Using mathematical models to develop tuberculosis control strategies in Bangladesh
Kuddus, Md Abdul (2021) Using mathematical models to develop tuberculosis control strategies in Bangladesh. PhD thesis, James Cook University.
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Abstract
Md Abdul Kuddus used mathematical modelling to investigate the transmission of tuberculosis in Bangladesh, and identify optimal intervention strategies. He found that without rapid improvements in treatment quality the incidence of drug-resistant tuberculosis will continue to rise; whilst reasonable scale-ups of existing control measures can eliminate all tuberculosis in Bangladesh.
| Item ID: | 69393 |
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| Item Type: | Thesis (PhD) |
| Keywords: | mathematical modelling, epidemic modelling, infectious diseases, epidemiology, public health, tuberculosis, stability analysis, sensitivity analysis, optimal control strategy, economical modelling, distributed lag models, scenario analysis |
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| Copyright Information: | Copyright © 2020 Md Abdul Kuddus. |
| Additional Information: | Four publications arising from this thesis are stored in ResearchOnline@JCU, at the time of processing. Please see the Related URLs. The publications are: [Chapter 2] Kuddus, Md Abdul, Tynan, Elizabeth, and McBryde, Emma (2020) Urbanization: a problem for the rich and the poor? Public Health Reviews, 41. 1. [Chapter 3] Kuddus, Md Abdul, McBryde, Emma S., and Adegboye, Oyelola A. (2019) Delay effect and burden of weather related tuberculosis cases in Rajshahi province, Bangladesh, 2007–2012. Scientific Reports, 9. 12720. [Chapter 4] Kuddus, Md Abdul, McBryde, Emma S., Adekunle, Adeshina I., White, Lisa J., and Meehan, Michael T. (2021) Mathematical analysis of a two-strain disease model with amplification. Chaos Solitons and Fractals, 143. 110594. [Chapter 6] Kuddus, Md Abdul, Meehan, Michael T., White, Lisa J., McBryde, Emma S., and Adekunle, Adeshina I. (2020) Modeling drug-resistant tuberculosis amplification rates and intervention strategies in Bangladesh. PLoS ONE, 15 (7). e0236112. |
| Date Deposited: | 07 Oct 2021 04:12 |
| FoR Codes: | 42 HEALTH SCIENCES > 4202 Epidemiology > 420205 Epidemiological modelling @ 100% |
| SEO Codes: | 20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 100% |
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