Old Health Behaviors Are Shaping Our ‘New Normal’

Understand how population health history impacts the COVID-19 spread with CDC census data. Note from the editors: Towards Data Science is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this article should not be interpreted as professional advice. To learn more about the coronavirus pandemic, you can click here.

Note from the editors:Towards Data Science_ is a Medium publication primarily based on the study of data science and machine learning. We are not health professionals or epidemiologists, and the opinions of this article should not be interpreted as professional advice. To learn more about the coronavirus pandemic, you can click [here_](https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports).

200 days into 2020 and ‘new normal’ is still creating jump scares every day. With the curve still not flattening, we start asking ourselves: What is the new normal? More importantly, what can we do to help ourselves and others survive it?

There are hundreds of rumors around COVID-19: Is it just flu? Are young people immune to it? Is it only dangerous to people with underlying conditions? Short answer: no, no, and no. However, from the public health data, we might be able to get insights on who is more vulnerable to the virus, and what should communities do to protect you and your beloved ones.

Data Overview

To understand how population health history impacts the COVID-19 spread, we combined the daily COVID activity data from data.world, the 500 Cities: Local Data for Better Health, 2018 release from CDC and mapping data from simplemaps.

COVID Measures: *Since the first confirmed case dates range from February to April, we use the data of the *100th day since the area’s first case to reduce the difference caused by the virus spreading time.

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