Background:The China’s 1-3-7 strategy was initiated and extensively adopted in different types of counties(geographic regions)for reporting of malaria cases within 1 day,their confirmation and investigation within 3 ...Background:The China’s 1-3-7 strategy was initiated and extensively adopted in different types of counties(geographic regions)for reporting of malaria cases within 1 day,their confirmation and investigation within 3 days,and the appropriate public health response to prevent further transmission within 7 days.Assessing the level of compliance to the 1-3-7 strategy at the county level is a first step towards determining whether the surveillance and response strategy is happening according to plan.This study assessed if the time-bound targets of the 1-3-7 strategy were being sustained over time.Such information would be useful to improve implementation of the 1-3-7 strategy in China.Methods:This cross-sectional study involved country-wide programmatic data for the period January 1st 2013 to June 30th 2014.Data variables were extracted from the national malaria information system and included socio-demographic information,type of county,date of diagnosis,date of reporting,date of case investigation,case classification(indigenous,or imported,or unknown),focus investigation,date of reactive case detection(RACD),and date of indoor residual spraying(IRS).Summary statistics and proportions were used and comparisons between groups were assessed using the chi-square test.Level of significance was set at a P-value≤0.05.Results:Of a total of 5,688 malaria cases from 731 counties,there were 55(1%)indigenous cases(only in Type 1 and Type 2 counties)and 5,633(99%)imported cases from all types of counties.There was no delay in reporting malaria cases by type of county.In terms of case investigation,97.5%cases were investigated within 3 days with the proportion of delays(1.5%)in type 2 counties,being significantly lower than type 1 counties(4.1%).Regarding active foci,96.4%were treated by RACD and/or IRS.Conclusions:The performance of 1-3-7 strategy was encouraging but identified some challenges that if addressed can further improve implementation.展开更多
To strengthen border patrol measures, unmanned aerial vehicles(UAVs) are gradually used in many countries to detect illegal entries on borders. However, how to efficiently deploy limited UAVs to patrol on borders of l...To strengthen border patrol measures, unmanned aerial vehicles(UAVs) are gradually used in many countries to detect illegal entries on borders. However, how to efficiently deploy limited UAVs to patrol on borders of large areas remains challenging. In this paper, we first model the problem of deploying UAVs for border patrol as a Stackelberg game. Two players are considered in this game: The border patrol agency is the leader,who optimizes the patrol path of UAVs to detect the illegal immigrant. The illegal immigrant is the follower, who selects a certain area of the border to pass through at a certain time after observing the leader’s strategy. Second, a compact linear programming problem is proposed to tackle the exponential growth of the number of leader’s strategies. Third, a method is proposed to reduce the size of the strategy space of the follower. Then, we provide some theoretic results to present the effect of parameters of the model on leader’s utilities. Experimental results demonstrate the positive effect of limited starting and ending areas of UAV’s patrolling conditions and multiple patrolling altitudes on the leader ’s utility, and show that the proposed solution outperforms two conventional patrol strategies and has strong robustness.展开更多
文摘为提升并联式混合动力汽车(parallel hybrid electric vehicle,PHEV)的燃油经济性,针对等效燃油消耗最小控制策略(equivalent fuel consumption minimum strategy,ECMS)在不同工况下适应性差的问题,以优化整车等效燃油消耗量为目标,设计基于工况识别算法的变等效因子ECMS能量管理策略。选取3类典型工况建立支持向量机分类模型,通过递归特征消除法对样本特征进行选择,采用鲸鱼算法对支持向量机进行参数优化,使用模拟退火算法分别对3类工况的ECMS等效因子进行离线全局最优求解,并分别存储于等效因子库中,通过训练好的支持向量机分类器对目标优化工况进行工况识别,不同类型的工况片段采用不同的等效因子进行转矩分配。仿真结果显示:相比于逻辑门限能量管理策略,基于工况识别算法的变等效因子ECMS能量管理策略的电池荷电状态(state of charge,SOC)变化量减少8.67%,节油率为13.11%;相比于优化前的ECMS策略电池SOC变化量减少3.47%,节油率约为6.63%。本文提出的基于工况识别算法的变等效因子ECMS能量管理策略可以有效地减少燃油消耗量,提升PHEV的整车经济性。
基金This research was conducted through the Structured Operational Research and Training Initiative(SORT IT),a global partnership led by the Special Programme for Research and Training in Tropical Diseases at the World Health Organization(WHO/TDR).The model is based on a course developed jointly by the International Union Against Tuberculosis and Lung Disease(The Union)and Medécins sans Frontières(MSF).The specific SORT IT programme which resulted in this publication was jointly developed and implemented by:The Centre for Operational Research,The Union,Paris,FranceThe Operational Research Unit(LUXOR),Medécins Sans Frontières,Brussels Operational Center,Luxembourg+1 种基金The Union,South-East Asia Regional Office,New Delhi,Indiaand The Centre for International Health,University of Bergen,Norway The programme was supported and funded by Asia Pacific Malaria Elimination Network(APMEN,Grant 108-06),Bloomberg Philanthropies,The Union,MSF,the Department for International Development(DFID),UK and the World Health Organization.La Fondation Veuve Emile Metz-Tesch supported open access publications costs.The funders except for APMEN had no role in study design,data collection and analysis,decision to publish,or preparation of the manuscript.APMEN support the data collection and data analysis.
文摘Background:The China’s 1-3-7 strategy was initiated and extensively adopted in different types of counties(geographic regions)for reporting of malaria cases within 1 day,their confirmation and investigation within 3 days,and the appropriate public health response to prevent further transmission within 7 days.Assessing the level of compliance to the 1-3-7 strategy at the county level is a first step towards determining whether the surveillance and response strategy is happening according to plan.This study assessed if the time-bound targets of the 1-3-7 strategy were being sustained over time.Such information would be useful to improve implementation of the 1-3-7 strategy in China.Methods:This cross-sectional study involved country-wide programmatic data for the period January 1st 2013 to June 30th 2014.Data variables were extracted from the national malaria information system and included socio-demographic information,type of county,date of diagnosis,date of reporting,date of case investigation,case classification(indigenous,or imported,or unknown),focus investigation,date of reactive case detection(RACD),and date of indoor residual spraying(IRS).Summary statistics and proportions were used and comparisons between groups were assessed using the chi-square test.Level of significance was set at a P-value≤0.05.Results:Of a total of 5,688 malaria cases from 731 counties,there were 55(1%)indigenous cases(only in Type 1 and Type 2 counties)and 5,633(99%)imported cases from all types of counties.There was no delay in reporting malaria cases by type of county.In terms of case investigation,97.5%cases were investigated within 3 days with the proportion of delays(1.5%)in type 2 counties,being significantly lower than type 1 counties(4.1%).Regarding active foci,96.4%were treated by RACD and/or IRS.Conclusions:The performance of 1-3-7 strategy was encouraging but identified some challenges that if addressed can further improve implementation.
基金supported by the National Natural Science Foundation of China (71971075,71871079)the National Key Research and Development Program of China (2019YFE0110300)+1 种基金the Anhui Provincial Natural Science Foundation (1808085MG213)the Fundamental R esearch Funds for the Central Universities (PA2019GDPK0082)。
文摘To strengthen border patrol measures, unmanned aerial vehicles(UAVs) are gradually used in many countries to detect illegal entries on borders. However, how to efficiently deploy limited UAVs to patrol on borders of large areas remains challenging. In this paper, we first model the problem of deploying UAVs for border patrol as a Stackelberg game. Two players are considered in this game: The border patrol agency is the leader,who optimizes the patrol path of UAVs to detect the illegal immigrant. The illegal immigrant is the follower, who selects a certain area of the border to pass through at a certain time after observing the leader’s strategy. Second, a compact linear programming problem is proposed to tackle the exponential growth of the number of leader’s strategies. Third, a method is proposed to reduce the size of the strategy space of the follower. Then, we provide some theoretic results to present the effect of parameters of the model on leader’s utilities. Experimental results demonstrate the positive effect of limited starting and ending areas of UAV’s patrolling conditions and multiple patrolling altitudes on the leader ’s utility, and show that the proposed solution outperforms two conventional patrol strategies and has strong robustness.
