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Cancer mortality in Serbia, 1991-2015: an age-period-cohort and joinpoint regression analysis 被引量:12
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作者 Milena Ilic Irena Ilic 《Cancer Communications》 SCIE 2018年第1期120-135,共16页
Background:As the result of dramatic political changes,civil wars,and a long-term refugee crisis from the end of the last to beginning of this century,the population of Serbia has experienced significant health proble... Background:As the result of dramatic political changes,civil wars,and a long-term refugee crisis from the end of the last to beginning of this century,the population of Serbia has experienced significant health problems.The aim of this study was to assess cancer mortality trends in Serbia.Methods:This nationwide study was carried out to analyze cancer mortality in Serbia during 1991-2015 using offi-cial data.The age-standardized mortality rates(per 100,000)were calculated by direct standardization,using the world standard population by Segi.The average annual percent change(AAPC)and corresponding 95%confidence interval(CI)were computed using joinpoint regression analysis.Age-period-cohort analysis was performed to address the possible underlying reasons for the observed temporal trends.Results:Over the 25-year study period,there were 466,075 cancer deaths(266,043 males and 200,032 females)in Serbia.Overall cancer mortality increased between 1991 and 2009 in both males(by+0.9%per year)and females(by+0.8%per year)and has been decreasing since then,by−0.9%annually in both sexes.For almost all major cancers except stomach cancer,cancer mortality in Serbia demonstrated upward trends during the study period.The largest increases were noted in lung cancer among females(AAPC=+3.7,95%CI 3.5-3.9)and prostate cancer in males(AAPC=+1.9,95%CI 1.4-2.3).Conclusions:After two decades of increase,cancer mortality rates are finally declining in Serbia.Despite this,these rates place Serbia among the countries with the highest cancer mortality in the world. 展开更多
关键词 CANCER MORTALITY TREND joinpoint regression analysis Age-period-cohort analysis
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Epidemic Evolution Trends and Spatiotemporal Clustering of Human Brucellosis in Xilingol League Inner Mongolia,from 2004 to 2023
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作者 Zhiguo Liu Miao Wang +3 位作者 Hao Tang Chuizhao Xue Zhenjun Li Canjun Zheng 《Biomedical and Environmental Sciences》 2025年第7期848-855,共8页
Objective Human brucellosis is a serious public health concern in the Xilingol League,Inner Mongolia;however,the epidemic trends are unclear.Method In this study,Joinpoint regression analysis and spatiotemporal analys... Objective Human brucellosis is a serious public health concern in the Xilingol League,Inner Mongolia;however,the epidemic trends are unclear.Method In this study,Joinpoint regression analysis and spatiotemporal analysis were applied to investigate the epidemic evolution of human brucellosis.Result From 2004 to 2023,a total of 35,747 cases were reported,with an annual average of 1787.35cases and an annual average incidence rate of 176.04/100,000.The incidence increased from 173.96/100,000 in 2004 to 500.71/100,000 in 2009 and fluctuated to 61.43/100,000 in 2023.Three epidemic join points were observed in which the disease experienced an alternative rise and fall,peaking in 2009(APC=21.73,P>0.001)and 2020(APC=21.51,P>0.001).The disease showed a persistent decline trend in lentitude(AAPC=–5.30,P>0.001),suggesting challenges in disease control and a higher risk of rebound.The most cases were reported in Xilinhot City(n=4,777),followed by 4,391 in Sonid Left Banner,and 4,324 in Abaga Banner.Spatiotemporal analysis revealed two high clusters(CI and CII)from 2005 to 2012,the high cluster encompassing eight counties and shifting from north to south.Conclusion The present analysis highlights that human brucellosis has decreased significantly in the Xilingol League,but the epidemic is still severe;further implementation of a strict control program is necessary. 展开更多
关键词 Human brucellosis EPIDEMIOLOGICAL joinpoint regression analysis Spatiotemporal analysis
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