摘要
目的:
1、评价以控制传染源为主的血吸虫病综合防治策略的近期效果,为进一步制订和调整血吸虫病防治的目标和重点提供理论依据;
2、分析居民血吸虫感染率的短期变化趋势,为血吸虫感染率短期预测提供简便易行的方法学依据;
3、构建血吸虫病疫情监测与预警指标体系,为我国血吸虫病疫情监测和预警系统的建设提供参考;
4、探讨提高血吸虫病疫情监测与预警水平的策略和措施,为我国血吸虫病防治工作提供策略支持。
方法:
1、应用描述流行病学方法,分析湖北省潜江市2005-2010年和阳新县2000-2009年两个国家级血吸虫病监测点血吸虫病的流行情况;
2、应用时间序列ARIMA模型和灰色预测模型对潜江市1956-2010年居民血吸虫感染率进行拟合,预测居民血吸虫感染率短期变化趋势;
3、通过文献学习和资料查阅,形成专家咨询表,收集专家意见,应用Delphi法和层次分析法,筛选指标并确定其内部权重;
4、应用SWOT法分析血吸虫病疫情监测与预警工作所处的内部和外部环境,并提出相应的策略和措施。
结果:
1、潜江市和阳新县监测点居民血吸虫感染率已分别降至0.41%和2.18%,粪检阳性率有逐年降低的趋势,其中农民和男性仍然是血吸虫感染的高危人群;两监测点耕牛血吸虫感染率已分别降至1.96%和1.67%,但家畜敞放的情况仍普遍存在;两监测点钉螺感染率已分别降至0.00%和0.24%,但有螺面积压缩不明显。
2、所构建的时间序列ARIMA(1,1,0)模型和灰色预测模型拟合效果较好,预测精度较高,血吸虫感染率实际值均在预测值的95%可信区间内;两模型短期预测结果均显示未来两年潜江市居民血吸虫感染率将略有降低。
3、血吸虫病疫情监测与预警指标体系包括5个一级指标、15个二级指标和48个三级指标。其中“血防干预措施”一级指标权重最大,组合权重系数排在前列的指标分别为人群感染率、上年急感人数及耕牛感染率所属的传染源疫情影响因素指标以及疫情发生及报告的疫情动态指标,与实际情况相符。协调系数检验结果显示所建立的指标体系有较高的权威性和可靠性。
4、我国血吸虫病疫情监测与预警工作所面临的优势和机会分别为监测力度大和国家重视,所面临的劣势和威胁分别为无完善的监测与预警体系和当前严峻的血防形势。
结论:
1、湖北省血吸虫病疫情得到有效控制,以控制传染源为主的血吸虫病综合防治策略效果明显;
2、时间序列ARIMA模型和灰色预测模型预测精度较好,可应用于血吸虫感染率的短期预测分析中;
3、所构建的血吸虫病疫情监测与预警指标体系可在进一步实证分析和修订后应用于我国血吸虫病疫情监测与预警工作中;
4、我国血吸虫病疫情监测与预警水平仍有待进一步提高,我国血防工作者应审时度势、把握机会、扬长避短,提高我国血防工作能力。
创新点:
1、首次应用时间序列和灰色预测模型对湖北省血吸虫病疫情进行了预测分析,为湖北省今后血防工作重点的确定和策略的调整提供科学依据;
2、在国内首次构建了血吸虫病疫情监测与预警指标体系,为国家或地区血吸虫病暴发或流行的定量风险评估打下基础;
3、将SWOT分析法首次应用于提高我国血吸虫病监测与预警水平的策略探讨中,为我国实现消灭血吸虫病的最终目标提供策略支持。
Objectives
1. To evaluate the epidemic situation of schistosomiasis and the recent effect of the comprehensive schistosomiasis control program focusing on the main transmission cycles and reservoirs in order to further adjust the targets for schistosomiasis control and provide the theoretical basis for future schistosomiasis control strategies in China.
2. To analysis the short-term change trend of the residents' infection rates of schistosomiasis so as to provide the methodological basis for short-term forecasting the infection rates of schistosomiasis.
3. To establish the indicator system for schistosomiasis monitoring and early warning in order to put forward the effective references for the implementation of schistosomiasis monitoring and early warning system in China.
4. To explore the strategies and intervention measures for improving the ability of schistosomiasis monitoring and early warning so as to provide the strategic support for schistosomiasis control in China.
Methods
1. Using descriptive epidemiological methods to analysis the longitudinal surveillance data of two national schistosomiasis surveillance sites, including Qianjiang City from 2005 to 2010 and Yangxin County from 2000 to 2009.
2. Time series ARIMA model and grey model (1,1) were constructed to forecast the short-term change trend of the residents'infection rates of schistosomiasis using the annual report data from 1956 to 2010 in Qianjiang City.
3. Literature review and data collection were used to form the questionnaire for expert consulting and opinion collection, then the methods of Delphi and the Analytic Hierarchy Process (AHP) were applied to screen the indicators and determine their internal weights for establishing schistosomiasis monitoring and early warning indicator system.
4. SWOT analysis was used to explore the internal and external impact factors for improving the ability of schistosomiasis monitoring and early warning in China and putting forward corresponding strategies and intervention measures.
Results
1. The residents'infection rates of schistosomiasis in Qianjiang City and Yangxin County had decreased to 0.41% and 2.18%, respectively. The residents' parasitological prevalence of schistosomiasis decreased year by year (P for Cochran-Armitage trendχ2test was less than 0.05) and the farmers and males were still at high risk of schistosomiasis infection. The prevalence of cattle in two national surveillance sites of Qianjiang City and Yangxin County also decreased to 1.96% and 1.67%, respectively, but the situation of gracing of cattle in the grasslands was still very widespread. Additionally, the percentage of infected snails in two national surveillance sites of Qianjiang City and Yangxin County had dropped to 0.00% and 0.24%, respectively, whereas the total area of snail habitats was not obviously and effectively compressed.
2. Time series ARIMA (1,1,0) model and grey prediction model were well fitted to the data of schistosomiasis infection. These two models were proved to be reasonable models with relatively high prediction accuracy. The actual values of schistosomiasis infection rates were all in the 95% confidence interval of the predictive values. The prediction results showed that the residents'schistosomiasis infection rates in Qianjiang City would continue to decrease slightly in the next two years.
3. The indicator system for schistosomiasis epidemic situation monitoring and early warning included 5 first-level indicators,15 second-level indicators and 48 third-level indicators. Among these indicators, the first-level indicator of "schistosomiasis intervention measures" had the largest weight. The most important indicators in this indicator system included the impact factors of epidemic situation, such as the schistosomiasis infection rates of humans, the number of acute schistosomiasis infection last year and the schistosomiasis infection rates of cattle, and indicators of schistosomiasis epidemic situation outbreak and report, which were in accordance with the actual situation. The results of coordination coefficient test showed that the indicator system we established had high quality of authority and reliability.
4. The advantages and opportunites for improving the ability of schistosomiasis monitoring and early warning in China were greater efforts on monitoring and the whole nation's attention, whereas no comprehensive monitoring and early warning system for schistosomiasis and the current severe situation of schistosomiasis in China were still the shortages and threats that we must face.
Conclusions
1. An integrated schistosomiasis control strategy focusing on the main transmission cycles and reservoirs which combines with chemotherapy, infrastructure interventions, health education and robust surveillance is feasible for effectively controlling schistosomiasis in China.
2. Time series ARIMA model and grey model have showed high quality prediction accuracy. We can choose proper model for short-term forecasting of schistosomiasis according to the actual needs in the daily work of schistosomiasis control.
3. The indicator system for schistosomiasis epidemic situation monitoring and early warning we have established could be used in the actual daily work after further verifying and amending.
4. The ability of schistosomiasis monitoring and early warning in China still need to be improved and the workers of schistosomiasis control must judge the hour and size up the situation, seize the opportunies, adopt the good points and avoid the shortages so as to enhance the capacity of schistosomiasis control in China.
Innovations
1. Time series ARIMA model and grey prediction model were first applied to forecast the short-term change trend of the residents'infection rates of schistosomiasis in Qianjiang City of Hubei Province, which could provide the scientific basis for determining the priorities adjusting the targets for schistosomiasis control and provide the theoretical basis for future schistosomiasis control strategies in Hubei Province.
2. The indicator system was first established for schistosomiasis monitoring and early warning, which could provide a solid basis for the quantitative risk assessment of regional schistosomiasis outbreak or epidemic in China.
3. A SWOT analysis was first used in the dicussion of strategies for improving the ability of schistosomiasis monitoring and early warning, which could provide strategic support for achieving the ultimate goal of schistosomiasis elimination in China.
引文
[1]Wang LD, Guo JG, Wu XH, et al. China's new strategy to block Schistosoma japonicum transmission:experiences and impact beyond schistosomiasis. Trop Med Int Health,2009,14(12):1475-1483.
[2]Zhou XN, Guo JG, Wu XH, et al. Epidemiology of schistosomiasis in the People's Republic of China,2004. Emerg Infect Dis,2007,13(10):1470-1476.
[3]周晓农,姜庆五,吴晓华,等.我国控制和消灭血吸虫病标准的作用与演变.中国血吸虫病防治杂志,2007,19(1):1-4.
[4]任光辉主编.临床血吸虫病学.北京:人民卫生出版社,2009:1-91,732-751.
[5]Steinmann P, Keiser J, Bos R, et al. Schistosomiasis and water resources development:systematic review, meta-analysis, and estimates of people at risk. Lancet Infect Dis,2006,6(7):411-425.
[6]Colley DG, Secor WE. A schistosomiasis research agenda PLoS Negl Trop Dis, 2007,1(2):e32.
[7]Fenwick A. Waterborne infectious diseases--could they be consigned to history? Science,2006,313(5790):1077-1081.
[8]WHO. Schistosomiasis:number of people treated in 2009 Weekly Epidemiology Record (WER),25 February 2011,86:73-80 http://www.who.int/wer/2011/ wer8609/en/index.html.
[9]周晓农主编.全球血吸虫病防治研究进展与展望,世界卫生组织血吸虫病科学工作组报告.北京:人民卫生出版社,2008:1-43,76-99.
[10]贾铁武,姚嘉文,邓瑶,等.血吸虫病疾病负担的量化.热带病与寄生虫学,2008,6(2):117-120.
[11]Jia TW, Zhou XN, Wang XH, et al. Assessment of the age-specific disability weight of chronic schistosomiasis japonica. Bull World Health Organ,2007, 85(6):458-465.
[12]King CH, Dickman K, Tisch DJ. Reassessment of the cost of chronic helmintic infection:a meta-analysis of disability-related outcomes in endemic schistosomiasis. Lancet,2005,365(9470):1561-1569.
[13]Bethony JM, Loukas A. The schistosomiasis research agenda-what now? PLoS Negl Trop Dis,2008,2(2):e207.
[14]Conteh L, Engels T, Molyneux DH. Socioeconomic aspects of neglected tropical diseases. Lancet,2010,375(9710):239-247.
[15]Taylor M. Global trends in schistosomiasis control. Bull World Health Organ, 2008,86(10):738.
[16]Utzinger J, Raso G, Brooker S, et al. Schistosomiasis and neglected tropical diseases:towards integrated and sustainable control and a word of caution. Parasitology,2009,136(13):1859-1874.
[17]Proceedings of the 10th International Symposium on Schistosomiasis,25-28 September 2005, Belo Horizonte, Brazil. Mem Inst Oswaldo Cruz,2006,101 Suppl 1:1-372.
[18]Wang LD, Chen HG, Guo JG, et al. A strategy to control transmission of Schistosoma japonicum in China N Engl J Med,2009,360(2):121-128.
[19]Fenwick A, Rollinson D, Southgate V. Implementation of human schistosomiasis control:Challenges and prospects. Adv Parasitol,2006,61:567-622.
[20]Amaral RS, Tauil PL, Lima DD, et al. An analysis of the impact of the Schistosomiasis Control Programme in Brazil. Mem Inst Oswaldo Cruz,2006, 101 Suppl 1:79-85.
[21]Barbosa CS, Araujo KC, Sevilla MA, et al. Current epidemiological status of schistosomiasis in the state of Pernambuco, Brazil. Mem Inst Oswaldo Cruz, 2010,105(4):549-554.
[22]Schistosomiasis. Wkly Epidemiol Rec,2010,85(18):158-164.
[23]Aagaard-Hansen J, Mwanga JR, Bruun B. Social science perspectives on schistosomiasis control in Africa:past trends and future directions. Parasitology, 2009,136(13):1747-1758.
[24]Garba A, Toure S, Dembele R, et al. Implementation of national schistosomiasis control programmes in West Africa Trends Parasitol,2006,22(7):322-326.
[25]Zhou D, Li Y, Yang X. Schistosomiasis control in China World Health Forum, 1994,15(4):387-389.
[26]周晓农,姜庆五,孙乐平,等.我国血吸虫病防治与监测.中国血吸虫病防治杂志,2005,17(3):161-165.
[27]Cioli D, Pica-Mattoccia L. Praziquantel. Parasitol Res,2003,90 Supp 1:S3-9.
[28]郭家纲.中国血吸虫病综合治理的历史与现状.中华预防医学杂志,2006,40(4):225-228.
[29]杨国静主译.血吸虫病及血吸虫病防治的社会学——导论与文献评析.北京:人民卫生出版社,2010:7-122.
[30]Chitsulo L, Engels D, Montresor A, et al. The global status of schistosomiasis and its control. Acta Trop,2000,77(1):41-51.
[31]WHO. World Health Assembly endorses WHO's strategic priorities. Geneva, 2001, http://www.who.int/inf-pr-2001/en/pr2001 WHA-6.html.
[32]WHO. Prevention and control of schistosomiasis and soil-transmitted helminthiasis:report of a WHO expert committee. WHO Tech. Rep. Ser. No.912. World Health Organization, Geneva,2002, http://whqlibdoc.who.int/trs/WHO_TRS_912.pdf.
[33]Fenwick A, Webster JP. Schistosomiasis:challenges for control, treatment and drug resistance. Curr Opin Infect Dis,2006,19(6):577-582.
[34]Rollinson D. A wake up call for urinary schistosomiasis:reconciling research effort with public health importance. Parasitology,2009,136(12):1593-1610.
[35]Stothard JR, Chitsulo L, Kristensen TK, et al. Control of schistosomiasis in sub-Saharan Africa:progress made, new opportunities and remaining challenges. Parasitology,2009,136(13):1665-1675.
[36]Savioli L, Gabrielli AF, Montresor A, et al. Schistosomiasis control in Africa:8 years after World Health Assembly Resolution 54.19. Parasitology,2009, 136(13):1677-1681.
[37]Fleming FM, Fenwick A, Tukahebwa EM, et al. Process evaluation of schistosomiasis control in Uganda,2003 to 2006:perceptions, attitudes and constraints of a national programme. Parasitology,2009,136(13):1759-1769.
[38]Zhou XN, Wang LY, Chen MG, et al. The public health significance and control of schistosomiasis in China--then and now. Acta Trop,2005,96(2-3):97-105.
[39]王颖主编.我国血吸虫病预防控制规范化管理研究.上海:世界图书出版公司,2009:9-22.
[40]Bian Y, Sun Q, Zhao Z, et al. Market reform:a challenge to public health--the case of schistosomiasis control in China Int J Health Plann Manage,2004,19 Suppl 1:S79-94.
[41]Balen J, Zhao ZY, Williams GM, et al. Prevalence, intensity and associated morbidity of Schistosoma japonicum infection in the Dongting Lake region, China Bull World Health Organ,2007,85(7):519-526.
[42]Xiao SH, Keiser J, Chen MG, et al. Research and development of antischistosomal drugs in the People's Republic of China a 60-year review. Adv Parasitol,2010,73:231-295.
[43]朱蓉,郭家纲.吡喹酮化疗在血吸虫病防治中的作用.中国血吸虫病防治杂志,2009,21(2):154-157.
[44]Chen MG. Progress and problems in schistosomiasis control in China Trop Med Parasitol,1989,40(2):174-176.
[45]Zhou YB, Zhao GM, Jiang QW. Effects of the praziquantel-based control of schistosomiasis japonica in China Ann Trop Med Parasitol,2007,101(8): 695-703.
[46]Chen M. Progress in schistosomiasis control in China Chin Med J (Engl),1999, 112(10):930-933.
[47]周艺彪,姜庆五,赵根明,等.化疗控制人群感染日本血吸虫病的效果分析.中华流行病学杂志,2004,25(12):1024-1027.
[48]朱蓉,党辉,张利娟,等.2005-2008年全国血吸虫病疫情监测.中国血吸虫 病防治杂志,2009,21(5):358-362.
[49]Chen MG. Use of praziquantel for clinical treatment and morbidity control of schistosomiasis japonica in China:a review of 30 years' experience. Acta Trop, 2005,96(2-3):168-176.
[50]Zhao GM, Zhao Q, Jiang QW, et al. Surveillance for schistosomiasis japonica in China from 2000 to 2003. Acta Trop,2005,96(2-3):288-295.
[51]全国预防控制血吸虫病中长期规划纲要(2004-2015年).中华人民共和国国务院公报,2004(26):8-13.
[52]吴晓华,许静,李石柱,等.2008年全国血吸虫病潜在流行区监测预警报告.中国血吸虫病防治杂志,2009,21(5):353-357.
[53]林丹丹,吴晓华,姜庆五,等.我国血吸虫病防治研究的战略思考重点.中国血吸虫病防治杂志,2009,21(1):1-4.
[54]国务院办公厅关于进一步做好血吸虫病传染源控制工作的通知.中华人民共和国国务院公报,2007(34):29-30.
[55]汪天平,操治国,陈红根,等.实现防治策略转变,加快血防工作进程.中国血吸虫病防治杂志,2009,21(4):241-242.
[56]中华人民共和国卫生部.GB15976-2006血吸虫病控制和消灭标准.北京:人民卫生出版社,2007:1-6.
[57]郝阳,易冬华,张险峰,等.2008年全国血吸虫病疫情控制考核评估报告.中国血吸虫病防治杂志,2009,21(6):457-463.
[58]涂祖武,黄希宝,蔡顺祥,等.湖北省2009年血吸虫病疫情控制考核评估.公共卫生与预防医学,2010,21(3):14-17.
[59]周晓农.我国血吸虫病的监测与预警.中国血吸虫病防治杂志,2009,21(5):341-344.
[60]Brooker S. Spatial epidemiology of human schistosomiasis in Africa:risk models, transmission dynamics and control. Trans R Soc Trop Med Hyg,2007,101(1): 1-8.
[61]Zhang ZJ, Ong SH, Lynn HS, et al. Generalized negative binomial distribution:a promising statistical distribution for Oncomelania hupensis in the lake-and marsh-land regions of China Ann Trop Med Parasitol,2008,102(6):541-552.
[62]Guimaraes RJ, Freitas CC, Dutra LV, et al. Schistosomiasis risk estimation in Minas Gerais State, Brazil, using environmental data and GIS techniques. Acta Trop,2008,108(2-3):234-241.
[63]Mangal TD, Paterson S, Fenton A. Predicting the impact of long-term temperature changes on the epidemiology and control of schistosomiasis:a mechanistic model. PLoS ONE,2008,3(1):e1438.
[64]Seto EY, Wu W, Liu HY, et al. Impact of changing water levels and weather on Oncomelania hupensis hupensis populations, the snail host of Schistosoma japonicum, downstream of the Three Gorges Dam. Ecohealth,2008,5(2): 149-158.
[65]Yang J, Zhao Z, Li Y, et al. A multi-level analysis of risk factors for Schistosoma japonicum infection in China Int J Infect Dis,2009,13(6):e407-412.
[66]Allen EJ, Victory HD, Jr. Modelling and simulation of a schistosomiasis infection with biological control. Acta Trop,2003,87(2):251-267.
[67]Blas BL, Lipayon IL, Tormis LC, et al. An attempt to study the economic loss arising from Schistosoma japonicum infection and the benefits derived from treatment Southeast Asian J Trop Med Public Health,2006,37(1):26-32.
[68]Boelee E, Laamrani H. Environmental control of schistosomiasis through community participation in a Moroccan oasis. Trop Med Int Health,2004,9(9): 997-1004.
[69]Fan K, Lai H. Mao Zedong's fight against schistosomiasis. Perspect Biol Med, 2008,51(2):176-187.
[70]Engels D, Wang LY, Palmer KL. Control of schistosomiasis in China. Acta Trop, 2005,96(2-3):67-68.
[71]Chen H, Lin D. The prevalence and control of schistosomiasis in Poyang Lake region, China Parasitol Int,2004,53(2):115-125.
[72]王陇德,周晓农,陈红根,等.血吸虫病控制新策略的研究.中国工程科学,2009,11(5):37-43.
[73]苏正明,何汇,范宏萍,等.2008年湖北省血吸虫病疫情监测结果分析.中国病原生物学杂志,2009,4(9):672-674.
[74]张利娟,朱蓉,党辉,等.2008年全国血吸虫病疫情监测.中国血吸虫病防治杂志,2009,21(6):477-481.
[75]何汇,苏正明,涂祖武,等.2009年湖北省血吸虫病疫情监测结果分析.热带医学杂志,2010,10(10):1243-1245.
[76]Morenikeji OA, Azubike NC, Ige AO. Prevalence of intestinal and vector-borne urinary parasites in communities in south-west Nigeria J Vector Borne Dis,2009, 46(2):164-167.
[77]曹淳力,郭家纲.流动人口血吸虫病监测方法的评价.中华预防医学杂志,2006,40(4):223-224.
[78]黄少玉.流动人口血吸虫病的管理与监测.中国血吸虫病防治杂志,2009,21(1):76-77.
[79]张玉其,徐乾成,王正才,等.湖沼垸内型流行区外出人员血吸虫感染调查.中国血吸虫病防治杂志,2008,20(6):454-456.
[80]靳艳军,蔡黎,孙彩英,等.上海市流动人口血吸虫病血清流行病学调查.热带医学杂志,2010,10(8):999-1001.
[81]Ellis MK, McManus DP. Familial aggregation of human helminth infection in the Poyang lake area of China with a focus on genetic susceptibility to schistosomiasis japonica and associated markers of disease. Parasitology,2009, 136(7):699-712.
[82]潘丽红,何结宝,汪学龙.我国血吸虫病健康教育现状分析.华北煤炭医学院学报,2010,12(2):238-239.
[83]Guo JG, Cao CL, Hu GH, et al. The role of 'passive chemotherapy' plus health education for schistosomiasis control in China during maintenance and consolidation phase. Acta Trop,2005,96(2-3):177-183.
[84]Hu GH, Hu J, Song KY, et al. The role of health education and health promotion in the control of schistosomiasis:experiences from a 12-year intervention study in the Poyang Lake area Acta Trop,2005,96(2-3):232-241.
[85]王建平,叶昀,周平,等.血吸虫流行区学校健康教育效果评价.热带病与寄生虫学,2007,5(3):168-170.
[86]王陇德.中国控制血吸虫病流行的关键是管理好人畜粪便.中华流行病学杂志,2005,26(12):929-930.
[87]李小平,刘建兵,黄希宝,等.湖北省2008年国家监测点血吸虫病疫情监测结果分析.公共卫生与预防医学,2009,20(6):9-12.
[88]Hong QB, Yang K, Huang YX, et al. Effectiveness of a comprehensive schistosomiasis japonica control program in Jiangsu province, China, from 2005 to 2008. Acta Trop,2010 Dec 11. [Epub ahead of print]
[89]Zhou XN, Yang GJ, Yang K, et al. Potential impact of climate change on schistosomiasis transmission in China Am J Trop Med Hyg,2008,78(2): 188-194.
[90]周晓农主编.实用钉螺学.北京:科学出版社,2005:249-267.
[91]马巍,廖文根,匡尚富,等.钉螺适宜孳生地环境与水情变化响应关系研究.长江科学院院报,2010,27(10):65-69.
[92]Zhu HM, Xiang S, Yang K, et al. Three Gorges Dam and its impact on the potential transmission of schistosomiasis in regions along the Yangtze River. Ecohealth,2008,5(2):137-148.
[93]黄重峰,邹节新,李枢强,等.我国钉螺控制研究在血吸虫病防治中的应用.中国人兽共患病学报,2010,26(10):963-965,973.
[94]Curtale F, Mohamed MY, Youssef ZM. Comprehensive primary health care, a viable strategy for the elimination of schistosomiasis. Trans R Soc Trop Med Hyg,104(1):70-72.
[95]郑江.我国血吸虫病防治的成就及面临的问题.中国寄生虫学与寄生虫病杂志,2009,27(5):398-401.
[96]王陇德.认真贯彻条例,促进我国血吸虫病防治策略的转变.中华预防医学杂志,2006,40(4):219-220.
[97]刘思峰,党耀国主编.预测方法与技术.北京:人民卫生出版社,2005:1-17,73-327.
[98]李华,胡奇英主编.预测与决策.西安:西安电子科技大学出版社,2005:26-36.
[99]宁宣熙,刘思峰主编.管理预测与决策方法.北京:科学出版社,2003:1-10,82-145.
[100]刘思峰,党耀国主编.预测方法与技术.北京:高等教育出版社,2005:1-17,73-327.
[101]Wei L, Qian Q, Wang ZQ, et al. Using geographic information system-based ecologic niche models to forecast the risk of hantavirus infection in Shandong Province, China Am J Trop Med Hyg,2011,84(3):497-503.
[102]Chatterjee C, Sarkar RR. Multi-step polynomial regression method to model and forecast malaria incidence. PLoS One,2009,4(3):e4726.
[103]Polgreen PM, Nelson FD, Neumann GR. Use of prediction markets to forecast infectious disease activity. Clin Infect Dis,2007,44(2):272-279.
[104]Hsieh YH, Cheng YS. Real-time forecast of multiphase outbreak. Emerg Infect Dis,2006,12(1):122-127.
[105]Hufnagel L, Brockmann D, Geisel T. Forecast and control of epidemics in a globalized world. Proc Natl Acad Sci U S A,2004,101(42):15124-15129.
[106]赛晓勇,张治英,徐德忠,等.不同时间序列分析法在洞庭湖区血吸虫病发病预测中的比较.中华流行病学杂志,2004,25(10):863-866.
[107]吴开琛.通过数学模型预测和评价血吸虫病控制措施效应的理论探讨.中国寄生虫学与寄生虫病杂志,2005,23(6):408-414.
[108]Chen Z, Zou L, Shen D, et al. Mathematical modelling and control of schistosomiasis in Hubei Province, China Acta Trop,2010,115(1-2):119-125.
[109]修良昌,张强,尹治成,等Barbour双宿主模型简介及应用.寄生虫病与 感染性疾病,2008,6(1):12-15.
[110]Gray DJ, Williams GM, Li Y, et al. Transmission dynamics of Schistosoma japonicum in the lakes and marshlands of China PLoS ONE,2008,3(12): e4058.
[111]Zhao A, Gong P, Bao SM. A readapted Malone schistosome transmission index model. Acta Trop,2009,109(2):98-102.
[112]Zhang Z, Ong S, Peng W, et al. A model for the prediction of Oncomelania hupensis in the lake and marshland regions, China Parasitol Int,2008,57(2): 121-131.
[113]李源培(综述),周艺彪,姜庆五(审校).血吸虫病传播数学模型的研究进展.中国血吸虫病防治杂志,2009,21(6):568-571.
[114]肖枝洪,郭明月主编.时间序列分析与SAS应用.武汉:武汉大学出版社,2009:9-108,145-168.
[115]王艳主编.应用时间序列分析.北京:中国人民大学出版社,2005:142-196.
[116]刘思峰,谢乃明主编.灰色系统理论及其应用.北京:科学出版社,2008:95-112.
[117]党耀国,刘思峰等主编.灰色预测与决策模型研究.北京:科学出版社,2009:39-72.
[118]彭志行,陶红,贾成梅,等.时间序列分析在麻疹疫情预测预警中的应用研究.中国卫生统计,2010,27(5):459-463.
[119]李望晨,张利平,孔雨佳,等.我国妇幼死亡率GM(1,1)与线性回归预测模型研究.中国卫生统计,2010,27(4):366-368.
[120]黎景雪,王培承,邱瑞香,等.灰色模型在我国伤寒副伤寒发病率预测中的应用.数理医药学杂志,2010,23(5):506-508.
[121]赛晓勇,邢秦菊,孟定茹,等.五种预测方法在退田还湖区血吸虫病发病的拟合效果评价.第四军医大学学报,2006,27(17):1603-1605.
[122]魏武雄主编.时间序列分析-单变量和多变量方法.北京:中国人民大学出版社,2005:30-82.
[123]Nigatu T, Abraha M. Epidemiological analysis of tuberculosis in Ethiopia:a ten-year trend analysis. East Afr J Public Health,2010,7(2):182-186.
[124]汪同三,张涛主编.组合预测——理论、方法及应用.北京:社会科学文献出版社,2008:1-71.
[125]Yan W, Xu Y, Yang X, et al. A hybrid model for short-term bacillary dysentery prediction in Yichang City, China. Jpn J Infect Dis,2010,63(4):264-270.
[126]陈华友主编.组合预测方法有效性理论及其应用.北京:科学出版社,2008:1-5.
[127]Bergquist R, Tanner M. Controlling schistosomiasis in Southeast Asia:a tale of two countries. Adv Parasitol,2010,72:109-144.
[128]Bergquist R, Utzinger J, McManus DP. Trick or treat:the role of vaccines in integrated schistosomiasis control. PLoS Negl Trop Dis,2008,2(6):e244.
[129]Bethony JM, Diemert DJ, Oliveira SC, et al. Can schistosomiasis really be consigned to history without a vaccine? Vaccine,2008,26(27-28):3373-3376.
[130]曾光主编.现代流行病学方法与应用.北京:北京医科大学中国协和医科大学联合出版社,1994:250-270.
[131]Brooker S, Kabatereine NB, Gyapong JO, et al. Rapid mapping of schistosomiasis and other neglected tropical diseases in the context of integrated control programmes in Africa Parasitology,2009,136(13):1707-1718.
[132]Wang L, Utzinger J, Zhou XN. Schistosomiasis control:experiences and lessons from China Lancet,2008,372(9652):1793-1795.
[133]Park YJ, Lim JH, Kwon ER, et al. Development and validation of a simple index system to predict nonalcoholic fatty liver disease. Korean J Hepatol,2011, 17(1):19-26.
[134]Colucci E, Kelly CM, Minas H, et al. Mental Health First Aid guidelines for helping a suicidal person:a Delphi consensus study in the Philippines. Int J Ment Health Syst,2010,4:32.
[135]Ntoburi S, Hutchings A, Sanderson C, et al. Development of paediatric quality of inpatient care indicators for low-income countries-A Delphi study. BMC Pediatr,2010,10:90.
[136]Tomasik T. Reliability and validity of the Delphi method in guideline development for family physicians. Qual Prim Care,2010,18(5):317-326.
[137]Syed AM, Hjarnoe L, Krumkamp R, et al. Developing policy options for SARS and SARS-like diseases-a Delphi study. Glob Public Health,2010,5(6): 663-675.
[138]Clay-Williams R, Braithwaite J. Determination of health-care teamwork training competencies:a Delphi study. Int J Qual Health Care,2009,21(6): 433-440.
[139]Miro J, Huguet A, Nieto R. Predictive factors of chronic pediatric pain and disability:a Delphi poll. J Pain,2007,8(10):774-792.
[140]DeSilets LD. SWOT is useful in your tool kit J Contin Educ Nurs,2008,39(5): 196-197.
[141]Pearce C. Ten steps to carrying out a SWOT analysis. Nurs Manag (Harrow), 2007,14(2):25.
[142]Boytsov S, Van de Werf F. Regional challenges and opportunities in cardiovascular research:The Russian Federation "SWOT" analysis. Am Heart J, 2011,161(3):427-430.
[143]van Wijngaarden JD, Scholten GR, van Wijk KP. Strategic analysis for health care organizations:the suitability of the SWOT-analysis. Int J Health Plann Manage.2010 Jul 5. [Epub ahead of print]
[144]Richardson J, McEwing G, Glasper EA. Pre-registration children's and young people's nurse preparation. A SWOT analysis. Paediatr Nurs,2006,18(10): 34-37.
[145]Dixit H, Marahatta SB. Medical education and training in Nepal:SWOT analysis. Kathmandu Univ Med J (KUMJ),2008,6(23):412-420.
[146]Caruana CJ, Wasilewska-Radwanska M, Aurengo A, et al. A comprehensive SWOT audit of the role of the biomedical physicist in the education of healthcare professionals in Europe. Phys Med,26(2):98-110.
[147]Camden C, Swaine B, Tetreault S, et al. SWOT analysis of a pediatric rehabilitation programme:a participatory evaluation fostering quality improvement. Disabil Rehabil,2009,31(16):1373-1381.
[148]van Marwijk H. How to improve mental health competency in general practice training?--a SWOT analysis. Eur J Gen Pract,2004,10(2):61-65.
[149]Zhou XN, Bergquist R, Leonardo L, et al. Schistosomiasis japonica control and research needs. Adv Parasitol,2010,72:145-178.
[150]McManus DP, Gray DJ, Li Y, et al. Schistosomiasis in the People's Republic of China:the era of the Three Gorges Dam. Clin Microbiol Rev,2010,23(2): 442-466.
[151]Fenwick A, Webster JP, Bosque-Oliva E, et al. The Schistosomiasis Control Initiative (SCI):rationale, development and implementation from 2002-2008. Parasitology,2009,136(13):1719-1730.
[152]Garba A, Toure S, Dembele R, et al. Present and future schistosomiasis control activities with support from the Schistosomiasis Control Initiative in West Africa Parasitology,2009,136(13):1731-1737.
[153]Gray DJ, McManus DP, Li Y, et al. Schistosomiasis elimination:lessons from the past guide the future. Lancet Infect Dis,10(10):733-736.
[154]Malone JB, Yang GJ, Leonardo L, et al. Implementing a geospatial health data infrastructure for control of Asian schistosomiasis in the People's Republic of China and the Philippines. Adv Parasitol,2010,73:71-100.
[1]Schistosomiasis. Wkly Epidemiol Rec,2010,85(18):158-164.
[2]King CH. Toward the elimination of schistosomiasis. N Engl J Med,2009, 360(2):106-109.
[3]King CH, Dangerfield-Cha M. The unacknowledged impact of chronic schistosomiasis. Chronic Illn,2008,4(1):65-79.
[4]King CH, Sturrock RF, Kariuki HC, et al. Transmission control for schistosomiasis-why it matters now. Trends Parasitol,2006,22(12):575-582.
[5]Spear RC, Seto E, Remais J, et al. Fighting waterborne infectious diseases. Science,2006,314(5802):1081-1083;author reply 1081-1083.
[6]Wang LD, Chen HG, Guo JG, et al. A strategy to control transmission of Schistosoma japonicum in China. N Engl J Med,2009,360(2):121-128.
[7]Fenwick A, Rollinson D, Southgate V. Implementation of human schistosomiasis control:Challenges and prospects. Adv Parasitol,2006,61: 567-622.
[8]Proceedings of the 10th International Symposium on Schistosomiasis,25-28 September 2005, Belo Horizonte, Brazil. Mem Inst Oswaldo Cruz,2006,101 Suppl 1:1-372.
[9]Amaral RS, Tauil PL, Lima DD, et al. An analysis of the impact of the Schistosomiasis Control Programme in Brazil. Mem Inst Oswaldo Cruz,2006, 101 Suppl 1:79-85.
[10]Barbosa CS, Araujo KC, Sevilla MA, et al. Current epidemiological status of schistosomiasis in the state of Pernambuco, Brazil. Mem Inst Oswaldo Cruz, 105(4):549-554.
[11]Aagaard-Hansen J, Mwanga JR, Bruun B. Social science perspectives on schistosomiasis control in Africa:past trends and future directions. Parasitology,2009,136(13):1747-1758.
[12]Garba A, Toure S, Dembele R, et al. Implementation of national schistosomiasis control programmes in West Africa. Trends Parasitol,2006, 22(7):322-326.
[13]邢慧娴,杨维中,王汉章.传染病预测.预防医学情报杂志,2004,20(6):639-642.
[14]胡世雄,邢慧娴,邓志红.我国传染病的预测预警现状.中华预防医学杂志,2007,41(5):407-410.
[15]任光辉主编.临床血吸虫病学.北京:人民卫生出版社,2009:1-91,732-751.
[16]周晓农,姜庆五,孙乐平,等.我国血吸虫病防治与监测.中国血吸虫病防治杂志,2005,17(3):161-165.
[17]Cioli D, Pica-Mattoccia L. Praziquantel. Parasitol Res,2003,90 Supp 1:S3-9.
[18]郭家纲.中国血吸虫病综合治理的历史与现状.中华预防医学杂志,2006,40(4):225-228.
[19]杨国静主译.血吸虫病及血吸虫病防治的社会学——导论与文献评析.北京:人民卫生出版社,2010:7-122.
[20]Taylor M. Global trends in schistosomiasis control. Bull World Health Organ, 2008,86(10):738.
[21]Chitsulo L, Engels D, Montresor A, et al. The global status of schistosomiasis and its control. Acta Trop,2000,77(1):41-51.
[22]WHO. World Health Assembly endorses WHO's strategic priorities. Geneva, 2001, http://www.who.int/inf-pr-2001/en/pr2001WHA-6.html.
[23]WHO. Prevention and control of schistosomiasis and soil-transmitted helminthiasis:report of a WHO expert committee. WHO Tech. Rep. Ser. No. 912. World Health Organization, Geneva,2002, http://whqlibdoc.who.int/trs/ WHO_TRS_912.pdf.
[24]Fenwick A, Webster JP. Schistosomiasis:challenges for control, treatment and drug resistance. Curr Opin Infect Dis,2006,19(6):577-582.
[25]Utzinger J, Raso G, Brooker S, et al. Schistosomiasis and neglected tropical diseases:towards integrated and sustainable control and a word of caution. Parasitology,2009,136(13):1859-1874.
[26]Rollinson D. A wake up call for urinary schistosomiasis:reconciling research effort with public health importance. Parasitology,2009,136(12):1593-1610.
[27]Stothard JR, Chitsulo L, Kristensen TK, et al. Control of schistosomiasis in sub-Saharan Africa:progress made, new opportunities and remaining challenges. Parasitology,2009,136(13):1665-1675.
[28]Savioli L, Gabrielli AF, Montresor A, et al. Schistosomiasis control in Africa: 8 years after World Health Assembly Resolution 54.19. Parasitology,2009, 136(13):1677-1681.
[29]Fleming FM, Fenwick A, Tukahebwa EM, et al. Process evaluation of schistosomiasis control in Uganda,2003 to 2006:perceptions, attitudes and constraints of a national programme. Parasitology,2009,136(13):1759-1769.
[30]Zhou XN, Guo JG, Wu XH, et al. Epidemiology of schistosomiasis in the People's Republic of China,2004. Emerg Infect Dis,2007,13(10):1470-1476.
[31]Utzinger J, Zhou XN, Chen MG, et al. Conquering schistosomiasis in China: the long march. Acta Trop,2005,96(2-3):69-96.
[32]Wang L, Utzinger J, Zhou XN. Schistosomiasis control:experiences and lessons from China. Lancet,2008,372(9652):1793-1795.
[33]Zhou XN, Wang LY, Chen MG, et al. The public health significance and control of schistosomiasis in China--then and now. Acta Trop,2005,96(2-3): 97-105.
[34]王颖.我国血吸虫病预防控制规范化管理研究.上海:世界图书出版公司,2009:9-22.
[35]Wang LD, Guo JG, Wu XH, et al. China's new strategy to block Schistosoma japonicum transmission:experiences and impact beyond schistosomiasis. Trop Med Int Health,2009,14(12):1475-1483.
[36]Bian Y, Sun Q, Zhao Z, et al. Market reform:a challenge to public health--the case of schistosomiasis control in China. Int J Health Plann Manage,2004,19 Suppl 1:S79-94.
[37]Balen J, Zhao ZY, Williams GM, et al. Prevalence, intensity and associated morbidity of Schistosoma japonicum infection in the Dongting Lake region, China. Bull World Health Organ,2007,85(7):519-526.
[38]Xiao SH, Keiser J, Chen MG, et al. Research and development of antischistosomal drugs in the People's Republic of China a 60-year review. Adv Parasitol,2010,73:231-295.
[39]朱蓉,郭家纲.吡喹酮化疗在血吸虫病防治中的作用.中国血吸虫病防治杂志,2009,21(2):154-157.
[40]Chen MG. Progress and problems in schistosomiasis control in China. Trop Med Parasitol,1989,40(2):174-176.
[41]Zhou YB, Zhao GM, Jiang QW. Effects of the praziquantel-based control of schistosomiasis japonica in China. Ann Trop Med Parasitol,2007,101(8): 695-703.
[42]Chen M. Progress in schistosomiasis control in China. Chin Med J (Engl), 1999,112(10):930-933.
[43]周艺彪,姜庆五,赵根明,等.化疗控制人群感染日本血吸虫病的效果分析.中华流行病学杂志,2004,25(12):1024-1027.
[44]朱蓉,党辉,张利娟,等.2005-2008年全国血吸虫病疫情监测.中国血吸虫病防治杂志2009,21(5):358-362.
[45]Chen MG. Use of praziquantel for clinical treatment and morbidity control of schistosomiasis japonica in China:a review of 30 years' experience. Acta Trop, 2005,96(2-3):168-176.
[46]Zhao GM, Zhao Q, Jiang QW, et al. Surveillance for schistosomiasis japonica in China from 2000 to 2003. Acta Trop,2005,96(2-3):288-295.
[47]全国预防控制血吸虫病中长期规划纲要(2004-2015年).中华人民共和国国务院公报,2004(26):8-13.
[48]吴晓华,许静,李石柱,等.2008年全国血吸虫病潜在流行区监测预警报告.中国血吸虫病防治杂志,2009,21(5):353-357.
[49]林丹丹,吴晓华,姜庆五,等.我国血吸虫病防治研究的战略思考重点.中国血吸虫病防治杂志,2009,21(1):1-4.
[50]国务院办公厅关于进一步做好血吸虫病传染源控制工作的通知.中华人民共和国国务院公报,2007(34):29-30.
[51]汪天平,操治国,陈红根,等.实现防治策略转变,加快血防工作进程.中国血吸虫病防治杂志,2009,21(4):241-242.
[52]中华人民共和国卫生部.GB15976-2006血吸虫病控制和消灭标准.北京:人民卫生出版社,2007:1-6.
[53]郝阳,易冬华,张险峰,等.2008年全国血吸虫病疫情控制考核评估报告.中国血吸虫病防治杂志,2009,21(6):457-463.
[54]Mullner RM, Chung K, Croke KG, et al. Geographic information systems in public health and medicine. J Med Syst,2004,28(3):215-221.
[55]路超(综述),田考聪(审校).地理信息系统(GIS)在疾病预警控制中的应用.现代预防医学,2007,34(22).
[56]Beale L, Abellan JJ, Hodgson S, et al. Methodologic issues and approaches to spatial epidemiology. Environ Health Perspect,2008,116(8):1105-1110.
[57]Lin H, Liu Q, Guo J, et al. Analysis of the geographic distribution of HFRS in Liaoning Province between 2000 and 2005. BMC Public Health,2007,7:207.
[58]王晓风,王丽萍,马家奇,等.遥感与地理信息系统技术在疟疾研究中的应用与发展.中华流行病学杂志,2009,30(4):410-413.
[59]Zhou XN, Yang GJ, Yang K, et al. Potential impact of climate change on schistosomiasis transmission in China. Am J Trop Med Hyg,2008,78(2): 188-194.
[60]Simoonga C, Utzinger J, Brooker S, et al. Remote sensing, geographical information system and spatial analysis for schistosomiasis epidemiology and ecology in Africa. Parasitology,2009:1-11.
[61]Yang GJ, Vounatsou P, Zhou XN, et al. A review of geographic information system and remote sensing with applications to the epidemiology and control of schistosomiasis in China. Acta Trop,2005,96(2-3):117-129.
[62]Eisen L, Eisen RJ. Need for improved methods to collect and present spatial epidemiologic data for vectorborne diseases. Emerg Infect Dis,2007,13(12): 1816-1820.
[63]Dredger SM, Kothari A, Morrison J, et al. Using participatory design to develop (public) health decision support systems through GIS. Int J Health Geogr,2007,6:53.
[64]Gao S, Mioc D, Anton F, et al. Online GIS services for mapping and sharing disease information. Int J Health Geogr,2008,7:8.
[65]王丙刚,曲波,郭海强,等.传染病预测的数学模型研究.中国卫生统计,2007,24(5):536-540.
[66]张占卿,陆伟,童海涛,等.血清纤维化标志物预测肝纤维化的再评价.中华传染病杂志,2007,25(4):232-233.
[67]Bates JM, Granger C. Combination of Forecasts. Operations Research Quarterly,1969,20(4):451-468.
[68]Kao JJ, Huang SS. Forecasts using neural network versus Box-Jenkins methodology for ambient air quality monitoring data. J Air Waste Manag Assoc,2000,50(2):219-226.
[69]张明华.组合预测法在门急诊量预测中的应用.中国医院统计,2007,14(1):20-22.
[70]严薇荣,徐勇,杨小兵,等.基于灰色马尔可夫模型的伤寒副伤寒发病率预测.数理医药学杂志,2008,21(2):137-139.
[71]戴荣华.传染病预警体系运行模式的探讨.现代预防医学,2006,33(2):139.
[72]Flouris AD, Duffy J. Applications of artificial intelligence systems in the analysis of epidemiological data. Eur J Epidemiol,2006,21(3):167-170.
[73]Patel VL SE, Stefanelli M, Szolovits P. The coming of age of artificial intelligence in medcine. Artif Intell Med,2009,46(1):5-17.
[74]Uscher-Pines L, Farrell CL, Babin SM, et al. Framework for the development of response protocols for public health syndromic surveillance systems:case studies of 8 US states. Disaster Med Public Health Prep,2009,3(2 Suppl): S29-36.