A synthetic population for modelling the dynamics of infectious disease transmission in American Samoa
Xu, Zhujing, Glass, Kathryn, Lau, Colleen L., Geard, Nicholas, Graves, Patricia, and Clements, Archie (2017) A synthetic population for modelling the dynamics of infectious disease transmission in American Samoa. Scientific Reports, 7. 16725.
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Abstract
Agent-based modelling is a useful approach for capturing heterogeneity in disease transmission. In this study, a synthetic population was developed for American Samoa using an iterative approach based on population census, questionnaire survey and land use data. The population will be used as the basis for a new agent-based model, intended specifically to fill the knowledge gaps about lymphatic filariasis transmission and elimination, but also to be readily adaptable to model other infectious diseases. The synthetic population was characterized by the statistically realistic population and household structure, and high-resolution geographic locations of households. The population was simulated over 40 years from 2010 to 2050. The simulated population was compared to estimates and projections of the U.S. Census Bureau. The results showed the total population would continuously decrease due to the observed large number of emigrants. Population ageing was observed, which was consistent with the latest two population censuses and the Bureau's projections. The sex ratios by age groups were analysed and indicated an increase in the proportion of males in age groups 0-14 and 15-64. The household size followed a Gaussian distribution with an average size of around 5.0 throughout the simulation, slightly less than the initial average size 5.6.
| Item ID: | 51831 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 2045-2322 |
| Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
| Funders: | National Health and Medical Research Council (NHMRC) |
| Projects and Grants: | NHMRC Senior Research Fellowship, NHMRC Early Career Fellowship, NHMRC Centre of Research Excellence |
| Date Deposited: | 20 Dec 2017 07:42 |
| FoR Codes: | 42 HEALTH SCIENCES > 4206 Public health > 420606 Social determinants of health @ 50% 45 INDIGENOUS STUDIES > 4516 Pacific Peoples health and wellbeing > 451615 Pacific Peoples remote health @ 50% |
| SEO Codes: | 92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920404 Disease Distribution and Transmission (incl. Surveillance and Response) @ 50% 92 HEALTH > 9205 Specific Population Health (excl. Indigenous Health) > 920599 Specific Population Health (excl. Indigenous Health) not elsewhere classified @ 50% |
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