Title: Geostatistical Analysis of SARS-CoV-2 Positive Cases in the United States

Type Dataset Peter K. Rogan (2020): Geostatistical Analysis of SARS-CoV-2 Positive Cases in the United States. Zenodo. Dataset. https://zenodo.org/record/3973304

Authors: Peter K. Rogan (University of Western Ontario) ; Eliseos Mucaki (Western University) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

Geostatistics analyzes and predicts the values associated with spatial or spatial-temporal phenomena. It incorporates the spatial (and in some cases temporal) coordinates of the data within the analyses. It is a practical means of describing spatial patterns and interpolating values for locations where samples were not taken (and measures the uncertainty of those values, which is critical to informed decision making). This archive contains results of geostatistical analysis of COVID-19 case counts for all available US counties. Test results were obtained with ArcGIS Pro (ESRI). Sources are state health departments, which are scraped and aggregated by the Johns Hopkins Coronavirus Resource Center and then pre-processed by MappingSupport.com.

This update of the Zenodo dataset (version 4) consists of two compressed archives containing geostatistical analyses of SARS-CoV-2 testing data:

Archive #1: “1. Geostat. Space-Time analysis of SARS-CoV-2 in the US (May 25-Aug 2, weekly).zip” – results of a geostatistical analysis of COVID-19 cases incorporating spatially-weighted hotspots that are conserved over one week timespans. Results are reported from the initial relaxation of distance constraints on Memorial Day weekend 2020 for ten consecutive 1-week intervals (May 25th through to August 2nd 2020). Hotspots, where found, are reported in each individual state, rather than the entire continental United States.

Archive #2: "2. Geostat. Spatial analysis of SARS-CoV-2 in the US (March 24-July 13- v3).zip" – the results from geostatistical spatial analyses only of corrected COVID-19 case data for the continental United States, spanning the period from March 24th through July 13th 2020.

These archives consist of map files (as both static images and as animations) and data files (including text files which contain the underlying data of said map files [where applicable]) which were generated when performing the following Geostatistical analyses: Hot Spot analysis (Getis-Ord Gi*) [‘Archive #1’: consecutive week-long Space-Time Hot Spot analysis; ‘Archive #2’: daily Hot Spot Analysis], Cluster and Outlier analysis (Anselin Local Moran's I) [‘Archive #2’], and Spatial Autocorrelation (Global Moran's I) [‘Archive #2’].

The Word document provided ("Description-of-Archive.Updated-Geostatistical-Analysis-of-SARS-CoV-2 (version 4).docx") details the contents of each file and folder within these two archives, and general interpretations of these results.

This version of the Zenodo archive does not contain early results from our initial geostatistical analysis of case distributions (published on June 15th, 2020). However this data can be retrieved from a prior version of this archive.

More information

• DOI: 10.5281/zenodo.3973304
• Language: en

Subjects

• Geostatistics, COVID-19, SARS-CoV-2, hotspots, space-time analysis

Dates

• Publication date: 2020
• Issued: August 06, 2020

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

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