Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa

Arminn Potgieter; Inger Fabris-Rotelli; Zaid Kimmie; Nontembeko Dudeni-Tlhone; Jenny Holloway; Charl Janse Van Rensburg; Renate Thiede; Pravesh Debba; Raeesa Docrat; Nada Abdelatif; Sibusisiwe Makhanya

doi:10.20944/preprints202106.0211.v1

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preprints.org > computer science and mathematics > algebra and number theory > doi: 10.20944/preprints202106.0211.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa

Arminn Potgieter

Inger Fabris-Rotelli

^* ,

Zaid Kimmie

Nontembeko Dudeni-Tlhone

Jenny Holloway

Charl Janse Van Rensburg

Version 1 : Received: 6 June 2021 / Approved: 8 June 2021 / Online: 8 June 2021 (10:56:22 CEST)

How to cite: Potgieter, A.; Fabris-Rotelli, I.; Kimmie, Z.; Dudeni-Tlhone, N.; Holloway, J.; Janse Van Rensburg, C.; Thiede, R.; Debba, P.; Docrat, R.; Abdelatif, N.; Makhanya, S. Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa. Preprints 2021, 2021060211. https://doi.org/10.20944/preprints202106.0211.v1 Potgieter, A.; Fabris-Rotelli, I.; Kimmie, Z.; Dudeni-Tlhone, N.; Holloway, J.; Janse Van Rensburg, C.; Thiede, R.; Debba, P.; Docrat, R.; Abdelatif, N.; Makhanya, S. Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa. Preprints 2021, 2021060211. https://doi.org/10.20944/preprints202106.0211.v1

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MDPI and ACS Style

Potgieter, A.; Fabris-Rotelli, I.; Kimmie, Z.; Dudeni-Tlhone, N.; Holloway, J.; Janse Van Rensburg, C.; Thiede, R.; Debba, P.; Docrat, R.; Abdelatif, N.; Makhanya, S. Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa. Preprints 2021, 2021060211. https://doi.org/10.20944/preprints202106.0211.v1

APA Style

Potgieter, A., Fabris-Rotelli, I., Kimmie, Z., Dudeni-Tlhone, N., Holloway, J., Janse Van Rensburg, C., Thiede, R., Debba, P., Docrat, R., Abdelatif, N., & Makhanya, S. (2021). Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa. Preprints. https://doi.org/10.20944/preprints202106.0211.v1

Chicago/Turabian Style

Potgieter, A., Nada Abdelatif and Sibusisiwe Makhanya. 2021 "Modelling Representative Population Mobility for COVID-19 Spatial Transmission in South Africa" Preprints. https://doi.org/10.20944/preprints202106.0211.v1

Abstract

The COVID-19 pandemic starting in the first half of 2020 has changed the lives of everyone across the world. Reduced mobility was essential due to it being the largest impact possible against the spread of the little understood SARS-CoV-2 virus. To understand the spread, a comprehension of human mobility patterns is needed. The use of mobility data in modelling is thus essential to capture the intrinsic spread through the population. It is necessary to determine to what extent mobility data convey the same message of mobility within a region. This paper compares different mobility data sources by constructing spatial weight matrices and further compares the results through hierarchical clustering. This provides insight for the user into which data provides what type of information and in what situations a particular source is most useful.

Keywords

COVID-19; spatial; mobility; spatial weight matrices; principal component analysis; hierarchical clustering

Subject

Computer Science and Mathematics, Algebra and Number Theory

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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