Author
Listed:
- Raquel Elizabeth Gómez Gómez
(Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Graduate School of Public Health, Korea University, Seoul 02841, Korea)
- Jeehyun Kim
(Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, 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
Graduate School of Public Health, Korea University, Seoul 02841, Korea)
- Soojin Kim
(Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul 02841, Korea)
- Byung Chul Chun
(Department of Preventive Medicine, College of Medicine, Korea University, Seoul 02841, Korea
Graduate School of Public Health, Korea University, Seoul 02841, Korea
Transdisciplinary Major in Learning Health Systems, Department of Healthcare Sciences, Graduate School, Korea University, Seoul 02841, Korea)
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.
Suggested Citation
Raquel Elizabeth Gómez Gómez & Jeehyun Kim & Kwan Hong & Jin Young Jang & Trishna Kisiju & Soojin Kim & Byung Chul Chun, 2022.
"Association between Climate Factors and Dengue Fever in Asuncion, Paraguay: A Generalized Additive Model,"
IJERPH, MDPI, vol. 19(19), pages 1-10, September.
Handle:
RePEc:gam:jijerp:v:19:y:2022:i:19:p:12192-:d:925545
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Citations
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Cited by:
- Md. Aminul Islam & Mohammad Nayeem Hasan & Ananda Tiwari & Md. Abdul Wahid Raju & Fateha Jannat & Sarawut Sangkham & Mahaad Issa Shammas & Prabhakar Sharma & Prosun Bhattacharya & Manish Kumar, 2023.
"Correlation of Dengue and Meteorological Factors in Bangladesh: A Public Health Concern,"
IJERPH, MDPI, vol. 20(6), pages 1-15, March.
- Adivânia Cardoso da Silva & Paulo Sérgio Scalize, 2023.
"Environmental Variables Related to Aedes aegypti Breeding Spots and the Occurrence of Arbovirus Diseases,"
Sustainability, MDPI, vol. 15(10), pages 1-21, May.
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