ArticleTropical medicine and infectious disease2022
Temporal Variations and Spatial Clusters of Dengue in Thailand: Longitudinal Study before and during the Coronavirus Disease (COVID-19) Pandemic.
Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- Association of Climatic Factors with Frequency of Dengue.Infectious disease reports · 2026Article
- Article
- Challenges and responses of malaria elimination in a high-endemic area along the Thai-Myanmar border: A health systems perspective.PLOS global public health · 2026Article
- Climate, inter-serotype competition and arboviral interactions shape dengue dynamics in Thailand.Communications biology · 2025Article
- Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19.PLoS neglected tropical diseases · 2025Article
- Seasonal and Meteorological Drivers of Hand, Foot, and Mouth Disease Outbreaks Using Data-Driven Machine Learning Models.Tropical medicine and infectious disease · 2025Article
- ClusterRadar: An interactive web-tool for the multi-method exploration of spatial clusters over time.PloS one · 2025Article
- Rapid human movement and dengue transmission in Bangladesh: a spatial and temporal analysis based on different policy measures of COVID-19 pandemic and Eid festival.Infectious diseases of poverty · 2024Article
- Bayesian spatio-temporal analysis of dengue transmission in Lao PDR.Scientific reports · 2024Article
- The macroeconomic impact of a dengue outbreak: Case studies from Thailand and Brazil.PLoS neglected tropical diseases · 2024Article
- Enrollment of dengue patients in a prospective cohort study in Umphang District, Thailand, during the COVID-19 pandemic: Implications for research and policy.Health science reports · 2023Article
- Geospatial Health (GeoHealth): Current Trends, Methods, and Applications.Tropical medicine and infectious disease · 2023Article
- Review
- Global transmission suitability maps for dengue virus transmitted by Aedes aegypti from 1981 to 2019.Scientific data · 2023Article
- Trends in ELISA-Based Flavivirus IgG Serosurveys: A Systematic Review.Tropical medicine and infectious disease · 2023Review
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Abstract
The efforts towards effective control of the COVID-19 pandemic may affect the incidence of dengue. This study aimed to investigate temporal variations and spatial clusters of dengue in Thailand before and during the COVID-19 pandemic. Reported dengue cases before (2011-2019) and during (2020-2021) the COVID-19 pandemic were obtained from the national disease surveillance datasets. The temporal variations were analyzed using graphics, a seasonal trend decomposition procedure based on Loess, and Poisson regression. A seasonal ARIMA model was used to forecast dengue cases. Spatial clusters were investigated using the local indicators of spatial associations (LISA). The cyclic pattern showed that the greatest peak of dengue cases likely changed from every other year to every two or three years. In terms of seasonality, a notable peak was observed in June before the pandemic, which was delayed by one month (July) during the pandemic. The trend for 2011-2021 was relatively stable but dengue incidence decreased dramatically by 7.05% and 157.80% on average in 2020 and 2021, respectively. The forecasted cases in 2020 were slightly lower than the reported cases (2.63% difference), whereas the forecasted cases in 2021 were much higher than the actual cases (163.19% difference). The LISA map indicated 5 to 13 risk areas or hotspots of dengue before the COVID-19 pandemic compared to only 1 risk area during the pandemic. During the COVID-19 pandemic, dengue incidence sharply decreased and was lower than forecasted, and the spatial clusters were much lower than before the pandemic.
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