Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model

Raquel Elizabeth Gómez Gómez, Jeehyun Kim, Kwan Hong, Jin Young Jang, Trishna Kisiju, Soojin Kim and Byung Chul Chun ()
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Raquel Elizabeth Gómez Gómez: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Jeehyun Kim: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Kwan Hong: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Jin Young Jang: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Trishna Kisiju: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Soojin Kim: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Byung Chul Chun: Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea

IJERPH, 2022, vol. 19, issue 19, 1-10

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.

Keywords: generalized additive model; dengue fever; climate factors; Asuncion; Paraguay (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:19:p:12192-:d:925545

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