典型文献
Spatial-temporal Analysis of Tuberculosis at the Community Level in the Baoshan District, Shanghai 2014–2019
文献摘要：
Mycobacterium tuberculosis is the primary bacteria that leads to human tuberculosis (TB), which usually affects the pulmonary organs. TB is one of the top 10 causes of death worldwide;however, China is one of eight countries that together account for two-thirds of the total number of cases globally. The traditional analysis of TB is limited by discovering outbreaks or clusters in the spatial-temporal dimension[1]. The spatial-temporalanalysis could be a more effective method based on Monte Carlo statistics for detecting underlying outbreaks of TB at the community level, however, few studies have been conducted with the space-time scan analysis at the community level in China.
文献关键词：
中图分类号：
作者姓名：
MA Zhi Tao;WANG Na;HE Fan;LIU Xiao Feng;SHEN Xin
作者机构：
Department of Tuberculosis and HIV/AIDS Prevention, Baoshan Centers for Disease Control and Prevention, Baoshan 201901, Shanghai, China;Division of Tuberculosis and HIV/AIDS Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China;Shanghai Institutes of Preventive Medicine, Shanghai 200336, China
文献出处：
引用格式：
[1]MA Zhi Tao;WANG Na;HE Fan;LIU Xiao Feng;SHEN Xin-.Spatial-temporal Analysis of Tuberculosis at the Community Level in the Baoshan District, Shanghai 2014–2019)[J].生物医学与环境科学（英文版）,2022(05):458-462
A类：
temporalanalysis
B类：
Spatial,Analysis,Tuberculosis,Community,Level,Baoshan,District,Shanghai,Mycobacterium,tuberculosis,primary,bacteria,that,leads,human,TB,which,usually,affects,pulmonary,organs,one,top,causes,death,worldwide,however,China,eight,countries,together,account,two,thirds,total,number,cases,globally,traditional,limited,by,discovering,outbreaks,clusters,spatial,dimension,could,more,effective,method,Monte,Carlo,statistics,detecting,underlying,community,level,few,studies,have,been,conducted,space,scan
AB值：
0.632969
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