Potential for Hydroclimatically Driven Shifts in Infectious Disease Outbreaks: The Case of Tularemia in High-Latitude Regions

被引:9
作者
Ma, Yan [1 ,2 ]
Bring, Arvid [1 ,2 ]
Kalantari, Zahra [1 ,2 ]
Destouni, Georgia [1 ,2 ]
机构
[1] Stockholm Univ, Dept Phys Geog, S-10691 Stockholm, Sweden
[2] Stockholm Univ, Bolin Ctr Climate Res, S-11419 Stockholm, Sweden
基金
瑞典研究理事会;
关键词
hydroclimatic change; infectious disease; tularemia; critical thresholds; high-latitude regions; Arctic; CLIMATE-CHANGE; WEATHER; IMPACT; VARIABILITY; PERMAFROST; EUROPE; VIRUS;
D O I
10.3390/ijerph16193717
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Hydroclimatic changes may be particularly pronounced in high-latitude regions and can influence infectious diseases, jeopardizing regional human and animal health. In this study, we consider the example of tularemia, one of the most studied diseases in high-latitude regions, which is likely to be impacted by large regional hydroclimatic changes. For this disease case, we use a validated statistical model and develop a method for quantifying possible hydroclimatically driven shifts in outbreak conditions. The results show high sensitivity of tularemia outbreaks to certain combinations of hydroclimatic variable values. These values are within the range of past regional observations and may represent just mildly shifted conditions from current hydroclimatic averages. The methodology developed also facilitates relatively simple identification of possible critical hydroclimatic thresholds, beyond which unacceptable endemic disease levels may be reached. These results call for further research on how projected hydroclimatic changes may affect future outbreaks of tularemia and other infectious diseases in high-latitude and other world regions, with particular focus on critical thresholds to high-risk conditions. More research is also needed on the generality and spatiotemporal transferability of statistical disease models.
引用
收藏
页数:11
相关论文
共 44 条
[1]   Climate Change and Infectious Diseases: From Evidence to a Predictive Framework [J].
Altizer, Sonia ;
Ostfeld, Richard S. ;
Johnson, Pieter T. J. ;
Kutz, Susan ;
Harvell, C. Drew .
SCIENCE, 2013, 341 (6145) :514-519
[2]   Strategic environmental assessment and monitoring: Arctic key gaps and bridging pathways [J].
Azcarate, Juan ;
Balfors, Berit ;
Bring, Arvid ;
Destouni, Georgia .
ENVIRONMENTAL RESEARCH LETTERS, 2013, 8 (04)
[3]  
Baker-Austin C, 2013, NAT CLIM CHANGE, V3, P73, DOI [10.1038/NCLIMATE1628, 10.1038/nclimate1628]
[4]   Climate Change Influences on Marine Infectious Diseases: Implications for Management and Society [J].
Burge, Colleen A. ;
Eakin, C. Mark ;
Friedman, Carolyn S. ;
Froelich, Brett ;
Hershberger, Paul K. ;
Hofmann, Eileen E. ;
Petes, Laura E. ;
Prager, Katherine C. ;
Weil, Ernesto ;
Willis, Bette L. ;
Ford, Susan E. ;
Harvell, C. Drew .
ANNUAL REVIEW OF MARINE SCIENCE, VOL 6, 2014, 6 :249-277
[5]  
Callaghan TV, 2004, AMBIO, V33, P404, DOI 10.1639/0044-7447(2004)033[0404:BDAAOA]2.0.CO
[6]  
2
[7]   Modeling the impact of climate variability on diarrhea-associated diseases in Taiwan (1996-2007) [J].
Chou, Wei-Chun ;
Wu, Jiunn-Lin ;
Wang, Yu-Chun ;
Huang, Hsin ;
Sung, Fung-Chang ;
Chuang, Chun-Yu .
SCIENCE OF THE TOTAL ENVIRONMENT, 2010, 409 (01) :43-51
[8]  
Destouni G, 2013, NAT CLIM CHANGE, V3, P213, DOI [10.1038/nclimate1719, 10.1038/NCLIMATE1719]
[9]  
Desvars-Larrive A, 2017, EPIDEMIOL INFECT, V145, P482, DOI [10.1017/S0950268816002478, 10.1017/s0950268816002478]
[10]   Confronting Weather and Climate Models with Observational Data from Soil Moisture Networks over the United States [J].
Dirmeyer, Paul A. ;
Wu, Jiexia ;
Norton, Holly E. ;
Dorigo, Wouter A. ;
Quiring, Steven M. ;
Ford, Trenton W. ;
Santanello, Joseph A., Jr. ;
Bosilovich, Michael G. ;
Ek, Michael B. ;
Koster, Randal D. ;
Balsamo, Gianpaolo ;
Lawrence, David M. .
JOURNAL OF HYDROMETEOROLOGY, 2016, 17 (04) :1049-1067