Applying Science: Opportunities to Inform Disease Management Policy with Cooperative Research within a One Health Framework

被引:7
|
作者
Blackburn, Jason K. [1 ,2 ]
Kracalik, Ian T. [1 ,2 ]
Fair, Jeanne Marie [3 ]
机构
[1] Univ Florida, Dept Geog, Spatial Epidemiol & Ecol Res Lab, Gainesville, FL 32611 USA
[2] Univ Florida, Emerging Pathogens Inst, Gainesville, FL 32611 USA
[3] Def Treat Reduct Agcy, Cooperat Biol Engagement Program, Ft Belvoir, VA USA
关键词
disease surveillance; disease modeling; anthrax; brucellosis; plague; tularemia; one health; LIVESTOCK ANTHRAX; UNITED-STATES; WEST TEXAS; BRUCELLOSIS; TULAREMIA; PATTERNS; EBOLA; SURVEILLANCE; OUTBREAK; UKRAINE;
D O I
10.3389/fpubh.2015.00276
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The ongoing Ebola outbreak in West Africa and the current saiga antelope die off in Kazakhstan each represent very real and difficult to manage public or veterinary health crises. They also illustrate the importance of stable and funded surveillance and sound policy for intervention or disease control. While these two events highlight extreme cases of infectious disease (Ebola) or (possible) environmental exposure (saiga), diseases such as anthrax, brucellosis, tularemia, and plague are all zoonoses that pose risks and present surveillance challenges at the wildlife-livestock human interfaces. These four diseases are also considered important actors in the threat of biological terror activities and have a long history as legacy biowarfare pathogens. This paper reviews recent studies done cooperatively between American and institutions within nations of the Former Soviet Union (FSU) focused on spatiotemporal, epidemiological, and ecological patterns of these four zoonoses. We examine recent studies and discuss the possible ways in which techniques, including ecological niche modeling, disease risk modeling, and spatiotemporal cluster analysis, can inform disease surveillance, control efforts, and impact policy. Our focus is to posit ways to apply science to disease management policy and actual management or mitigation practices. Across these examples, we illustrate the value of cooperative studies that bring together modern geospatial and epidemiological analyses to improve our understanding of the distribution of pathogens and diseases in livestock, wildlife, and humans. For example, ecological niche modeling can provide national level maps of pathogen distributions for surveillance planning, while space-time models can identify the timing and location of significant outbreak events for defining active control strategies. We advocate for the need to bring the results and the researchers from cooperative studies into the meeting rooms where policy is negotiated and use these results to inform future disease surveillance and control or eradication campaigns.
引用
收藏
页数:7
相关论文
共 39 条
  • [1] Applying the CAPE framework to measure equity and inform policy in computer science education
    Warner, Jayce R.
    Fletcher, Carol L.
    Martin, Nicole D.
    Baker, Stephanie N.
    POLICY FUTURES IN EDUCATION, 2022,
  • [2] Reviewing and applying qualitative research to inform management of chronic obstructive pulmonary disease
    Harrison, Samantha Louise
    CHRONIC RESPIRATORY DISEASE, 2019, 16
  • [3] Applying the NIA Health Disparities Research Framework to Identify Needs and Opportunities in Chronic Musculoskeletal Pain Research
    Patel, Monika
    Johnson, Alisa J.
    Booker, Staja Q.
    Bartley, Emily J.
    Palit, Shreela
    Powell-Roach, Keesha
    Terry, Ellen L.
    Fullwood, Dottington
    DeMonte, Lucas
    Mickle, Angela M.
    Sibille, Kimberly T.
    JOURNAL OF PAIN, 2022, 23 (01): : 25 - 44
  • [4] The Health Stigma and Discrimination Framework: a global, crosscutting framework to inform research, intervention development, and policy on health-related stigmas
    Anne L. Stangl
    Valerie A. Earnshaw
    Carmen H. Logie
    Wim van Brakel
    Leickness C. Simbayi
    Iman Barré
    John F. Dovidio
    BMC Medicine, 17
  • [5] The Health Stigma and Discrimination Framework: a global, crosscutting framework to inform research, intervention development, and policy on health-related stigmas
    Stangl, Anne L.
    Earnshaw, Valerie A.
    Logie, Carmen H.
    van Brakel, Wim
    Simbayi, Leickness C.
    Barre, Iman
    Dovidio, John F.
    BMC MEDICINE, 2019, 17 (1)
  • [6] Cooperative science to inform Lake Ontario management: Research from the 2013 Lake Ontario CSMI program
    Watkins, James M.
    Weidel, Brian C.
    Fisk, Aaron T.
    Rudstam, Lars G.
    JOURNAL OF GREAT LAKES RESEARCH, 2017, 43 (05) : 779 - 781
  • [7] Applying the Consolidated Framework for implementation research to agricultural safety and health: Barriers, facilitators, and evaluation opportunities
    Tinc, Pamela J.
    Gadomski, Anne
    Sorensen, Julie A.
    Weinehall, Lars
    Jenkins, Paul
    Lindvall, Kristina
    SAFETY SCIENCE, 2018, 107 : 99 - 108
  • [8] Applying the narrative policy framework to the issues surrounding hydraulic fracturing within the news media: A research note
    Blair, Benjamin D.
    McCormack, Larkin
    RESEARCH & POLITICS, 2016, 3 (01)
  • [9] Opportunities for linking research to policy: lessons learned from implementation research in sexual and reproductive health within the ANSERnetwork
    Ogbe, Emilomo
    Van Braeckel, Dirk
    Temmerman, Marleen
    Larsson, Elin C.
    Keygnaert, Ines
    Aragon, Wilson De los Reyes
    Cheng, Feng
    Lazdane, Gunta
    Cooper, Diane
    Shamu, Simukai
    Gichangi, Peter
    Dias, Sonia
    Barrett, Hazel
    Nobels, Anne
    Pei, Kaiyan
    Galle, Anna
    Esho, Tammary
    Knight, Lucia
    Tabana, Hanani
    Degomme, Olivier
    HEALTH RESEARCH POLICY AND SYSTEMS, 2018, 16
  • [10] Analysis of convergence between a unified One Health policy framework and imbalanced research portfolio
    Vors, Lisa
    Raboisson, Didier
    Lhermie, Guillaume
    DISCOVER PUBLIC HEALTH, 2024, 21 (01)