Assessing United States County-Level Exposure for Research on Tropical Cyclones and Human Health

Author:

Anderson G. Brooke1,Ferreri Joshua12,Al-Hamdan Mohammad3,Crosson William3,Schumacher Andrea4,Guikema Seth5,Quiring Steven6,Eddelbuettel Dirk7,Yan Meilin18,Peng Roger D.9

Affiliation:

1. Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA

2. School of Medicine, University of Colorado, Aurora, Colorado, USA

3. Universities Space Research Association, NASA Marshall Space Flight Center, Huntsville, Alabama, USA

4. Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado, USA

5. Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan, USA

6. Department of Geography, Ohio State University, Columbus, Ohio, USA

7. Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA

8. Beijing Innovation Center for Engineering Science and Advanced Technology and State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, China

9. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

Publisher

Environmental Health Perspectives

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference83 articles.

1. Environmental public health applications using remotely sensed data

2. Anderson GB Bell ML. 2011. Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 US communities. Environ Health Perspect 119(2):210–218.

3. Anderson GB Chen Z. 2019. noaastormevents: Explore NOAA Storm Events Database. R Package Version 0.1.1. https://cran.r-project.org/package=noaastormevents [accessed 16 February 2019].

4. Hosting Data Packages via drat: A Case Study with Hurricane Exposure Data

5. Anderson GB Guo Z. 2016. countytimezones: convert from UTC to Local Time for United States Counties. R package version 1.0.0. https://cran.r-project.org/package=countytimezones [accessed 16 February 2019].

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