Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Spatial pattern assessment of dengue fever risk in subtropical urban environments: The case of Hong Kong
https://orcid.org/0000-0002-5825-5749
https://orcid.org/0000-0001-7070-2284
https://orcid.org/0000-0002-8494-2585
https://orcid.org/0000-0003-4902-169X
https://orcid.org/0000-0002-7144-1175
https://orcid.org/0000-0003-4011-8735
https://orcid.org/0000-0003-1961-2675
Graphical abstract Display Omitted
Highlights Landscape metrics applied for assessing entomological dengue fever hazard. Dengue fever risk is evaluated by adopting the IPCC’s risk conceptual framework. Seventeen potential hotspots for dengue fever risk are identified in Hong Kong. The underlying factors responsible for hotspots are analyzed and discussed. Dengue fever risk maps are developed for local public health actions and planning.
Abstract Dengue fever, a mosquito-borne fatal disease, brings a huge health burden in tropical regions. With global warming, rapid urbanization and the expansion of mosquitoes, dengue fever is expected to spread to many subtropical regions, leading to increased potential health risks on local populations. So far, limited studies assessed the dengue fever risk spatially for subtropical non-endemic regions hindering the development of related public health management. Therefore, we proposed a spatial hazard-exposure-vulnerability assessment framework for mapping the dengue fever risk in Hong Kong. Firstly, the spatial distribution of the habitat suitability for Aedes albopictus, the mosquito proxy for the dengue fever hazard, was predicted using a species distribution model (e.g., MaxEnt) relying on a list of variables related to local climate, urban morphology, and landscape metrics. Secondly, the spatial autocorrelation between high dengue hazard and high human population exposure in urban areas was measured. Finally, the dengue fever risk was assessed at community scale by integrating the results of vulnerability analysis basing on census data. This approach allowed the identification of 17 high-risk spots within Hong Kong. The landscape metrics about land utilities and vegetations, and urban morphological characteristics are the influential factors on the spatial distribution of dengue vector. In addition, the underlying factors behind each hot spot were investigated, and specific suggestions for dengue prevention were proposed accordingly. The findings provide a useful reference for developing local dengue fever risk prevention measures, with the proposed method easily exportable to other high-density cities within subtropical Asia and elsewhere.
Spatial pattern assessment of dengue fever risk in subtropical urban environments: The case of Hong Kong
https://orcid.org/0000-0002-5825-5749
https://orcid.org/0000-0001-7070-2284
https://orcid.org/0000-0002-8494-2585
https://orcid.org/0000-0003-4902-169X
https://orcid.org/0000-0002-7144-1175
https://orcid.org/0000-0003-4011-8735
https://orcid.org/0000-0003-1961-2675
Graphical abstract Display Omitted
Highlights Landscape metrics applied for assessing entomological dengue fever hazard. Dengue fever risk is evaluated by adopting the IPCC’s risk conceptual framework. Seventeen potential hotspots for dengue fever risk are identified in Hong Kong. The underlying factors responsible for hotspots are analyzed and discussed. Dengue fever risk maps are developed for local public health actions and planning.
Abstract Dengue fever, a mosquito-borne fatal disease, brings a huge health burden in tropical regions. With global warming, rapid urbanization and the expansion of mosquitoes, dengue fever is expected to spread to many subtropical regions, leading to increased potential health risks on local populations. So far, limited studies assessed the dengue fever risk spatially for subtropical non-endemic regions hindering the development of related public health management. Therefore, we proposed a spatial hazard-exposure-vulnerability assessment framework for mapping the dengue fever risk in Hong Kong. Firstly, the spatial distribution of the habitat suitability for Aedes albopictus, the mosquito proxy for the dengue fever hazard, was predicted using a species distribution model (e.g., MaxEnt) relying on a list of variables related to local climate, urban morphology, and landscape metrics. Secondly, the spatial autocorrelation between high dengue hazard and high human population exposure in urban areas was measured. Finally, the dengue fever risk was assessed at community scale by integrating the results of vulnerability analysis basing on census data. This approach allowed the identification of 17 high-risk spots within Hong Kong. The landscape metrics about land utilities and vegetations, and urban morphological characteristics are the influential factors on the spatial distribution of dengue vector. In addition, the underlying factors behind each hot spot were investigated, and specific suggestions for dengue prevention were proposed accordingly. The findings provide a useful reference for developing local dengue fever risk prevention measures, with the proposed method easily exportable to other high-density cities within subtropical Asia and elsewhere.
Spatial pattern assessment of dengue fever risk in subtropical urban environments: The case of Hong Kong
https://orcid.org/0000-0002-5825-5749
https://orcid.org/0000-0001-7070-2284
https://orcid.org/0000-0002-8494-2585
https://orcid.org/0000-0003-4902-169X
https://orcid.org/0000-0002-7144-1175
https://orcid.org/0000-0003-4011-8735
https://orcid.org/0000-0003-1961-2675
Graphical abstract Display Omitted
Highlights Landscape metrics applied for assessing entomological dengue fever hazard. Dengue fever risk is evaluated by adopting the IPCC’s risk conceptual framework. Seventeen potential hotspots for dengue fever risk are identified in Hong Kong. The underlying factors responsible for hotspots are analyzed and discussed. Dengue fever risk maps are developed for local public health actions and planning.
Abstract Dengue fever, a mosquito-borne fatal disease, brings a huge health burden in tropical regions. With global warming, rapid urbanization and the expansion of mosquitoes, dengue fever is expected to spread to many subtropical regions, leading to increased potential health risks on local populations. So far, limited studies assessed the dengue fever risk spatially for subtropical non-endemic regions hindering the development of related public health management. Therefore, we proposed a spatial hazard-exposure-vulnerability assessment framework for mapping the dengue fever risk in Hong Kong. Firstly, the spatial distribution of the habitat suitability for Aedes albopictus, the mosquito proxy for the dengue fever hazard, was predicted using a species distribution model (e.g., MaxEnt) relying on a list of variables related to local climate, urban morphology, and landscape metrics. Secondly, the spatial autocorrelation between high dengue hazard and high human population exposure in urban areas was measured. Finally, the dengue fever risk was assessed at community scale by integrating the results of vulnerability analysis basing on census data. This approach allowed the identification of 17 high-risk spots within Hong Kong. The landscape metrics about land utilities and vegetations, and urban morphological characteristics are the influential factors on the spatial distribution of dengue vector. In addition, the underlying factors behind each hot spot were investigated, and specific suggestions for dengue prevention were proposed accordingly. The findings provide a useful reference for developing local dengue fever risk prevention measures, with the proposed method easily exportable to other high-density cities within subtropical Asia and elsewhere.
Spatial pattern assessment of dengue fever risk in subtropical urban environments: The case of Hong Kong
Yin, Shi (Autor:in) / Hua, Junyi (Autor:in) / Ren, Chao (Autor:in) / Wang, Runxi (Autor:in) / Weemaels, André Ibáñez (Autor:in) / Guénard, Benoit (Autor:in) / Shi, Yuan (Autor:in) / Lee, Tsz-Cheung (Autor:in) / Yuan, Hsiang-Yu (Autor:in) / Chong, Ka Chun (Autor:in)
21.05.2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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