Evidence map›Paper›PMID 40403012›Full record

ArticlePloS one2025

Spatial patterns and clustering of dengue incidence in Mexico: Analysis of Moran's index across 2,471 municipalities from 2022 to 2024.

Oliver Mendoza-Cano, Rogelio Danis-Lozano, Xóchitl Trujillo, Miguel Huerta, Mónica Ríos-Silva, Agustin Lugo-Radillo, Jaime Alberto Bricio-Barrios, Verónica Benites-Godínez, Herguin Benjamin Cuevas-Arellano, Juan Manuel Uribe-Ramos and 7 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

17 authors.

Oliver Mendoza-CanoFacultad de Ingeniería Civil, Universidad de Colima, Coquimatlán, Colima, México.ORCID https://orcid.org/0000-0001-9614-4946
Rogelio Danis-LozanoCentro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública, Tapachula de Córdova y Ordóñez, Chiapas, México.
Xóchitl TrujilloCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima, Colima, México.ORCID https://orcid.org/0000-0001-8515-0777
Miguel HuertaCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima, Colima, México.
Mónica Ríos-SilvaFacultad de Medicina, Universidad de Colima, Colima, Colima, México.
Agustin Lugo-RadilloSECIHTI-Facultad de Medicina y Cirugía, Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca, México.
Jaime Alberto Bricio-BarriosFacultad de Medicina, Universidad de Colima, Colima, Colima, México.ORCID https://orcid.org/0000-0001-5667-5179
Verónica Benites-GodínezCoordinación de Educación en Salud, Jefatura de Servicios de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Tepic, Nayarit, México.
Herguin Benjamin Cuevas-ArellanoFacultad de Ciencias, Universidad de Colima, Colima, Colima, México.ORCID https://orcid.org/0009-0003-0788-4312
Juan Manuel Uribe-RamosFacultad de Ingeniería Civil, Universidad de Colima, Coquimatlán, Colima, México.
Ramón Solano-BarajasFacultad de Ingeniería Civil, Universidad de Colima, Coquimatlán, Colima, México.
Yolitzy CárdenasCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima, Colima, México.
Jesús Venegas-RamírezCoordinación Auxiliar Médica de Investigación en Salud, Jefatura de Servicios de Prestaciones Médicas, Instituto Mexicano del Seguro Social, Colima, Colima, México.
Eder Fernando Ríos-BracamontesDepartamento de Medicina Interna, Hospital General de Zona No. 1, Instituto Mexicano del Seguro Social, Villa de Álvarez, Colima, México.
Luis A García-SolórzanoTecnológico Nacional de México, Campus Colima, Villa de Álvarez, Colima, México.
Arlette A Camacho-delaCruzFacultad de Ingeniería Civil, Universidad de Colima, Coquimatlán, Colima, México.
Efrén Murillo-ZamoraFacultad de Medicina, Universidad de Colima, Colima, Colima, México.ORCID https://orcid.org/0000-0002-1118-498X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is an increasing public health challenge, with rising cases and expanding distribution. Its complex epidemiology is influenced by climate change, urbanization, and the circulation of multiple viral serotypes. This study aimed to characterize the spatial and temporal (2022-2024) patterns of dengue incidence across 2,471 municipalities in Mexico. Weekly case counts, obtained through the normative epidemiological surveillance system for vector-borne diseases, were used to calculate incidence rates per 100,000 population. Geographic Information Systems were employed to analyze spatial patterns, while Local Moran's I statistic and a k-nearest neighbors spatial weights matrix identified spatial clusters. A total of 622,689 dengue cases were analyzed, with incidence rates rising from 29.4 in 2022 to 279.0 per 100,000 in 2024. Dengue transmission expanded, affecting 38.0% of municipalities in 2022 and 68.6% by 2024 ([Formula: see text] < 0.001). Spatial clustering also increased, with positive clusters increasing from 28 municipalities in 2022-98 in both 2023 and 2024. Moran's I values indicated a peak in spatial autocorrelation in 2023 (I = 0.57). While DENV-2 was the predominant serotype in 2022, DENV-3 became dominant in 2023 and 2024. Over time, high-incidence areas shifted from southern and central regions to the southeast and Pacific coast. These findings suggest the growing burden of dengue in Mexico, driven by rising incidence, expanding geographic distribution, and evolving spatial patterns. A coordinated public health response is needed to mitigate the impact of dengue and prevent its spread to newly affected areas.

Indexed as

DengueCitiesCluster AnalysisDengue VirusGeographic Information SystemsHumansIncidenceMexicoSpatial Analysis

Identifiers

PMID40403012
PMCPMC12097634

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Registered trials

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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.