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尼日利亚人关于新冠疫情相关知识、风险认知及预防行为的调查数据。

Survey data of COVID-19-related Knowledge, Risk Perceptions and Precautionary Behavior among Nigerians.

作者信息

Olapegba Peter O, Iorfa Steven K, Kolawole Samson O, Oguntayo Rotimi, Gandi Joshua C, Ottu Iboro F A, Ayandele Olusola

机构信息

Department of Psychology, University of Ibadan, Ibadan, Nigeria.

Department of Psychology, University of Nigeria, Nsukka, Nigeria.

出版信息

Data Brief. 2020 May 8;30:105685. doi: 10.1016/j.dib.2020.105685. eCollection 2020 Jun.

Abstract

In response to the global call for strategic information to understand the novel coronavirus, the dataset presented in this paper is an examination of COVID-19-related knowledge, risk perceptions and precautionary health behavior among Nigerians. The data were generated during the COVID-19 lockdown in the country through a survey distributed via an online questionnaire, assessing socio-demographic information (7 items), knowledge (5 items), information sources (1 item), risk perception (9 items), expected end of lockdown (1 item), and COVID-19 precautionary health behavior (10 items), from 28th March to 4th April, 2020, gathering a total of 1,357 responses. A combination of purposive and snowball techniques helped to select the respondents via Whatsapp and Facebook from 180 cities/towns in the 6 geopolitical zones of Nigeria. The survey data were analyzed using descriptive statistics. The entire dataset is stored in a Microsoft Excel Worksheet (xls) and the questionnaire is attached as a supplementary file. The data will assist in curbing the Coronavirus pandemic by offering evidence for strategic and targeted interventions as well as health policy formulations and implementation.

摘要

为响应全球对了解新型冠状病毒的战略信息的呼吁,本文呈现的数据集是对尼日利亚人关于新冠病毒相关知识、风险认知和预防性健康行为的调查。这些数据是在该国新冠疫情封锁期间,通过在线问卷分发的一项调查收集的,评估了社会人口信息(7项)、知识(5项)、信息来源(1项)、风险认知(9项)、预计封锁结束时间(1项)以及新冠病毒预防性健康行为(10项),调查时间为2020年3月28日至4月4日,共收集到1357份回复。采用目的抽样和滚雪球技术相结合的方法,通过Whatsapp和Facebook从尼日利亚6个地缘政治区的180个城市/城镇中选取了受访者。调查数据采用描述性统计方法进行分析。整个数据集存储在一个Microsoft Excel工作表(xls)中,问卷作为补充文件附上。这些数据将通过为战略和有针对性的干预措施以及卫生政策的制定和实施提供证据,有助于遏制新冠疫情。

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