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Framework for a Community Health Observing System for the Gulf of Mexico Region: Preparing for Future Disasters.
Sandifer, Paul; Knapp, Landon; Lichtveld, Maureen; Manley, Ruth; Abramson, David; Caffey, Rex; Cochran, David; Collier, Tracy; Ebi, Kristie; Engel, Lawrence; Farrington, John; Finucane, Melissa; Hale, Christine; Halpern, David; Harville, Emily; Hart, Leslie; Hswen, Yulin; Kirkpatrick, Barbara; McEwen, Bruce; Morris, Glenn; Orbach, Raymond; Palinkas, Lawrence; Partyka, Melissa; Porter, Dwayne; Prather, Aric A; Rowles, Teresa; Scott, Geoffrey; Seeman, Teresa; Solo-Gabriele, Helena; Svendsen, Erik; Tincher, Terry; Trtanj, Juli; Walker, Ann Hayward; Yehuda, Rachel; Yip, Fuyuen; Yoskowitz, David; Singer, Burton.
  • Sandifer P; Center for Coastal Environmental and Human Health, College of Charleston, Charleston, SC, United States.
  • Knapp L; Center for Coastal Environmental and Human Health, College of Charleston, Charleston, SC, United States.
  • Lichtveld M; School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
  • Manley R; Master's Program in Environmental and Sustainability Studies, College of Charleston, Charleston, SC, United States.
  • Abramson D; School of Global Public Health, New York University, New York, NY, United States.
  • Caffey R; Department of Agricultural Economics and Agribusiness, Louisiana State University, Baton Rouge, LA, United States.
  • Cochran D; School of Biological, Environmental, and Earth Sciences, University of Southern Mississippi, Hattiesburg, MS, United States.
  • Collier T; Huxley College of the Environment, Western Washington University, Bellingham, WA, United States.
  • Ebi K; Department of Global Health, University of Washington, Seattle, WA, United States.
  • Engel L; Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States.
  • Farrington J; Woods Hole Oceanographic Institution, Woods Hole, MA, United States.
  • Finucane M; Rand Corporation, Pittsburg, PA, United States.
  • Hale C; Harte Research Institute, Texas A&M University-Corpus Christi, Corpus Christi, TX, United States.
  • Halpern D; Scripps Institution of Oceanography, La Jolla, CA, United States.
  • Harville E; School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
  • Hart L; Department of Health and Human Performance, College of Charleston, Charleston, SC, United States.
  • Hswen Y; Computational Epidemiology Lab, Harvard Medical School, Boston, MA, United States.
  • Kirkpatrick B; Department of Epidemiology and Biostatistics, Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, United States.
  • McEwen B; Gulf of Mexico Coastal Ocean Observing System, Texas A&M University, College Station TX, United States.
  • Morris G; Laboratory of Neuroendocrinology, Rockefeller University, New York, NY, United States.
  • Orbach R; Emerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
  • Palinkas L; Department of Mechanical Engineering, University of Texas, Austin, TX, United States.
  • Partyka M; Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, CA, United States.
  • Porter D; Mississippi-Alabama Sea Grant Consortium, Mobile, AL, United States.
  • Prather AA; Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
  • Rowles T; Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, United States.
  • Scott G; National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Silver Spring, MD, United States.
  • Seeman T; Arnold School of Public Health, University of South Carolina, Columbia, SC, United States.
  • Solo-Gabriele H; David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
  • Svendsen E; Department of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, FL, United States.
  • Tincher T; Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Trtanj J; Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Walker AH; Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration, Silver Spring, MD, United States.
  • Yehuda R; SEA Consulting Group, Cape Charles, VA, United States.
  • Yip F; Icahn School of Medicine at Mount Sinai, Bronx, NY, United States.
  • Yoskowitz D; Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States.
  • Singer B; Harte Research Institute, Texas A&M University-Corpus Christi, Corpus Christi, TX, United States.
Front Public Health ; 8: 578463, 2020.
Article in English | MEDLINE | ID: covidwho-914460
ABSTRACT
The Gulf of Mexico (GoM) region is prone to disasters, including recurrent oil spills, hurricanes, floods, industrial accidents, harmful algal blooms, and the current COVID-19 pandemic. The GoM and other regions of the U.S. lack sufficient baseline health information to identify, attribute, mitigate, and facilitate prevention of major health effects of disasters. Developing capacity to assess adverse human health consequences of future disasters requires establishment of a comprehensive, sustained community health observing system, similar to the extensive and well-established environmental observing systems. We propose a system that combines six levels of health data domains, beginning with three existing, national surveys and studies plus three new nested, longitudinal cohort studies. The latter are the unique and most important parts of the system and are focused on the coastal regions of the five GoM States. A statistically representative sample of participants is proposed for the new cohort studies, stratified to ensure proportional inclusion of urban and rural populations and with additional recruitment as necessary to enroll participants from particularly vulnerable or under-represented groups. Secondary data sources such as syndromic surveillance systems, electronic health records, national community surveys, environmental exposure databases, social media, and remote sensing will inform and augment the collection of primary data. Primary data sources will include participant-provided information via questionnaires, clinical measures of mental and physical health, acquisition of biological specimens, and wearable health monitoring devices. A suite of biomarkers may be derived from biological specimens for use in health assessments, including calculation of allostatic load, a measure of cumulative stress. The framework also addresses data management and sharing, participant retention, and system governance. The observing system is designed to continue indefinitely to ensure that essential pre-, during-, and post-disaster health data are collected and maintained. It could also provide a model/vehicle for effective health observation related to infectious disease pandemics such as COVID-19. To our knowledge, there is no comprehensive, disaster-focused health observing system such as the one proposed here currently in existence or planned elsewhere. Significant strengths of the GoM Community Health Observing System (CHOS) are its longitudinal cohorts and ability to adapt rapidly as needs arise and new technologies develop.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disasters / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Mexico Language: English Journal: Front Public Health Year: 2020 Document Type: Article Affiliation country: Fpubh.2020.578463

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disasters / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Mexico Language: English Journal: Front Public Health Year: 2020 Document Type: Article Affiliation country: Fpubh.2020.578463