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Micro-scale urbanization-based risk factors for dengue epidemics

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Abstract

Dengue is one of the world’s most rapidly spreading mosquito-borne viral diseases. As it is found mostly in urban and semi-urban areas, urbanization and associated human activities that affect the environment and larval habitats could become risk factors (e.g., lane width, conditions of street ditches) for the spread of dengue. However, there are currently no systematic studies of micro-scale urbanization-based risk factors for the spread of dengue epidemics. We describe the study area, two micro-scale environmental risk factors associated with urbanization, and meteorological data. Since the observations involve spatial and temporal correlations, we also use some statistical methods for the analysis of spatial and spatial-temporal data for the relationship between urbanization and dengue. In this study, we analyzed data from Kaohsiung, a densely populated city in southern Taiwan, and found a positive correlation between environmental risk factors associated with urbanization (ditches positive for mosquito larvae and closely packed streets termed “dengue lanes”) and clustering effects in dengue cases. The statistical analysis also revealed that the occurrence of positive ditches was significantly associated with that of dengue lanes in the study area. The relationship between climate variables and positive ditches was also analyzed in this paper, indicating a relationship between dengue and both rainfall and temperature, with temperature having a greater effect. Overall, this work is immediately relevant and applicable for policymakers in government, who will need to reduce these favorable habitats for vector-born disease spreaders and implement regulations for new urban constructions to thus reduce dengue spread in future outbreaks.

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The data set is available if the applicant gets granted by the Kaohsiung City government.

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Correspondence to Pei-Sheng Lin or Chun-Hong Chen.

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Lin, PS., Liu, WL., Chen, CD. et al. Micro-scale urbanization-based risk factors for dengue epidemics. Int J Biometeorol 68, 133–141 (2024). https://doi.org/10.1007/s00484-023-02577-2

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  • DOI: https://doi.org/10.1007/s00484-023-02577-2

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