ArticleInternational journal of environmental research and public health2022
Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Dengue fever prediction based on meteorological features and deep learning models.Infectious Disease Modelling · 2026Article
- Modeling the impact of the El Niño-Southern Oscillation on the dynamics of dengue outbreaks in Argentina between 2018 and 2024.Frontiers in public health · 2026Article
- Assessing the influencing factors of dengue fever in Chinese mainland based on causal analysis.Scientific reports · 2025Article
- Spatiotemporal dataset of dengue influencing factors in Brazil based on geospatial big data cloud computing.Scientific data · 2025Article
- Risk factors for metabolic syndrome in the premetabolic state assessed using hierarchical clustering study in a health screening group.Scientific reports · 2024Article
- Influence of the Nitrogen Fertilization on the Yield, Biometric Characteristics and Chemical Composition ofMolecules (Basel, Switzerland) · 2024Article
- Determining the relationship between dengue and vulnerability in a Brazilian city: a spatial modeling analysis.Pathogens and global health · 2024Article
- Socioeconomic and environmental factors associated with dengue fever incidence in Guatemala: Rising temperatures increase dengue risk.PloS one · 2024Article
- Article
- Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern.International journal of environmental research and public health · 2023Article
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7 authors.
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Abstract
Dengue fever has been endemic in Paraguay since 2009 and is a major cause of public-health-management-related burdens. However, Paraguay still lacks information on the association between climate factors and dengue fever. We aimed to investigate the association between climatic factors and dengue fever in Asuncion. Cumulative dengue cases from January 2014 to December 2020 were extracted weekly, and new cases and incidence rates of dengue fever were calculated. Climate factor data were aggregated weekly, associations between dengue cases and climate factors were analyzed, and variables were selected to construct our model. A generalized additive model was used, and the best model was selected based on Akaike information criteria. Piecewise regression analyses were performed for non-linear climate factors. Wind and relative humidity were negatively associated with dengue cases, and minimum temperature was positively associated with dengue cases when the temperature was less than 21.3 °C and negatively associated with dengue when greater than 21.3 °C. Additional studies on dengue fever in Asuncion and other cities are needed to better understand dengue fever.
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