Literature DB >> 19141842

Intervention measures, turning point, and reproduction number for dengue, Singapore, 2005.

Ying-Hen Hsieh1, Stefan Ma.   

Abstract

The 2005 dengue outbreak in Singapore cumulated in > 14,000 cases and 27 reported dengue deaths. We fit the single-phase Richards model to weekly dengue notification numbers to detect the turning point for the outbreak, which enables us to study the impact of intervention measures relating to the turning point. The results indicate that turning point had most likely occurred in late August or early September, before large-scale intervention measures were implemented. The "initial" reproduction number for the outbreak is estimated to be ~1.89-2.23 (95% confidence interval: 1.15-3.00). One of the lessons learned from the 2003 severe acute respiratory syndrome (SARS) outbreak is that multiple phases of outbreak were observed in some affected countries when efforts to intensify intervention or to sustain vigilance were compromised. Intensive and continuing efforts in the implementation of control measures are essential in reducing further dengue occurrences during any resurgence of dengue.

Entities:  

Mesh:

Year:  2009        PMID: 19141842

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   2.345


  29 in total

1.  Estimation of reproduction number and probable vector density of the first autochthonous dengue outbreak in Japan in the last 70 years.

Authors:  Hiroyuki Furuya
Journal:  Environ Health Prev Med       Date:  2015-08-23       Impact factor: 3.674

2.  Evaluating short-term forecasting of COVID-19 cases among different epidemiological models under a Bayesian framework.

Authors:  Qiwei Li; Tejasv Bedi; Christoph U Lehmann; Guanghua Xiao; Yang Xie
Journal:  Gigascience       Date:  2021-02-19       Impact factor: 6.524

3.  The basic reproduction number R0 and effectiveness of reactive interventions during dengue epidemics: the 2002 dengue outbreak in Easter Island, Chile.

Authors:  Gerardo Chowell; R Fuentes; A Olea; X Aguilera; H Nesse; J M Hyman
Journal:  Math Biosci Eng       Date:  2013 Oct-Dec       Impact factor: 2.080

4.  Real-time parameter estimation of Zika outbreaks using model averaging.

Authors:  C R Sebrango-Rodríguez; D A Martínez-Bello; L Sánchez-Valdés; P J Thilakarathne; E Del Fava; P VAN DER Stuyft; A López-Quílez; Z Shkedy
Journal:  Epidemiol Infect       Date:  2017-06-01       Impact factor: 4.434

5.  On epidemic modeling in real time: An application to the 2009 Novel A (H1N1) influenza outbreak in Canada.

Authors:  Ying-Hen Hsieh; David N Fisman; Jianhong Wu
Journal:  BMC Res Notes       Date:  2010-11-05

6.  Early outbreak of 2009 influenza A (H1N1) in Mexico prior to identification of pH1N1 virus.

Authors:  Ying-Hen Hsieh; Stefan Ma; Jorge X Velasco Hernandez; Vernon J Lee; Wei Yen Lim
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

7.  Economic impact of dengue illness and the cost-effectiveness of future vaccination programs in Singapore.

Authors:  Luis R Carrasco; Linda K Lee; Vernon J Lee; Eng Eong Ooi; Donald S Shepard; Tun L Thein; Victor Gan; Alex R Cook; David Lye; Lee Ching Ng; Yee Sin Leo
Journal:  PLoS Negl Trop Dis       Date:  2011-12-20

8.  Variability in transmissibility of the 2009 H1N1 pandemic in Canadian communities.

Authors:  Luiz C Mostaço-Guidolin; Amy Greer; Beate Sander; Jianhong Wu; Seyed M Moghadas
Journal:  BMC Res Notes       Date:  2011-12-13

9.  Transmissibility and temporal changes of 2009 pH1N1 pandemic during summer and fall/winter waves.

Authors:  Ying-Hen Hsieh; Kuang-Fu Cheng; Trong-Neng Wu; Tsai-Chung Li; Chiu-Ying Chen; Jin-Hua Chen; Mei-Hui Lin
Journal:  BMC Infect Dis       Date:  2011-12-02       Impact factor: 3.090

Review 10.  Dynamic epidemiological models for dengue transmission: a systematic review of structural approaches.

Authors:  Mathieu Andraud; Niel Hens; Christiaan Marais; Philippe Beutels
Journal:  PLoS One       Date:  2012-11-06       Impact factor: 3.240

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