{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,15]],"date-time":"2025-08-15T01:04:19Z","timestamp":1755219859201,"version":"3.43.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686080","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T00:00:00Z","timestamp":1754524800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,7]]},"abstract":"<jats:p>Existing research has established building age as a dominant urban factor influencing mosquito incidence in Singapore, which presents a problem for vector-borne diseases like Dengue. However, in-depth research understanding this relationship has yet to be conducted. This paper explores the correlation between detailed building design features and female Aedes Aegypti mosquito counts, applied to a novel dataset of 400 high-rise residential buildings representing a nationally representative sample. Based on linear regression results, a range of specific building features was found to be statistically significant in influencing mosquito counts. The neural network model also predicts mounting air-cons on ledges potentially decreases mean weekly average mosquitos by 29% and installing air-conditioning trays leads to a 33% increase.<\/jats:p>","DOI":"10.3233\/shti251085","type":"book-chapter","created":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:40:30Z","timestamp":1754566830000},"source":"Crossref","is-referenced-by-count":0,"title":["Architectural Design Features in High Density Urban Residential Estates and Their Role in Mosquito Incidence in Singapore"],"prefix":"10.3233","author":[{"given":"Zwa Thant","family":"Kyaw","sequence":"first","affiliation":[{"name":"Singapore University of Technology and Design (SUTD)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Amelia Hui Shan","family":"Tan","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design (SUTD)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong T.A.","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design (SUTD)"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sam Conrad","family":"Joyce","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design (SUTD)"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2025 \u2014 Healthcare Smart \u00d7 Medicine Deep"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI251085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,7]],"date-time":"2025-08-07T11:40:31Z","timestamp":1754566831000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI251085"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,7]]},"ISBN":["9781643686080"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti251085","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,7]]}}}