• Search in all Repository
  • Literature and maps
  • Archeology
  • Mills database
  • Natural sciences

Search in Repository

How to search...

Advanced search

Search in Literature and maps

How to search...

Advanced search

Search in Archeology

How to search...

Advanced search

Search in Mills database

How to search...

Advanced search

Search in Natural sciences

How to search...

Advanced search

RCIN and OZwRCIN projects

Object

Title: Spatio-temporal analysis of the development of the COVID-19 epidemic (pandemic) in Poland: First phase of development

Creator:

Parysek, Jerzy J. : Autor Affiliation ORCID ; Mierzejewska, Lidia : Autor Affiliation ORCID

Date issued/created:

2021

Resource type:

Text

Subtitle:

Geographia Polonica Vol. 94 No. 3 (2021)

Publisher:

IGiPZ PAN

Place of publishing:

Warszawa

Description:

24 cm

Abstract:

The purpose of this study is to present a description of the course of the COVID-19 epidemic in Poland in the space-time dimension in the period from March 15th to August 8th 2020. The result of the conducted research is a presentation of the regional differentiation of the course of the epidemic in Poland, the comparison of the intensity of SARS-CoV-2 infections in particular voivodeships, the determination of the degree of similarity in the course of the pandemic development process in individual regions (voivodeships) of the country, and also the indication of the factors which could be taken into account when attempting to explain the interregional differences in the course of the epidemic. The conducted research shows, among other things, that: (1) in terms of time, the development of the epidemic was generally monotonic, however the increase in new infections was rather cyclical, (2) in the spatial dimension, the development of the epidemic was rather random, although the greatest number of infections was characteristic of the most populated regions of the country, (3) the level of infections in Poland was mainly positively influenced by: population density, working in industry, people beyond retirement, age as well as a poorly developed material base of inpatient care.

References:

Corner, L.A. (1994). Postmortem diagnosis of Mycobacterium bovis infection in cattle. Veterinary Microbiology, 40(1-2), 53-63. https://doi.org/10.1016/0378-1135(94)90046-9 DOI
Domański, R. (1990). Gospodarka przestrzenna. Warszawa: Wydawnictwo Naukowe PWN.
Domański, R. (1990). Zasady geografii społeczno-ekonomicznej. Warszawa-Poznań: Wydawnictwo Naukowe PWN.
Hägerstrandt, T. (1969). Innovation diffusion as a spatial process. Chicago-London: The University of Chicago Press.
Haggett, P. (1965). Locational analysis in human geography. London: Edward Arnold.
Haggett, P., Cliff, A.D., Frey, A. (1977). Locational methods. London: Edward Arnold.
Hellwig, Z. (1968). Zastosowanie metody taksonomicznej do podziału krajów ze względu na na poziom ich rozwoju oraz zasoby i strukturę wykwalifikowanych kadr. Przegląd Statystyczny, 15(4), 307-327.
Hingel, A.J. (1993). Note on 'A new model of European development': Innovation, technological development and Network-led integration. Brussels: Commission of the European Communities.
Jarynowski, A., Wójta-Kempa, M., Płatek, D., Krzowski, Ł., Belik, V. (2020). Mobilność, jako kluczowa zmienna wyjaśniająca regionalne zróżnicowanie w dynamice zakażeń. Wyniki wstępne. https://depot.ceon.pl/handle/123456789/18444
Kamiński, Z. (1982). Przestrzenna dyfuzja innowacji rolniczych. Poznań: Wydawnictwo Naukowe UAM.
Kretowicz, P. (2013). Nowe podejścia badawcze w geografii zdrowia w literaturze anglosaskiej. Przegląd Geograficzny, 85(4), 549-571. https://doi.org/10.7163/PrzG.2013.4.3 DOI
Lance, G.N., Williams, W.T. (1967). Computer programs for hierarchical polythetic classification ("Similarity Analyses"). The Computer Journal, 9(1), 60-64. https://doi.org/10.1093/comjnl/9.1.60 DOI
Łoboda, J. (1983). Rozwój koncepcji i modeli przestrzennej dyfuzji innowacji. Wrocław: Wydawnictwo Uniwersytetu Wrocławskiego.
Mellacher, P. (2020). COVID-Town: An integrated economic-epidemiological agent-based model. https://arxiv.org/abs/2011.06289v1
Ormerod, P. (1993). Notes on unemployment. Paper presented at Unemployment Conference at Wiston House, Sussex (September 1993), London.
Parysek, J. (1982). Modele klasyfikacji w geografii. Poznań: Wydawnictwo Naukowe Uniwersytetu im. A. Mickiewicza w Poznaniu.
Parysek, J. (1997). Podstawy gospodarki lokalnej. Poznań: Wydawnictwo Naukowe Uniwersytetu im. A. Mickiewicza w Poznaniu.
Parysek, J. (2002). Metropolises and processes of metropolisation. Geographia Polonica, 75(1), 25-42.
Parysek, J. (2004). Trajektorie rozwoju miast polskich w latach 1992-2002. In: J. Parysek (Ed.), Rozwój regionalny i lokalny w Polsce w latach 1989-2002 (pp. 117-132). Poznań: Bogucki Wydawnictwo Naukowe.
Parysek, J. (2006). Wprowadzenie do gospodarki przestrzennej. Poznań: Wydawnictwo Naukowe Uniwersytetu im. A. Mickiewicza w Poznaniu.
Parysek, J., Mierzejewska, L. (2012). Trajectories of the demographic development of Poland after 1999. Bulletin of Geography. Socio-Economic Series, 17, 109-125. DOI
Pisano, C. (2020). Strategies for post-COVID cities: An insight to Paris En Commun and Milano 2020. Sustainability, 12, 1-16. https://doi.org/10.3390/su12155883 DOI
Pred, A. (1977). The choreography of existence. Comment s on Hagerstrand's time geography and its usefulness. Economic Geography, 52(2), 207-221. DOI
Rogalski, M. (2021). Dane o COVID-19 według powiatów. https://bit.ly/covid19_powiaty
Rogalski, M., Dadel M., Sobkowska K., Rusinek B., Sikorski, M., Kowal M., Tarnowski, P., Supko, W., Dziedzic, T., Zespół BIQ Data Wyborcza. (2020). Dane o COVID-19 według powiatów. https://bit.ly/covid19_powiaty
Śleszyński, P. (2020). Prawidłowości przebiegu dyfuzji przestrzennej rejestrowanych zakażeń koronawirusem SARS-CoV-2 w Polsce w pierwszych 100 dniach epidemii. Czasopismo Geograficzne, 91(1-2), 5-18.
Steinhausen, D., Langer, K. (1977). Clusteranalyse: Einführung in Methoden und Verfahren der automatischen Klassifikation; mit zahlreichen Algorithmen, Fortran-Programmen, Anwendungsbeispielen und einer Kurzdarstellung der multivariaten statistischen Verfahren. Berlin-New York: Walter de Gruyter. DOI

Relation:

Geographia Polonica

Volume:

94

Issue:

3

Start page:

325

End page:

354

Detailed Resource Type:

Article

Resource Identifier:

oai:rcin.org.pl:211578 ; 0016-7282 (print) ; 2300-7362 (online) ; 10.7163/GPol.0208

Source:

CBGiOS. IGiPZ PAN, call nos.: Cz.2085, Cz.2173, Cz.2406 ; click here to follow the link

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Institute of Geography and Spatial Organization of the Polish Academy of Sciences

Original in:

Central Library of Geography and Environmental Protection. Institute of Geography and Spatial Organization PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open

×

Citation

Citation style:

This page uses 'cookies'. More information