Objective To define TB control priorities using cost-effectiveness and burden of disease.Methods An assumed cohort of 2 000 cases was set up based on age-specific incidence of 794 newly registered smear-positive cas...Objective To define TB control priorities using cost-effectiveness and burden of disease.Methods An assumed cohort of 2 000 cases was set up based on age-specific incidence of 794 newly registered smear-positive cases in Beijing in1994.Prognostic trees and model diagrams of infectivity with natural history and DOTS intervention were constructed based on the epidemiological parameters.Results DOTS reduced 89.19% of YLL,78.90% of YLD,and 99.98% of infectivity BOD.One DALY could be saved with 45.70% Yuan by DOTS with 3% discount.Sensitivity analysis showed that discount had effect on CER.Weight of age was insensitive to CER.The higher the DOTS coured rate,the more the cost-effectiveness.Conclusions DOTS is a good cost-effectiveness TB control strategy.Cost-effectiveness and burden of disease can be used to define TB control priorities.展开更多
This study is aimed to estimate the epidemiological burden of dengue in Odisha,India using the disability adjusted life year(DALY)methods and to explore the associated factors in the year 2010-2016.During the period o...This study is aimed to estimate the epidemiological burden of dengue in Odisha,India using the disability adjusted life year(DALY)methods and to explore the associated factors in the year 2010-2016.During the period of 2010-2016,27772 cases(68.4%male)were reported in the state.Mean age(years)of male and female was 31.63 and 33.82,respectively.Mean district wise disability adjusted life years(DALY)per 100000 people was higher in the year 2016(0.45)and mean DALY lost per person was highest in the year 2015(34.90 years).Adjusted regression model indicates,every unit increase in humidity and population density increases DALY by 1.05 and 1.02 units respectively.Whereas,unit change in sex ratio(females per 1000 males)and forest coverage increases the DALY by 0.98 units.Our results indicate geographical variation of DALY in Odisha,which is associated with population density,humidity and forest cover.Discrepancies identified between standard incidence and DALY maps suggests,latter can be used to present disease burden more effectively.More prevalence among young males suggests the need of strengthening the targeted prevention and control measures.展开更多
文摘Objective To define TB control priorities using cost-effectiveness and burden of disease.Methods An assumed cohort of 2 000 cases was set up based on age-specific incidence of 794 newly registered smear-positive cases in Beijing in1994.Prognostic trees and model diagrams of infectivity with natural history and DOTS intervention were constructed based on the epidemiological parameters.Results DOTS reduced 89.19% of YLL,78.90% of YLD,and 99.98% of infectivity BOD.One DALY could be saved with 45.70% Yuan by DOTS with 3% discount.Sensitivity analysis showed that discount had effect on CER.Weight of age was insensitive to CER.The higher the DOTS coured rate,the more the cost-effectiveness.Conclusions DOTS is a good cost-effectiveness TB control strategy.Cost-effectiveness and burden of disease can be used to define TB control priorities.
基金This study was financially supported by the PHRI-Research Grant awarded by Public Health Foundation of India with the financial support from Department of Science and Technology,Government of India(No.IN-DL220960833674480).
文摘This study is aimed to estimate the epidemiological burden of dengue in Odisha,India using the disability adjusted life year(DALY)methods and to explore the associated factors in the year 2010-2016.During the period of 2010-2016,27772 cases(68.4%male)were reported in the state.Mean age(years)of male and female was 31.63 and 33.82,respectively.Mean district wise disability adjusted life years(DALY)per 100000 people was higher in the year 2016(0.45)and mean DALY lost per person was highest in the year 2015(34.90 years).Adjusted regression model indicates,every unit increase in humidity and population density increases DALY by 1.05 and 1.02 units respectively.Whereas,unit change in sex ratio(females per 1000 males)and forest coverage increases the DALY by 0.98 units.Our results indicate geographical variation of DALY in Odisha,which is associated with population density,humidity and forest cover.Discrepancies identified between standard incidence and DALY maps suggests,latter can be used to present disease burden more effectively.More prevalence among young males suggests the need of strengthening the targeted prevention and control measures.
