气候因素、人口密度和无幼虫率与肯达里市2012-2021年登革出血热发病率的相关性研究

MedULA Pub Date : 2022-05-25 DOI:10.46496/medula.v9i2.25471
Fifi Nirmala, Nur S Layaly, La Ode Liaumin Azim
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引用次数: 0

摘要

背景:登革出血热(DHF)是一种在世界上大多数热带地区流行的传染病,约有35亿人生活在登革热流行地区。大量的人居住在某一地区会促进登革热的传播,加速登革热病毒从媒介传播。气候对埃及伊蚊的生存非常重要,因为蚊子的繁殖地点会随着气候变化而增加。ABJ表示一个区域的幼虫密度。目的:本研究旨在确定2012-2021年肯达里市气候因素、种群密度和无幼虫率(ABJ)与登革热出血热(DHF)发病率的相关性。方法:采用横断面设计和Spearman秩相关分析,采用SPSS软件。使用的数据是次要数据,包括10年(2012-2021年)的降雨量、湿度、温度、人口密度和DHF发病率,以及2016 - 2020年期间的ABJ数据。结果:研究结果表明,降雨变量(p值= 0000,r = 0,416)和湿度变量(p值= 0000,r = 0,446)对2012-2021年肯达里市DHF发病率具有充分的单向相关系数,ABJ变量(p值= 0,014,r = -0,949)对2016-2020年肯达里市DHF发病率具有很强的非单向相关系数。气温变量(p值= 0.087)和人口密度变量(p值= 0.651)与2012-2021年肯达里市DHF发病率无相关性。结论:降雨量和湿度变量与2012-2021年肯达里市DHF发病率有相关性,ABJ变量与2016-2020年肯达里市DHF发病率有相关性,气温变量与人口密度变量与2012-2021年肯达里市DHF发病率无相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation of Climate Factors, Population Density, and Larva Free Rate (ABJ) on the Incidence of Dengue Hemorrhagic Fever (DHF) in Kendari City Period 2012-2021
Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease that is endemic in most tropical areas in the world and around 3.5 billion people live in areas where dengue is endemic. A large number of individuals residing in a certain area will facilitate the spread of dengue disease and accelerate the transmission of dengue virus from vectors. Climate is very important for the survival of the Aedes Aegypti mosquito because mosquito breeding sites will increase along with climate change. ABJ shows the density of larvae in an area. Purpose(s): This study aimed to determine the correlation of climate factors, population density, and larva free rate (ABJ) to the incidence of Dengue Hemorrhagic Fever (DHF) in Kendari City in 2012–2021. Methods: This research method was a cross sectional design and Spearman rank correlation analysis using SPSS application. The data used are secondary data in the form of data on rainfall, humidity, temperature, population density, and the incidence of DHF in a period of 10 years (2012-2021) and ABJ in a period 2016 - 2020. Results: The results of this study indicated that the rainfall variable (p value = 0,000, r = 0,416) and the humidity variable (p value = 0,000, r = 0,446) have a sufficient and unidirectional correlation coefficient to the incidence of DHF in Kendari City in 2012-2021, ABJ variable (p value = 0,014, r = -0,949) has a very strong and non-unidirectional correlation coefficient on the incidence of DHF in Kendari City in 2016-2020, and there is no correlation between the temperature variable (p value = 0,087) and the variable population density (p value = 0,651) with the incidence of DHF in Kendari City in 2012-2021. Conclusion: There was a correlation between rainfall and humidity variables on the incidence of DHF in Kendari City in 2012-2021, there was a correlation between the ABJ variable and the incidence of DHF in Kendari City in 2016-2020, and there wasn’t a correlation between temperature variable and population density variable on the incidence of DHF in Kendari City in 2012-2021.
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MedULA
MedULA MEDICINE, GENERAL & INTERNAL-
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