Risk perception and impacts of non-conventional medicine on COVID-19
Data files
Oct 10, 2024 version files 41.02 KB
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Data_Risk_Perception_Non_Conventional_Medecine.csv
36.68 KB
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README.md
4.34 KB
Abstract
The COVID-19 pandemic has spread rapidly across the world and caused several economic, social, and demographic impacts, even though there were strong geographical disparities. To control this pandemic, the population has adopted protective measures such as using non-conventional medicine. To assess the effect of socio-demographic factors and the use of non-conventional medicines on COVID-19 risk perception in West Africa, we interviewed people in 4 West African countries (Benin, Togo, Ghana and Côte d’Ivoire). An online quantitative survey was conducted over 5 week period from 25 August to 2 October 2023 using Google form. Participants over 18 years old were eligible to participate. An in-person survey was also conducted in these countries to ensure inclusivity. The process of selecting participants was based on selective data collection. Following the rule of thumb (minimum sample size is 10), the questionnaire covered socio-demographic characteristics, risk perception, affective attitude, use and effectiveness of non-conventional medicine, and various risk predictors. 688 participants were recruited (online and in-person survey) with 79 excluded because they did not belong to the eligible countries. It results of 609 participants including 360 (59.11%) from the in-person survey. Among the 609 respondents, 171 (28.08%) were from Benin, 200 (32.84 %) from Côte d’Ivoire, 152 (24.96 %) from Togo and 86 (14.12 %) from Ghana.
https://doi.org/10.5061/dryad.dv41ns279
Description of the data and file structure
To assess the effect of socio-demographic factors and the use of non-conventional medicines on COVID-19 risk perception in West Africa, a survey was conducted over 5 weeks from 25 August to 2 October 2023 using Google form. It’s an online and in-person survey. Four countries were selected: Benin, Togo, Ghana and Côte d’Ivoire. Only participants over 18 years old were eligible to participate in these countries. Selecting participants for the in-person survey was based on selective data collection. It consisted of selecting a group of older people and a group of people with no formal education after observation and asking the participants. The questionnaire covered socio-demographic characteristics (Country, gender, age and education level), risk perception, affective attitude, use and effectiveness of non-conventional medicine, and various risk predictors. The risk feelings were covered by 9 items and risk analysis related to 3 items. Other variables measured are related to affective attitude which includes 4 items, non-conventional medicine (2 items) and predictors of trust in government, media, and healthcare personnel (3 items). Various measurement scales are employed, including 5-point scales with responses ranging from 1 (not at all) to 5 (extremely) or from 1 (strongly disagree) to 5 (strongly agree). There are also 7-point scales for the affective attitude with responses ranging from 1 (very negative) to 7 (very positive), 1 (a very bad thing) to 7 (a very good thing), or 1 (extremely unpleasant) to 7 (extremely pleasant). A 6-point scale is used for non-conventional medicine, ranging from 1 (never) to 6 (always).
Files and variables
File: Data_Risk_Perception_Non_Conventional_Medecine.csv
Description:
Variables
- Country: The country in which the survey was done
- Gender: The gender of the participants
- Age: The Age of the participants
- Level_ed: The educative level of the participants
- Risk_Feeling_1: When you think about the coronavirus, are you afraid?
- Risk_Feeling_2: To what extent does the coronavirus concern you?
- Risk_Feeling_3: To what extent do you feel vulnerable to the coronavirus?
- Risk_Feeling_4: When you hear about a person with coronavirus, to what extent does your initial reaction try to tell you “this could be me one day”?
- Risk_Feeling_5: In general, what is the risk of contracting coronavirus?
- Risk_Feeling_6: In general, what, in your opinion, is the risk that the coronavirus represents for society in your country?
- Risk_Feeling_7: To what extent do you think the coronavirus poses a risk to the health, safety, or prosperity of mankind?
- Risk_Feeling_8: What, in your opinion, is the risk of dying from a COVID-19 infection?
- Risk_Feeling_9: To what extent do you agree or disagree that the coronavirus/COVID19 will not affect many people in your country at the moment?
- Risk_Analysis_1: What is, in your opinion, the probability that you will contract the coronavirus?
- Risk_Analysis_2: If you did not follow government recommendations to reduce infection, what, in your opinion, would be the probability of contracting the coronavirus?
- Risk_Analysis_3: If you continue to live as you have so far, what is the probability that you will contract the coronavirus?
- Affective_At_1: I consider the coronavirus as something (very negative to very positive)
- Affective_At_2: Overall, I think that the coronavirus is (a very bad thing to a very good thing)
- Affective_At_3: For me, the coronavirus is (extremely unpleasant to extremely pleasant)
- Affective_At_4: When I think about the coronavirus, I mostly feel
- Trust_1: How much trust do you have in doctors and nurses?
- Trust_2: How much trust do you have in politicians in your country regarding COVID-19?
- Trust_3: How much trust do you have in media information about COVID-19 in your country?
- USE_M: Have you ever used non-conventional medicine? (yes/no)
- NM_1: How many times have you used non-conventional medicine to fight COVID-19 ?
- NM_2: To what extent do you trust non-conventional medicine to fight COVID19?
To assess the effect of socio-demographic factors and the use of non-conventional medicines on COVID-19 risk perception in West Africa, a survey was conducted over 5 week period from 25 August to 2 October 2023 using Google form. It’s an online and in-person survey. Four countries were selected: Benin, Togo, Ghana and Côte d’Ivoire. Only participants over 18 years old were eligible to participate in these countries. The process of selecting participants for the in-person survey was based on selective data collection. It consisted of selecting a group of older people and a group of people with no formal education after observation and asking the participants. The questionnaire covered socio-demographic characteristics (Country, gender, age and education level), risk perception, affective attitude, use and effectiveness of non-conventional medicine, and various risk predictors. The risk feelings covered by 9 items and risk analysis related to 3 items. Other variables measured are related to affective attitude which includes 4 items, non-conventional medicine (2 items) and predictors of trust in government, media, and healthcare personnel (3 items).