Developing Large-Scale Research in Response to an Oil Spill Disaster: a Case Study

被引:0
|
作者
Richard K. Kwok
Aubrey K. Miller
Kaitlyn B. Gam
Matthew D. Curry
Steven K. Ramsey
Aaron Blair
Lawrence S. Engel
Dale P. Sandler
机构
[1] Epidemiology Branch,Department of Epidemiology
[2] National Institute of Environmental Health Sciences (NIEHS),undefined
[3] NIH,undefined
[4] Office of the Director,undefined
[5] NIEHS,undefined
[6] NIH,undefined
[7] Social & Scientific Systems,undefined
[8] Inc.,undefined
[9] Occupational and Environmental Epidemiology Branch,undefined
[10] Division of Cancer Epidemiology and Genetics,undefined
[11] National Cancer Institute,undefined
[12] NIH,undefined
[13] University of North Carolina Gillings School of Global Public Health,undefined
来源
关键词
Deepwater Horizon; Oil spill; Cohort studies; Epidemiologic research design; Disasters; Research strategy;
D O I
暂无
中图分类号
学科分类号
摘要
Research conducted in the wake of a disaster can provide information to help mitigate health consequences, support future recovery efforts, and improve resilience. However, a number of barriers have prevented time-sensitive research responses following previous disasters. Furthermore, large-scale disasters present their own special challenges due to the number of people exposed to disaster conditions, the number of groups engaged in disaster response, and the logistical challenges of rapidly planning and implementing a large study. In this case study, we illustrate the challenges in planning and conducting a large-scale post-disaster research study by drawing on our experience in establishing the Gulf Long-term Follow-up (GuLF) Study following the 2010 Deepwater Horizon disaster. We describe considerations in identifying at-risk populations and appropriate comparison groups, garnering support for the study from different stakeholders, obtaining timely scientific and ethics review, measuring and characterizing complex exposures, and addressing evolving community health concerns and unmet medical needs. We also describe the NIH Disaster Research Response (DR2) Program, which provides a suite of resources, including data collection tools, research protocols, institutional review board guidance, and training materials to enable the development and implementation of time-critical studies following disasters and public health emergencies. In describing our experiences related to the GuLF Study and the ongoing efforts through the NIH DR2 Program, we aim to help improve the timeliness, quality, and value of future disaster-related data collection and research studies.
引用
收藏
页码:174 / 187
页数:13
相关论文
共 50 条
  • [1] Developing Large-Scale Research in Response to an Oil Spill Disaster: a Case Study
    Kwok, Richard K.
    Miller, Aubrey K.
    Gam, Kaitlyn B.
    Curry, Matthew D.
    Ramsey, Steven K.
    Blair, Aaron
    Engel, Lawrence S.
    Sandler, Dale P.
    CURRENT ENVIRONMENTAL HEALTH REPORTS, 2019, 6 (03) : 174 - 187
  • [2] Large-scale oil spill simulation using the lattice Boltzmann method, validation on the Lebanon oil spill case
    Maslo, Aljaz
    Panjan, Joze
    Zagar, Dusan
    MARINE POLLUTION BULLETIN, 2014, 84 (1-2) : 225 - 235
  • [3] Developing and Implementing a Plan for Large-Scale Burn Disaster Response in New Jersey
    Conlon, Kathe M.
    Ruhren, Chris
    Johansen, Sandra
    Dimler, Margaret
    Frischman, Barbara
    Gehringer, Eileen
    Houng, Abraham
    Marano, Michael
    Petrone, Sylvia J.
    Mansour, E. Hani
    JOURNAL OF BURN CARE & RESEARCH, 2014, 35 (01): : E14 - E20
  • [4] Search and Rescue Response to a Large-Scale Rockfall Disaster
    Procter, Emily
    Strapazzon, Giacomo
    Balkenhol, Karla
    Fop, Ernst
    Faggionato, Alessandro
    Mayr, Karl
    Falk, Markus
    Brugger, Hermann
    WILDERNESS & ENVIRONMENTAL MEDICINE, 2015, 26 (01) : 68 - 71
  • [5] Effects of the 'Prestige' oil spill on macroalgal assemblages:: Large-scale comparison
    Lobon, Carla M.
    Fernandez, Consolacion
    Arrontes, Julio
    Rico, Jose M.
    Acuna, Jose L.
    Anadon, Ricardo
    Monteoliva, Jose Augusto
    MARINE POLLUTION BULLETIN, 2008, 56 (06) : 1192 - 1200
  • [6] Developing a Web-based system for large-scale environmental hydraulics problems with application to oil spill modeling
    Xie, H
    Yapa, PD
    JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2006, 20 (03) : 197 - 209
  • [7] Flying Communication Server in case of a Large-scale Disaster
    Kobayashi, Toru
    Matsuoka, Hiroaki
    Betsumiya, Shouta
    PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS (COMPSAC), VOL 2, 2016, : 571 - 576
  • [8] LARGE-SCALE AMMONIA SPILL TESTS
    GOLDWIRE, HC
    CHEMICAL ENGINEERING PROGRESS, 1986, 82 (04) : 35 - 41
  • [9] Optimizing Response Strategies of Healthcare System in a Large-scale Disaster
    Tantri, Fredy
    Amir, Sulfikar
    JOURNAL OF SAFETY SCIENCE AND RESILIENCE, 2022, 3 (04): : 288 - 301
  • [10] Developing a knowledge ecosystem for large-scale research infrastructure
    Radberg, Kamilla Kohn
    Lofsten, Hans
    JOURNAL OF TECHNOLOGY TRANSFER, 2023, 48 (01): : 441 - 467