MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE
Ph.D
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Language: | English |
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2018
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Online Access: | http://scholarbank.nus.edu.sg/handle/10635/149787 |
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sg-nus-scholar.10635-1497872021-01-03T13:08:51Z MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE KIESHA PREM DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) Alexander Richard Cook infectious disease modelling, Bayesian data augmentation, spatial modelling, temporal projections Ph.D DOCTOR OF PHILOSOPHY (SPH) 2018-12-11T18:00:27Z 2018-12-11T18:00:27Z 2018-09-13 Thesis KIESHA PREM (2018-09-13). MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/149787 0000-0003-0528-798X en |
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National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
infectious disease modelling, Bayesian data augmentation, spatial modelling, temporal projections |
spellingShingle |
infectious disease modelling, Bayesian data augmentation, spatial modelling, temporal projections KIESHA PREM MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE |
description |
Ph.D |
author2 |
DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) |
author_facet |
DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH) KIESHA PREM |
format |
Theses and Dissertations |
author |
KIESHA PREM |
author_sort |
KIESHA PREM |
title |
MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE |
title_short |
MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE |
title_full |
MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE |
title_fullStr |
MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE |
title_full_unstemmed |
MODELLING GEOGRAPHICALLY-DEFINED EXPOSURES TO INFECTIOUS DISEASE |
title_sort |
modelling geographically-defined exposures to infectious disease |
publishDate |
2018 |
url |
http://scholarbank.nus.edu.sg/handle/10635/149787 |
_version_ |
1688754006209331200 |