Evidence map›Paper›PMID 37729119›Full record

ArticlePLOS global public health2023

Early warning and response system for dengue outbreaks: Moving from research to operational implementation in Mexico.

Gustavo Sanchez Tejeda, David Benitez Valladares, Fabian Correa Morales, Jacqueline Toledo Cisneros, Brisia E Espinoza Tamarindo, Laith Hussain-Alkhateeb, Corinne S Merle, Axel Kroeger

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Forecasting and Early Warning Systems for Dengue Outbreaks: Updated Narrative Review.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Review
  6. Horizons of the Future: Preparedness and Response.Current topics in microbiology and immunology · 2026
    Review
  7. Article
  8. Article
  9. Proceedings of the 7Vaccines · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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

8 authors at 4 institutions in 5 countries.

Gustavo Sanchez TejedaFormerly CENAPRECE (Centro Nacional de Programas Preventivos y Control de Enfermedades), Secretaria de Salud, México City, México.ORCID https://orcid.org/0000-0002-3728-8867
David Benitez ValladaresFormerly CENAPRECE (Centro Nacional de Programas Preventivos y Control de Enfermedades), Secretaria de Salud, México City, México.
Fabian Correa MoralesCENAPRECE, Secretaria de Salud, México City, México.ORCID https://orcid.org/0000-0002-6193-1242
Jacqueline Toledo CisnerosCENAPRECE, Secretaria de Salud, México City, México.
Brisia E Espinoza TamarindoCENAPRECE, Secretaria de Salud, México City, México.
Laith Hussain-AlkhateebGlobal Health Research Group, School of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID https://orcid.org/0000-0001-9607-110X
Corinne S MerleSpecial Program for Research and Training in Tropical Diseases (TDR-WHO), World Health Organization, Geneva, Switzerland.
Axel KroegerCentre for Medicine, and Society (ZMG), Freiburg University, Freiburg, Germany.
Secretaria de Salud · MXKing Abdullah International Medical Research Center · SAUniversity of Freiburg · DEWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

Dengue disease epidemics have increased in time and space due to climatic and non-climatic factors such as urbanization. In the absence of an effective vaccine, preventing dengue outbreak relies on vector control activities. Employing computerized tools to predict outbreaks and respond in advance has great potential for improving dengue disease control. Evidence of integrating or implementing such applications into control programs and their impact are scarce, and endemic countries demand for experience sharing and know-how transfer. Mexico has extensive experience of pre-validated EWARS (Early Warning And Response System), a tool that was developed in 2012 as part of a collaboration with the Special Program for Research and Training in Tropical Diseases Unit (TDR) at the World Health Organization and used at national level. The advancement of EWARS since 2014 and its stepwise integration into the national surveillance system has increased the appreciation of the need for integrated surveillance (including disease, vector and climate surveillance), and for linking inter-institutional and trans-sectoral information for holistic epidemiological intelligence. The integration of the EWARS software into the national surveillance platform in Mexico was a remarkable milestone and a successful experience. This manuscript describes the implementation process of EWARS in Mexico, which started in 2012 and further demonstrates benefits, threats, and opportunities of integrating EWARS into existing national surveillance programs.

Identifiers

PMID37729119
PMCPMC10511095
OpenAlexW4386884373

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.