2014-2015年马达加斯加发热哨点监测系统对疟疾趋势调查的敏感性

L. Randriamampionona, L. Randrianasolo, R. Randremanana, C. Ramarokoto, Toky Ramarokoto, Annett H Cotte, A. Ratsimbasoa, M. Ratsitorahina, Judith Hedge, P. Piola
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引用次数: 0

摘要

马达加斯加建立了涉及34个卫生中心的发热哨点监测系统,实时发现易流行疾病。进行了评估性研究,以评估未被哨点捕获的发热病例的比例。采用捕获-再捕获法,有两个独立的数据源:第一个来源是卫生中心的发热被动检测,第二个来源是每个相应卫生中心集水区的发热受试者的主动筛查。通过匹配姓名、年龄和地点来确定两个来源的共同病例。通过人口普查估计所收集数据的完整性。2014- 2015年,从哨点网络中随机选择6个卫生中心进行研究。在六个保健中心的集水区进行的积极筛查在149,835名居民中发现了2,902种发热性疾病。急性疟疾占发热性疾病的0.3%(10/2902)。卫生中心的被动筛查报告了157例发热病例,其中7.6%(12/157)为急性疟疾。根据对卫生设施数据的捕获和再捕获分析和主动筛查,集水区的发热病例和急性疟疾病例估计数分别为3,829例[95%置信区间:3,498-4,160]和17例[95%置信区间:7-27]。哨点卫生院对发热性疾病和急性疟疾的总体敏感性分别为4.1%和70.0%。因此,大多数疟疾病例是由哨点热监测系统捕获的。这些结果将作为马达加斯加发热哨点监测系统今后评价研究的基线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity of Fever Sentinel Surveillance System to Survey Malaria Trends in Madagascar, 2014-2015
Fever sentinel surveillance system involving 34 health centers was set up in Madagascar to detect epidemicprone diseases in real time. Evaluative research was performed to assess the proportion of febrile cases that are not captured by sentinel sites. Capture-recapture method was used with two independent data sources: the first source was a passive detection of fevers in health centers while the second was an active screening of febrile subjects in the catchment area of each corresponding health center. Cases common to both sources were identified by matching name, age and location. Completeness of collected data was estimated through the population census. In 2014-15, six health centers were randomly selected from the sentinel network to perform the study. Active screening in the catchment areas of the six health centers detected 2,902 febrile illnesses among 149,835 inhabitants. Acute malaria represented 0.3% (10/2902) of febrile illnesses. The passive screening in health centers notified 157 cases of fever of which 7.6% (12/157) were acute malaria. The estimated number of febrile cases and acute malaria in the catchment areas based on the capture recapture analysis of data from the health facilities and the active screening was 3,829 [95% CI: 3,498-4,160] and 17 [95% CI: 7-27] respectively. The overall sensitivity of sentinel health centers to detect febrile illnesses and acute malaria was 4.1% and 70.0% respectively. Therefore most malaria cases were captured by the sentinel fever surveillance system. These results will serve as a baseline for future evaluative research of the fever sentinel surveillance system in Madagascar.
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