# Logarithmic vs. Linear Visualizations of COVID-19 Cases Do Not Affect Citizens’ Support for Confinement

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/logarithmic-vs-linear-visualizations-of-covid-19-cases-do-not-affect-citizens/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Semra Sevi,Marco Mendoza Aviña,Gabrielle Péloquin-Skulski,Emmanuel Heisbourg,Paola Vegas,Maxime Coulombe,Vincent Arel‐Bundock,Peter John Loewen,André Blais |
| Citations | 2 |
| DOI | 10.31235/osf.io/h6z4f |
| Fields | Mathematics |
| Open Access | true |
| OA Status | gold |
| OA URL | https://osf.io/h6z4f/download |
| OpenAlex ID | https://openalex.org/W4231297003 |
| Type | preprint |
| Year | 2020 |

## Paper authors

- [Gabrielle Péloquin-Skulski](https://scholariq.org/researchers/gabrielle-peloquin-skulski/)

## Paper primary topic

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

## Paper topics

- [COVID-19 epidemiological studies](https://scholariq.org/topics/covid-19-epidemiological-studies/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.