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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51507

Title: Assessing health burden risk and control effect on dengue fever infection in the southern region of Taiwan.
Authors: Cheng YH
Lin YJ
You SH
Chen SC
Hsieh NH
Yang YF
Liao CM
Chen WY
Contributors: 國立臺灣海洋大學:食品安全與風險管理研究所
Keywords: DALYs
control intervention
dengue
modeling
infection
Date: 2018-09
Issue Date: 2018-12-05T08:13:55Z
Publisher: Infect Drug Resist
Abstract: Abstract: BACKGROUND:The high prevalence of dengue in Taiwan and the consecutive large dengue outbreaks in the period 2014-2015 suggest that current control interventions are suboptimal. Understanding the effect of control effort is crucial to inform future control strategies.
OBJECTIVES:We developed a framework to measure season-based health burden risk from 2001 to 2014. We reconstructed various intervention coverage to assess the attributable effect of dengue infection control efforts.
MATERIALS AND METHODS:A dengue-mosquito-human transmission dynamic was used to quantify the vector-host interactions and to estimate the disease epidemics. We used disability-adjusted life years (DALYs) to assess health burden risk. A temperature-basic reproduction number (R0)-DALYs relationship was constructed to examine the potential impacts of temperature on health burden. Finally, a health burden risk model linked a control measure model to evaluate the effect of dengue control interventions.
RESULTS:We showed that R0 and DALYs peaked at 25°C with estimates of 2.37 and 1387, respectively. Results indicated that most dengue cases occurred in fall with estimated DALYs of 323 (267-379, 95% CI) at 50% risk probability. We found that repellent spray had by far the largest control effect with an effectiveness of ~71% in all seasons. Pesticide spray and container clean-up have both made important contributions to reducing prevalence/incidence. Repellent, pesticide spray, container clean-up together with Wolbachia infection suppress dengue outbreak by ~90%.
CONCLUSION:Our presented modeling framework provides a useful tool to measure dengue health burden risk and to quantify the effect of dengue control on dengue infection prevalence and disease incidence in the southern region of Taiwan.
Relation: 11 pp.1423-1435
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/51507
Appears in Collections:[食品科學系] 期刊論文

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