A Time Series Analysis of Associations between Daily Temperature and Crime Events in Philadelphia, Pennsylvania.

Urban crime may be an important but overlooked public health impact of rising ambient temperatures. We conducted a time series analysis of associations between temperature and crimes in Philadelphia, PA, for years 2006-2015. We obtained daily crime data from the Philadelphia Police Department, and h...

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Publicado en:Journal of Urban Health Vol. 94; no. 6; pp. 892 - 901
Autores principales: Schinasi, Leah, Hamra, Ghassan, Schinasi, Leah H, Hamra, Ghassan B
Formato: journal article
Publicado: Springer Nature Dec2017
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2017
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        atl: A Time Series Analysis of Associations between Daily Temperature and Crime Events in Philadelphia, Pennsylvania.
      aug:
        au:
          Schinasi, Leah
          Hamra, Ghassan
          Schinasi, Leah H
          Hamra, Ghassan B
        affil:
          Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA, 19104, USA
          Dornsife School of Public Health, Urban Health Collaborative, Drexel University, 3600 Market Street, Philadelphia, PA, 19104, USA
      su:
        Philadelphia (Pa.)
        Violent crimes
        Public health
        Epidemiology
        Time series analysis
        Urban temperature
        Atmospheric temperature
        Heat index
      sug:
        subj:
          Violent crimes
          Public health
          Epidemiology
          Philadelphia (Pa.)
          Health and Welfare Funds
          Time series analysis
          Urban temperature
          Atmospheric temperature
          Heat index
      keyword:
        Crime
        Generalized additive models
        Temperature
        Violence
        Violent crime
        Crime
        Generalized additive models
        Temperature
        Violence
        Violent crime
      ab: Urban crime may be an important but overlooked public health impact of rising ambient temperatures. We conducted a time series analysis of associations between temperature and crimes in Philadelphia, PA, for years 2006-2015. We obtained daily crime data from the Philadelphia Police Department, and hourly temperature and dew point data from the National Centers for Environmental Information. We calculated the mean daily heat index and daily deviations from each year's seasonal mean heat index value. We used generalized additive models with a quasi-Poisson distribution, adjusted for day of the week, public holiday, and long-term trends and seasonality, to estimate relative rates (RR) and 95% confidence intervals. We found that the strongest associations were with violent crime and disorderly conduct. For example, relative to the median of the distribution of mean daily heat index values, the rate of violent crimes was 9% (95% CI 6-12%) higher when the mean daily heat index was at the 99th percentile of the distribution. There was a positive, linear relationship between deviations of the daily mean heat index from the seasonal mean and rates of violent crime and disorderly conduct, especially in cold months. Overall, these analyses suggest that disorderly conduct and violent crimes are highest when temperatures are comfortable, especially during cold months. This work provides important information regarding the temporal patterns of crime activity.
      pubtype: Academic Journal
      doctype: journal article
      src: R
    language: English
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