Do COVID19 infection rates change over time and space? Population density and socio-economic measures as regressors

Yuval Arbel, Chaim Fialkoff, Amichai Kerner, Miryam Kerner

Open source

DOI: 10.1016/j.cities.2021.103400
Published: 2022-01
Container: Cities
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.cities.2021.103400,
  title = {Do COVID19 infection rates change over time and space? Population density and socio-economic measures as regressors},
  author = {Yuval Arbel and Chaim Fialkoff and Amichai Kerner and Miryam Kerner},
  year = {2022},
  journal = {Cities},
  doi = {10.1016/j.cities.2021.103400},
  url = {https://doi.org/10.1016/j.cities.2021.103400}
}

RIS

TY  - JOUR
TI  - Do COVID19 infection rates change over time and space? Population density and socio-economic measures as regressors
AU  - Yuval Arbel
AU  - Chaim Fialkoff
AU  - Amichai Kerner
AU  - Miryam Kerner
PY  - 2022
JO  - Cities
DO  - 10.1016/j.cities.2021.103400
UR  - https://doi.org/10.1016/j.cities.2021.103400
ER  -

APA

Arbel, Y., Fialkoff, C., Kerner, A., & Kerner, M. (2022). Do COVID19 infection rates change over time and space? Population density and socio-economic measures as regressors. Cities. https://doi.org/10.1016/j.cities.2021.103400

Source records

crossref · retrieved 2026-11-11T04:54:19.471Z