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Climate-Based Descriptive Models of Dengue Fever: The 2002 Epidemic in Colima, Mexico.

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Title: Climate-Based Descriptive Models of Dengue Fever: The 2002 Epidemic in Colima, Mexico.
Authors: Chowell, Gerardo1 chowell@lanl.gov, Sanchez, Fabio
Source: Journal of Environmental Health. Jun2006, Vol. 68 Issue 10, p40-44. 5p.
Subjects: Dengue, Epidemics, Climatology, Regression analysis, Flaviviruses, Arbovirus diseases, Hemorrhagic fever, Public health
Geographic Terms: Mexico
Abstract: Dengue is a public health problem on the rise in many tropical regions and affects approximately 100 million people every year worldwide. In this paper, the authors retrospectively assess the association between five climatological variables and dengue incidence using data from the 2002 dengue epidemic in Colima, Mexico. Pluvial precipitation (mm), evaporation (mm), and mean, maximum, and minimum temperatures (°C) were obtained from local meteorological stations. The highest correlation of dengue incidence with maximum temperature was found at a lag of one month, and the highest correlation for evaporation was found at a lag of three months, A multiple-linear-regression model that includes all the climatological variables was correlated with 94 percent of the observed variance. Two simpler linear models with variables significant at the 99 percent confidence level were correlated with 88 percent (Precipitation + Evaporation) and 79 percent (Precipitation + Maximum Temperature) of the observed variance. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Environmental Health is the property of National Environmental Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Climate-Based Descriptive Models of Dengue Fever: The 2002 Epidemic in Colima, Mexico.
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  Data: <searchLink fieldCode="AR" term="%22Chowell%2C+Gerardo%22">Chowell, Gerardo</searchLink><relatesTo>1</relatesTo><i> chowell@lanl.gov</i><br /><searchLink fieldCode="AR" term="%22Sanchez%2C+Fabio%22">Sanchez, Fabio</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Health%22">Journal of Environmental Health</searchLink>. Jun2006, Vol. 68 Issue 10, p40-44. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Dengue%22">Dengue</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink><br /><searchLink fieldCode="DE" term="%22Climatology%22">Climatology</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Flaviviruses%22">Flaviviruses</searchLink><br /><searchLink fieldCode="DE" term="%22Arbovirus+diseases%22">Arbovirus diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Hemorrhagic+fever%22">Hemorrhagic fever</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health%22">Public health</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Mexico%22">Mexico</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Dengue is a public health problem on the rise in many tropical regions and affects approximately 100 million people every year worldwide. In this paper, the authors retrospectively assess the association between five climatological variables and dengue incidence using data from the 2002 dengue epidemic in Colima, Mexico. Pluvial precipitation (mm), evaporation (mm), and mean, maximum, and minimum temperatures (°C) were obtained from local meteorological stations. The highest correlation of dengue incidence with maximum temperature was found at a lag of one month, and the highest correlation for evaporation was found at a lag of three months, A multiple-linear-regression model that includes all the climatological variables was correlated with 94 percent of the observed variance. Two simpler linear models with variables significant at the 99 percent confidence level were correlated with 88 percent (Precipitation + Evaporation) and 79 percent (Precipitation + Maximum Temperature) of the observed variance. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Environmental Health is the property of National Environmental Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 5
        StartPage: 40
    Subjects:
      – SubjectFull: Dengue
        Type: general
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: Climatology
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Flaviviruses
        Type: general
      – SubjectFull: Arbovirus diseases
        Type: general
      – SubjectFull: Hemorrhagic fever
        Type: general
      – SubjectFull: Public health
        Type: general
      – SubjectFull: Mexico
        Type: general
    Titles:
      – TitleFull: Climate-Based Descriptive Models of Dengue Fever: The 2002 Epidemic in Colima, Mexico.
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            NameFull: Chowell, Gerardo
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          Name:
            NameFull: Sanchez, Fabio
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            – D: 01
              M: 06
              Text: Jun2006
              Type: published
              Y: 2006
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              Value: 68
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