The influenza virus sentinel surveillance: results of system evaluation in Mozambique, 2016-2021.

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Pan African Medical Journal Pub Date : 2025-03-19 eCollection Date: 2025-01-01 DOI:10.11604/pamj.2025.50.80.41994
Samanta Djaló, Almiro Tivane, Neuza Nguenha, Nilsa Nascimento, Áuria Banze, Érika Rossetto, Cynthia Semá
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引用次数: 0

Abstract

The 2009 influenza pandemic has caused health challenges around the world. Mozambique has faced challenges in implementing surveillance systems, which are obstacles to the timely detection of outbreaks and epidemics. It is intended to evaluate the performance of the influenza sentinel surveillance system between 2016 and 2021. A descriptive-cross-sectional evaluation of the influenza sentinel surveillance system was conducted at the sentinel posts in Maputo. The sample was calculated, and a simple random sampling technique was used to select the 372 patient record forms. Microsoft Excel and Tableau were used for frequency calculations. Based on the Centers for Disease Control - 2001 script, data quality, stability, sensitivity, representativeness, timeliness, and positive predictive value were evaluated. 28.0% (1,305/4,660) of the analyzed samples had positive results, and 56.1% (2,617/4,660) were male. The system obtained data completeness and consistency of 69.9% (3,260/4,660) and 68% (355/372), respectively. It obtained a sensitivity of 77.5% (842/1,086) in 2017, a representative in 98.4% 1,285/1,305 of the neighborhoods, the opportunity of 50.4% (2,349/4,660), and a positive predictive value of 31.4% (410/1,305). The system proved to be useful, providing reliable data on influenza viral circulation. Continuous influenza monitoring would promote prevention interventions in the most vulnerable groups.

流感病毒哨点监测:2016-2021年莫桑比克系统评估结果
2009年流感大流行在世界各地造成了健康挑战。莫桑比克在实施监测系统方面面临挑战,这是及时发现疫情和流行病的障碍。它旨在评估2016年至2021年期间流感哨点监测系统的表现。在马普托的哨点对流感哨点监测系统进行了描述性横断面评价。对样本进行计算,采用简单随机抽样的方法抽取372份病历表。使用Microsoft Excel和Tableau进行频率计算。根据疾病控制中心- 2001脚本,评估数据质量、稳定性、敏感性、代表性、及时性和阳性预测值。28.0%(1,305/4,660)的分析样本呈阳性,其中56.1%(2,617/4,660)为男性。系统的数据完整性和一致性分别为69.9%(3260 / 4660)和68%(355/372)。2017年敏感性为77.5%(842/ 1086),代表98.4%(1285 / 1305),机会率为50.4%(2349 / 4660),阳性预测值为31.4%(410/ 1305)。该系统被证明是有用的,提供了关于流感病毒传播的可靠数据。持续的流感监测将促进对最脆弱群体的预防干预。
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来源期刊
Pan African Medical Journal
Pan African Medical Journal PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.80
自引率
0.00%
发文量
691
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