Literature DB >> 22878174

Event history analysis of dengue fever epidemic and inter-epidemic spells in Barbados, Brazil, and Thailand.

Daniel Parker1, Darryl Holman.   

Abstract

OBJECTIVE: This study investigated meteorological and demographic factors affecting the length of dengue fever epidemics and the length of time between epidemics in Barbados, Brazil, and Thailand.
METHODS: Region-specific meteorological and demographic data were collected for 104 sites from public sources. Fixed effects piecewise logistic event history analysis was used to quantify the effects of time-varying covariates on the duration of inter-epidemic spells and for the duration of epidemics.
RESULTS: Mean monthly temperature was the most important factor affecting the duration of both inter-epidemic spells (β=0.543; confidence interval (CI) 0.4954, 0.5906) and epidemic spells (β=-0.648; CI -0.7553, -0.5405). Drought conditions increased the time between epidemics. Increased temperature hastened the onset of an epidemic, and during an epidemic, higher mean temperature increased the duration of the epidemic.
CONCLUSIONS: By using a duration analysis, this study offers a novel approach for investigating the dynamics of dengue fever epidemiology. Furthermore, these results offer new insights into prior findings of a correlation between temperature and the geographic range and vector efficiency of dengue fever.
Copyright © 2012 International Society for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22878174      PMCID: PMC4281303          DOI: 10.1016/j.ijid.2012.07.002

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


  29 in total

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2.  A simulation model of the epidemiology of urban dengue fever: literature analysis, model development, preliminary validation, and samples of simulation results.

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5.  Travelling waves in the occurrence of dengue haemorrhagic fever in Thailand.

Authors:  Derek A T Cummings; Rafael A Irizarry; Norden E Huang; Timothy P Endy; Ananda Nisalak; Kumnuan Ungchusak; Donald S Burke
Journal:  Nature       Date:  2004-01-22       Impact factor: 49.962

Review 6.  Dengue virus-mosquito interactions.

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8.  Models of dengue virus infection.

Authors:  Dennis A Bente; Rebeca Rico-Hesse
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9.  Nonstationary influence of El Niño on the synchronous dengue epidemics in Thailand.

Authors:  Bernard Cazelles; Mario Chavez; Anthony J McMichael; Simon Hales
Journal:  PLoS Med       Date:  2005-04-26       Impact factor: 11.069

10.  Epidemics after natural disasters.

Authors:  John T Watson; Michelle Gayer; Maire A Connolly
Journal:  Emerg Infect Dis       Date:  2007-01       Impact factor: 6.883

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  1 in total

1.  Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010-2011.

Authors:  Daniel Barros de Castro; Vanderson Souza Sampaio; Bernardino Cláudio de Albuquerque; Rosemary Costa Pinto; Megumi Sadahiro; Ricardo Augusto Dos Passos; Cristiano Fernandes da Costa; José Ueleres Braga
Journal:  BMC Public Health       Date:  2018-03-15       Impact factor: 3.295

  1 in total

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