{"id":{"repo_id":"nus","oai_identifier":"oai:scholarbank.nus.edu.sg:10635/214317"},"canonical_url":"https://search.dev.ndltd.org/etd/nus/oai:scholarbank.nus.edu.sg:10635/214317","repository":{"repo_id":"nus","name":"National University of Singapore","base_url":"https://scholarbank.nus.edu.sg/oai/request"},"display":{"title":"MODELLING THE EPIDEMIOLOGY, ECOLOGY, AND CONTROL OF AEDES-BORNE DISEASES","abstract":"Aedes-borne diseases are a major contributor to human mortality and morbidity worldwide. In this thesis, I used mathematical and statistical modelling to generate new insights and knowledge about the epidemiology and ecology of Aedes-borne diseases as well as the impact of Aedes control on disease transmission at global and metropolitan scales. First, I developed a mathematical modelling framework integrating travel, demographic, climate, entomological, and human case data and identified 24 locations at a high risk of cryptic Zika virus spread during the 2015—2016 global epidemic. Next, I examined how different environmental and anthropogenic variables influence the spatio-temporal variation of Aedes abundance in Singapore’s high-rise public residential zones. Last, I developed an agent-based model to study the time-varying impact of sustained Aedes control in a wide range of dengue endemic settings. The results of my studies are of direct relevance to the making of evidence-based public health policies going forward.","abstract_html":"Aedes-borne diseases are a major contributor to human mortality and morbidity worldwide. In this thesis, I used mathematical and statistical modelling to generate new insights and knowledge about the epidemiology and ecology of Aedes-borne diseases as well as the impact of Aedes control on disease transmission at global and metropolitan scales. First, I developed a mathematical modelling framework integrating travel, demographic, climate, entomological, and human case data and identified 24 locations at a high risk of cryptic Zika virus spread during the 2015—2016 global epidemic. Next, I examined how different environmental and anthropogenic variables influence the spatio-temporal variation of Aedes abundance in Singapore’s high-rise public residential zones. Last, I developed an agent-based model to study the time-varying impact of sustained Aedes control in a wide range of dengue endemic settings. 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In this thesis, I used mathematical and statistical modelling to generate new insights and knowledge about the epidemiology and ecology of Aedes-borne diseases as well as the impact of Aedes control on disease transmission at global and metropolitan scales. First, I developed a mathematical modelling framework integrating travel, demographic, climate, entomological, and human case data and identified 24 locations at a high risk of cryptic Zika virus spread during the 2015—2016 global epidemic. Next, I examined how different environmental and anthropogenic variables influence the spatio-temporal variation of Aedes abundance in Singapore’s high-rise public residential zones. Last, I developed an agent-based model to study the time-varying impact of sustained Aedes control in a wide range of dengue endemic settings. 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First, I developed a mathematical modelling framework integrating travel, demographic, climate, entomological, and human case data and identified 24 locations at a high risk of cryptic Zika virus spread during the 2015—2016 global epidemic. Next, I examined how different environmental and anthropogenic variables influence the spatio-temporal variation of Aedes abundance in Singapore’s high-rise public residential zones. Last, I developed an agent-based model to study the time-varying impact of sustained Aedes control in a wide range of dengue endemic settings. 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