USAcities

<p>Dataframe to be used internally to make maps and get county information</p>

datasets

Estimation of association between disease or death counts (e.g. COVID-19) and socio-environmental risk factors using a zero-inflated Bayesian spatiotemporal model. Non-spatiotemporal models and/or models without zero-inflation are also included for comparison. Functions to produce corresponding maps are also included. See Chakraborty et al. (2022) <doi:10.1007/s13253-022-00487-1> for more details on the method.

Suman Majumder

BSTZINB

Association Among Disease Counts and Socio-Environmental Factors

Yoon-Bae Jun

Sounak Chakraborty

Chae-Young Lim

Tanujit Dey

USAcities function


<div class="section" id="usacities">
<h3><code>USAcities</code></h3><p></p><p>
</p><p>A dataframe with 3232 rows and 4 columns: state_id (State abbreviation), county_name (County name), county_fips (FIPS codes for the counties) and population (County population).</p>
</div>


Format

USAcities: A dataset containing state and county information for the cities in the United States — USAcities


<div class='section' id='usacities'>
<h3><code>USAcities</code></h3>


<p>A dataframe with 3232 rows and 4 columns: state_id (State abbreviation), county_name (County name), county_fips (FIPS codes for the counties) and population (County population).</p>
</div>


USAcities: USAcities: A dataset containing state and county information for the cities in the United States

Description

Usage

Arguments

Format

`USAcities`