{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T19:24:05Z","timestamp":1780601045988,"version":"3.54.1"},"reference-count":42,"publisher":"The Royal Society","issue":"155","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/royalsociety.org\/journals\/ethics-policies\/data-sharing-mining\/"}],"funder":[{"DOI":"10.13039\/501100016001","name":"Singapore Population Health Improvement Centre","doi-asserted-by":"crossref","award":["NMRC\/CG\/C026\/2017_NUHS"],"award-info":[{"award-number":["NMRC\/CG\/C026\/2017_NUHS"]}],"id":[{"id":"10.13039\/501100016001","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["royalsocietypublishing.org"],"crossmark-restriction":true},"short-container-title":["J. R. Soc. Interface."],"published-print":{"date-parts":[[2019,6]]},"abstract":"<jats:p>\n            Singapore experienced its first known Zika outbreak in 2016. Given the lack of herd immunity, the suitability of the climate for pathogen transmission, and the year-round presence of the vector\u2014\n            <jats:italic>Aedes aegypti<\/jats:italic>\n            \u2014Zika had the potential to become endemic, like dengue. Guillain\u2013Barr\u00e9 syndrome and microcephaly are severe complications associated elsewhere with Zika and the risk of these complications makes understanding its spread imperative. We investigated the spatio-temporal spread of locally transmitted Zika in Singapore and assessed the relevance of non-residential transmission of Zika virus infections, by inferring the possible infection tree (i.e.\n            <jats:italic>who-infected-whom-where<\/jats:italic>\n            ) and comparing inferences using geographically resolved data on cases' home, their work, or their home and work. We developed a spatio-temporal model using time of onset and both addresses of the Zika-confirmed cases between July and September 2016 to estimate the infection tree using Bayesian data augmentation. Workplaces were involved in a considerable fraction (64.2%) of infections, and homes and workplaces may be distant relative to the scale of transmission, allowing ambulant infected persons may act as the \u2018vector\u2019 infecting distant parts of the country. Contact tracing is a challenge for mosquito-borne diseases, but inferring the geographically structured transmission tree sheds light on the spatial transmission of Zika to immunologically naive regions of the country.\n          <\/jats:p>","DOI":"10.1098\/rsif.2018.0604","type":"journal-article","created":{"date-parts":[[2019,6,19]],"date-time":"2019-06-19T07:06:05Z","timestamp":1560927965000},"page":"20180604","update-policy":"https:\/\/doi.org\/10.1098\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Inferring\n            <i>who-infected-whom-where<\/i>\n            in the 2016 Zika outbreak in Singapore\u2014a spatio-temporal model"],"prefix":"10.1098","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0528-798X","authenticated-orcid":true,"given":"Kiesha","family":"Prem","sequence":"first","affiliation":[{"name":"Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #10-01, Singapore 117549, Republic of Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Max S. Y.","family":"Lau","sequence":"additional","affiliation":[{"name":"Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clarence C.","family":"Tam","sequence":"additional","affiliation":[{"name":"Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building, 12 Science Drive 2, #10-01, Singapore 117549, Republic of Singapore"},{"name":"London School of Hygiene and Tropical Medicine, Keppel Street, London WC1E 7HT, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc Z. 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See https:\/\/www.moh.gov.sg\/content\/moh_web\/home\/statistics\/infectiousDiseasesStatistics\/weekly_infectiousdiseasesbulletin.html (accessed on 30 May 2017)."},{"key":"e_1_3_5_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(16)00562-6"},{"key":"e_1_3_5_18_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1605564"},{"key":"e_1_3_5_19_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1600651"},{"key":"e_1_3_5_20_2","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.17-0819"},{"key":"e_1_3_5_21_2","doi-asserted-by":"publisher","DOI":"10.3201\/eid2109.141030"},{"key":"e_1_3_5_22_2","unstructured":"Department of Statistics Singapore. 2010 Statistics Singapore \u2013 Census of Population 2010 Statistical Release 3 \u2013 Geographic Distribution and Transport. 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