and 1 more

Abstract read
In one paragraph

Article in Global health, science and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

11 authors.

Clara B OcampoCentro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Santiago de Cali, Colombia. claraocampo@cideim.org.co.
Neila J MinaCentro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Santiago de Cali, Colombia.
Maria I EchavarriaCentro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Santiago de Cali, Colombia.
Miguel AcuñaCorporación para la investigación de la Corrosión (CIC), Piedecuesta Santander, Colombia.
Alexi CaballeroCorporación para la investigación de la Corrosión (CIC), Piedecuesta Santander, Colombia.
Andres NavarroUniversidad ICESI, Santiago de Cali, Colombia.
Andres AguirreUniversidad ICESI, Santiago de Cali, Colombia.
Ingrid S CriolloMunicipal Secretariat of Health from Yopal, Yopal Colombia.
Francia ForeroMunicipal Secretariat of Health form Giron, Giron, Colombia.
Oscar AzueroMunicipal Secretariat of Health from Buga, Buga, Colombia.
Neal D AlexanderCentro Internacional de Entrenamiento e Investigaciones Médicas (CIDEIM), Santiago de Cali, Colombia.

Funding

Vector/Host-Parasite Interface of Leishmaniasis in ColombiaD43TW006589 · FIC · YALE UNIVERSITY · PI GORE SARAVIA, NANCY, TSCHUDI, CHRISTIAN · 2003 to 2024
$4.3M
FIC NIH HHS D43 TW006589Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

In Colombia, as in many Latin American countries, decision making and development of effective strategies for vector control of urban diseases such as dengue, Zika, and chikungunya is challenging for local health authorities. The heterogeneity of transmission in urban areas requires an efficient risk-based allocation of resources to control measures. With the objective of strengthening the capacity of local surveillance systems to identify variables that favor urban arboviral transmission, a multidisciplinary research team collaborated with the local Secretary of Health officials of 3 municipalities in Colombia (Giron, Yopal, and Buga), in the design of an integrated information system called VECTOS from 2015 to 2018. Information and communication technologies were used to develop 2 mobile applications to capture entomological and social information, as well as a web-based system for the collection, geo-referencing, and integrated information analysis using free geospatial software. This system facilitates the capture and analysis of epidemiological information from the Colombian national surveillance system (SIVIGILA), periodic entomological surveys-mosquito larvae and pupae in premises and peridomestic breeding sites-and surveys of knowledge, attitudes, and practices (KAP) in a spatial and temporal context at the neighborhood level. The data collected in VECTOS are mapped and visualized in graphical reports. The system enables real-time monitoring of weekly epidemiological indicators, entomological indices, and social surveys. Additionally, the system enables risk stratification of neighborhoods, using selected epidemiological, entomological, demographic, and environmental variables. This article describes the VECTOS system and the lessons learned during its development and use. The joint analysis of epidemiological and entomological data within a geographic information system in VECTOS gives better insight to the routinely collected data and identifies the heterogeneity of risk factors between neighborhoods. We expect the system to continue to strengthen vector control programs in evidence-based decision making and in the design and enhanced follow-up of vector control strategies.

Indexed as

Decision MakingInformation SystemsMobile ApplicationsMosquito ControlTechnologyUrban PopulationArbovirusesArbovirus InfectionsChikungunya FeverCitiesColombiaData AnalysisData CollectionDengueEnvironmental MonitoringGeographic Information Systems

Identifiers

PMID30926741
PMCPMC6538132

What OpenQuestion holds

Textmetadata
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.