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LLIN monitoring data - Dominican Republic 2023

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DataCite Commons2025-06-01 更新2024-08-19 收录
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https://figshare.com/articles/dataset/LLIN_monitoring_data_-_Dominican_Republic_2023/26010082/1
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<b>Description of the study</b>This data corresponds to a survey conducted in 2023 to monitor LLIN post distribution in the two main malaria foci of the Dominican Republic: Azua and San Juan. In Azua, the survey was conducted between 4 and 6 months post-distribution. In San Juan one year post-distribution.The survey was conducted in a random sample of households of each focus. The sample size per focus was calculated using the software Epi Info following simple random probability sampling, aiming to obtain a 95% confidence level and a ±6% error in the percentage of houses with enough nets to cover all sleeping spaces and considering that Azua and San Juan had a finite number of households. The number of houses visited in each locality was calculated based on the proportion of the households in each locality out of the total number of households in localities that received LLINs. In the absence of an updated population census, the total number of households in each locality was obtained from reports made during the LLIN installation and IRS campaigns. To define the households to be visited, the total number of households was divided by the number of households to be visited in the locality to obtain the interval for selecting households in the field (e.g. if the locality had 150 households and 15 had to be visited, field teams would interview 1 out of every 10 households they encountered). Fieldworkers started at a random corner of the locality and chose households based on the selection interval (e.g. 1 every 10 households).Each household received a survey in Spanish (Additional file 1). The survey included questions addressed to the head of the household, questions addressed to a random member of the household, and questions about a randomly selected LLIN in the household. Due to the absence of an updated census of the population, the random member was selected by the surveyor in situ, and so was the random LLIN (considering both installed and uninstalled nets present in the household). Several of the questions were verified by the surveyors inside the house by visual inspection of sleeping spaces, nets or net drying places. The physical integrity of the LLINs was verified in situ by extending the net and counting the holes of four different sizes as per WHO guidelines<b>Description of the data collection tool and data storage</b>The data was collected in Survey CTO and stored in a cloud Survey CTO server v2.81.1.<b>File structure</b>There are two csv files. One contains the raw data from the surveys conducted in Azua and San Juan. Each line in the data set represents one questionnaire in one household. All household identifiers (i.e. coordinates, address and name of the household owner) were removed to anonymize the data. The other one contains the data dictionary explaining the meaning of each variable in Spanish and English.

<b>研究概况</b>本数据集对应2023年开展的一项调查,用于监测多米尼加共和国两处主要疟疾流行区——阿苏阿(Azua)与圣胡安(San Juan)的长效杀虫剂处理蚊帐(Long-Lasting Insecticidal Nets, LLIN)分发后状况。其中阿苏阿地区的调查在蚊帐分发后4至6个月开展,圣胡安地区的调查则于分发满1年后启动。本次调查采用简单随机概率抽样方法,从每个流行区的住户中抽取随机样本。样本量通过Epi Info软件计算得出,设定置信水平为95%,容许误差为±6%,核心监测指标为“拥有足够蚊帐覆盖所有睡眠空间的家庭占比”,同时考虑到阿苏阿与圣胡安的住户总量有限的情况。各调查点实际走访的住户数量,依据该点接收长效杀虫剂处理蚊帐的住户占所有接收该类蚊帐住户的比例计算得到。由于缺乏最新人口普查数据,各调查点的住户总数取自长效杀虫剂处理蚊帐安装与室内滞留喷洒(Indoor Residual Spraying, IRS)专项行动期间生成的报告。为确定待走访的住户,将调查点总住户数除以需走访的住户数,得到现场选取住户的间隔区间(例如,若某调查点共有150户,需走访15户,则现场团队每遇到10户便访谈1户)。外勤调查员从调查点的随机角落出发,按照选取间隔选取住户(例如每10户选取1户)。所有受访家庭均接受西班牙语版调查问卷(附加文件1)。问卷内容包含三类问题:面向户主的问题、面向家庭中随机选取成员的问题,以及针对家庭中随机选取的1顶长效杀虫剂处理蚊帐的相关问题。由于缺乏最新人口普查数据,随机选取的家庭成员与随机选取的蚊帐(涵盖家庭中已安装与未安装的蚊帐)均由调查员现场完成选取。部分问题由调查员在住户住宅内通过目视检查睡眠空间、蚊帐或蚊帐晾晒点进行验证。调查人员还现场核验了长效杀虫剂处理蚊帐的物理完整性:将蚊帐展开后,按照世界卫生组织(World Health Organization, WHO)指南的标准,对四种不同尺寸的孔洞进行计数。<b>数据采集工具与数据存储说明</b>本数据集的数据通过Survey CTO采集,并存储于版本为v2.81.1的云服务器Survey CTO中。<b>文件结构</b>本数据集包含2个CSV文件。其中一个文件收录阿苏阿与圣胡安两地调查问卷的原始数据,数据集中每一行对应一户家庭的一份问卷。为实现数据匿名化,所有住户标识信息(即坐标、住址与户主姓名)均已移除。另一个文件为数据字典,以西班牙语与英语两种语言解释各变量的含义。
提供机构:
figshare
创建时间:
2024-06-10
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