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
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