Studying the global distribution of infectious diseases using GIS and RS

被引:104
作者
Rogers, DJ
Randolph, SE
机构
[1] Univ Oxford, Dept Zool, TALA Res Grp, Oxford OX1 3PS, England
[2] Univ Oxford, Dept Zool, Oxford Tick Res Grp, Oxford OX1 3PS, England
关键词
D O I
10.1038/nrmicro776
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
West Nile virus, severe acute respiratory syndrome and monkeypox are infectious diseases that have recently been introduced into areas far from their region of origin. The greatest risk of new diseases comes from zoonoses - pathogens that circulate among wild animals and are occasionally transferred to humans by intermediate invertebrate hosts or vectors that are sensitive to climatic conditions. Analytical tools that are based on geographical information systems and that can incorporate remotely sensed information about the environment offer the potential to define the limiting conditions for any disease in its native region for which there are at least some distribution data. The direction, intensity or likelihood of its spread to new regions could then be predicted, potentially allowing disease earty-warning systems to be developed.
引用
收藏
页码:231 / 237
页数:7
相关论文
共 43 条
[1]  
Anderson RM., 1982, POPULATION DYNAMICS
[2]  
[Anonymous], TIME INTEGRATIVE GEO
[3]  
BENDAT J, 1968, RANDOM DATA ANAL MEA
[4]   Schistosomes, snails and satellites [J].
Brooker, S .
ACTA TROPICA, 2002, 82 (02) :207-214
[5]  
BURGDORFER W, 1982, SCIENCE, V220, P321
[6]  
*CDC, 2003, W NIL VIR 2002 CAS C
[7]  
*CDC DIV VECT BORN, 2003, W NIL VIR MOSQ ONL
[8]  
CLEAVER H, 2003, TICK BORNE ILLNESS I
[9]  
DANIELOVA V, 1997, PRAKT LEK, V77, P580
[10]  
Elliott Paul., 2000, SPATIAL EPIDEMIOLOGY