Evidence map›Paper›PMID 41647864›Full record

ArticleThe journal of climate change and health

Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022).

Wil Laura, Patricia Rivera, Cristina Davila, Pierre Velasquez, Susan Mateo, Carmen Yon, Betsabet Valderrama, Tania Ita Vargas

Abstract read
In one paragraph

Article in The journal of climate change and health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

Wil LauraDirección de meteorología y evaluación ambiental atmosférica, Servicio Nacional de Meteorología e Hidrología. Lima, Perú.
Patricia RiveraDirección de meteorología y evaluación ambiental atmosférica, Servicio Nacional de Meteorología e Hidrología. Lima, Perú.
Cristina DavilaUniversidade de São Paulo. São Paulo, Brasil.
Pierre VelasquezCentro Nacional de Epidemiología, Prevención y Control de Enfermedades - CDC Perú. Lima, Perú.
Susan MateoCentro Nacional de Epidemiología, Prevención y Control de Enfermedades - CDC Perú. Lima, Perú.
Carmen YonCentro Nacional de Epidemiología, Prevención y Control de Enfermedades - CDC Perú. Lima, Perú.
Betsabet ValderramaCentro Nacional de Epidemiología, Prevención y Control de Enfermedades - CDC Perú. Lima, Perú.
Tania Ita VargasDirección de meteorología y evaluación ambiental atmosférica, Servicio Nacional de Meteorología e Hidrología. Lima, Perú.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dengue fever has experienced a global rise in incidence and distribution, largely influenced by climate variability. Nonetheless, the specific climatic thresholds that trigger elevated dengue incidence rates, and the time lag between weather conditions and the case surges remain uncertain. Methods: Average weekly climate variables along with weekly dengue incidence rates from 2001 and 2022 were analyzed in districts grouped by its climate zone. A cross-correlation technique was used to determine the time lag between climatic variables and dengue incidence, while a fine-tuned regression tree model was utilized to identify climatic thresholds linked to the incidence of dengue surges. Results: Our findings indicate that specific combinations of climatic thresholds within each climate zone are associated with increased dengue incidence rate over a 20-week window, with air temperature having a frequent role. The North Coast had the highest average dengue incidence, with rates surging sevenfold when climatic thresholds were met (56 cases per 100,000 inhabitants). The Central Coast and North-High Rainforest zones experienced the most significant increases, with incidence rates rising 53-fold from baseline levels (0.13 cases and 2.4 cases per 100,000, respectively). Conclusions: This study identified distinct climatic thresholds that were met within a 20-week window preceding elevated dengue incidence rates in the six climate zones with the highest dengue prevalence in Peru. These insights enable dengue incidence rates forecasting weeks in advance using climatic data, offering a valuable tool for dengue mitigation and early intervention.

Indexed as

Climate zonesClimatic thresholdsCross-correlationDengue incidenceTree regression

Identifiers

PMID41647864
PMCPMC12851297

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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.