Amesa Ebsa Gelan, Kitessa Berhanu Abebe, Biyana Chaltu Fikru, Wotale Teramaj Wongel, Alemayehu Yadeta
Department of Statistics, College of Natural and Computational Science, Mattu University, Mattu, Ethiopia.
Department of Epidemiology, Mattu Health Science College, Mattu, Ethiopia.
Risk Manag Healthc Policy. 2024 May 28;17:1395-1405. doi: 10.2147/RMHP.S456958. eCollection 2024.
Malaria is one of the most widespread infections worldwide, particularly in developing countries. Accordingly, Jimma Zone is one of the widely affected areas by malaria in Ethiopia. In 2020 woreda health offices have reported the possible malaria epidemic that needs further investigation. Accordingly, this study aims to characterize the scope, pinpoint determinants connected to the Nono Benja woreda malaria outbreak, and implement suitable public health management measures.
A descriptive cross-sectional study was followed by an unmatched case-control study with a 1:1 ratio of cases to controls. The sample size of 136 individuals (68 cases and 68 controls) was used. The collected data was imported into Epi-data version 3.1 and analyzed using SPSS version 25.0. By doing multivariate logistic regression association was determined at 95% confidence intervals P value of 5%.
A total of 687 instances were identified, giving an overall attack incidence of 1%. The assault rate ranged from 51.6 per 1000 people in Benja rural to 1.1 per 1000 people in Dhokonu Kebele. But there were no recorded deaths. and were the major types of Plasmodium species reported. From independent variables absence of ITNS [AOR 3.98 (CI = 1.11-24.8)], residing in an unsprayed home [AOR = 3.83 (CI = 1.04-14.08], presence of stagnant water in residential area [AOR = 4.25, CI (1.37-12.24113.10)], and lack of awareness on malaria prevention [AOR = 8.28 (CI 2.31-29.73)] were significantly associated with Malaria outbreak.
A number of factors, including lack of ITNS, lack of malaria health education, stagnant water, and IRS (indoor residual spray), were significantly linked with the occurrence of malaria outbreaks. The woreda health office should therefore provide ITNS to the community, use indoor residual spray, and disseminate health information regarding efficient and long-lasting malaria preventive and control techniques.
疟疾是全球传播最广泛的感染病之一,在发展中国家尤为如此。因此,吉马地区是埃塞俄比亚受疟疾影响广泛的地区之一。2020年,各分区卫生办公室报告了可能需要进一步调查的疟疾疫情。因此,本研究旨在描述范围,查明与诺诺·本贾分区疟疾疫情相关的决定因素,并实施适当的公共卫生管理措施。
采用描述性横断面研究,随后进行病例与对照比例为1:1的非匹配病例对照研究。使用了136名个体(68例病例和68例对照)的样本量。收集的数据导入Epi-data 3.1版本,并使用SPSS 25.0版本进行分析。通过多元逻辑回归确定95%置信区间、P值为5%时的关联。
共确定687例病例,总体攻击发病率为1%。攻击率从本贾农村地区的每1000人51.6例到多科努村的每1000人1.1例不等。但没有记录到死亡病例。 和 是报告的主要疟原虫种类。在自变量中,未使用经杀虫剂处理的蚊帐[AOR 3.98(CI = 1.11 - 24.8)]、居住在未喷洒杀虫剂的房屋中[AOR = 3.83(CI = 1.04 - 14.08)]、居民区存在积水[AOR = 4.25,CI(1.37 - 12.24113.10)]以及缺乏疟疾预防意识[AOR = 8.28(CI 2.31 - 29.73)]与疟疾疫情显著相关。
包括未使用经杀虫剂处理的蚊帐、缺乏疟疾健康教育、积水以及室内滞留喷洒等在内的一些因素与疟疾疫情的发生显著相关。因此,分区卫生办公室应向社区提供经杀虫剂处理的蚊帐,使用室内滞留喷洒,并传播有关有效且持久的疟疾预防和控制技术的健康信息。