Nejati Jalil, Tabatabaei Seyed Mehdi, Salehi Masoud, Saghafipour Abedin, Mozafari Ehssan
Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran.
Department of Medical Entomology and Vector Control, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
J Parasit Dis. 2017 Jun;41(2):503-509. doi: 10.1007/s12639-016-0838-6. Epub 2016 Sep 15.
The area southeast of Iran still copes with malaria as an unstable infectious disease and includes the most autochthonous malaria reports in the country. This comprehensive study was carried out for the evaluation of environmental factors, welfare indicators and health facilities on the malaria situation before and at the beginning of a pre-elimination programme in this area. The probable factors affecting the malaria situation, including the water-pipe network, electricity, rainfall, long-lasting integrated nets (LLINs), indoor residual spraying and malaria diagnosis-treatment centres were analysed using SPSS software. The Pearson correlation test showed no significant correlation between some factors such as piped water networks, annual precipitation, number of sprayed villages and autochthonous cases as well as autochthonous foci. But a significant correlation between electricity coverage, number of diagnoses of malaria-treatment centres and autochthonous cases\foci was observed. Also, the number of distributed LLINs didn't have any correlation with the number of total malaria cases, but a significant correlation between LLINs and autochthonous foci was seen. Detailed studies on the correlation of various variables, such as piped water, spraying coverage and number of malaria diagnosis centres, with the malaria situation is limited in Asia and other parts of the world. This study and others like it can help malaria managers and directors in the more accurate allocation of financial resources.
伊朗东南部地区仍在应对疟疾这一不稳定的传染病,该地区的本土疟疾病例报告在该国最多。本全面研究旨在评估该地区在疟疾消除计划实施前及开始时,环境因素、福利指标和卫生设施对疟疾情况的影响。使用SPSS软件分析了可能影响疟疾情况的因素,包括水管网络、电力、降雨、长效驱虫蚊帐(LLINs)、室内滞留喷洒以及疟疾诊断治疗中心。皮尔逊相关性检验表明,一些因素之间无显著相关性,如自来水管网、年降水量、喷洒村庄数量与本土病例以及本土疫源地之间。但观察到电力覆盖范围、疟疾治疗中心诊断数量与本土病例/疫源地之间存在显著相关性。此外,分发的LLINs数量与疟疾总病例数无相关性,但LLINs与本土疫源地之间存在显著相关性。在亚洲和世界其他地区,关于各种变量(如自来水管网、喷洒覆盖率和疟疾诊断中心数量)与疟疾情况相关性的详细研究有限。本研究及类似研究有助于疟疾管理人员和负责人更准确地分配财政资源。