IMPACT

Societal Factors Affecting the Spread of Covid-19

Location

Room #2 (A133)

Document Type

Presentation

Type

Information Motivating Public Activism (IMPACT)

UN Sustainable Development Goal

UNSDG #3: Good Health and Well-Being

Start Date

26-4-2023 10:10 AM

End Date

26-4-2023 10:25 AM

Abstract

Covid-19 has wreaked havoc in the world for the past two years. It’s still a wave that impacts our everyday lives even to this day. Worldwide, millions of people have unfortunately passed away due to this virus which originated in China. Our goal is to better understand the impact and effect that Covid-19 has had these past 2 years since 2020. We wanted to explore if societal factors affect if certain people test positive and others test negative, or vice versa. Some of these factors include, gender, demographics, and much more. Using datasets from kaggle and the UN, we compiled multiple graphs. We then analyzed these graphs to see which factors had a bigger impact than others. This would help other people understand what are the risk factors that could cause them to get Covid-19 based on where they live, how their economy is, etc. This ties back to the UN SDG (United Nations’ Sustainable Development Goal) #3, Good Health and Well Being, because if we’re able to see what societal factors are putting more people at risk than others, then someone would know how much they have to do to stay safe.

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Apr 26th, 10:10 AM Apr 26th, 10:25 AM

Societal Factors Affecting the Spread of Covid-19

Room #2 (A133)

Covid-19 has wreaked havoc in the world for the past two years. It’s still a wave that impacts our everyday lives even to this day. Worldwide, millions of people have unfortunately passed away due to this virus which originated in China. Our goal is to better understand the impact and effect that Covid-19 has had these past 2 years since 2020. We wanted to explore if societal factors affect if certain people test positive and others test negative, or vice versa. Some of these factors include, gender, demographics, and much more. Using datasets from kaggle and the UN, we compiled multiple graphs. We then analyzed these graphs to see which factors had a bigger impact than others. This would help other people understand what are the risk factors that could cause them to get Covid-19 based on where they live, how their economy is, etc. This ties back to the UN SDG (United Nations’ Sustainable Development Goal) #3, Good Health and Well Being, because if we’re able to see what societal factors are putting more people at risk than others, then someone would know how much they have to do to stay safe.