Mateusz Ciski
Dados Biográficos
| ID | 6313429 |
|---|---|
| NOME | Mateusz Ciski |
| PRENOMES | Mateusz |
| SOBRENOME | Ciski |
| ASSINATURA | CISKI M |
| AFILIAÇÕES | University of Warmia and Mazury in Olsztyn |
| ORCID | 0000-0002-4919-9570 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2022 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2023 |
| ÍNDICE H | 0 |
Multiscale Geographically Weighted Regression in the Investigation of Local Covid-19 Anomalies Based on Population Age Structure in Poland
A growing number of various studies focusing on different aspects of the COVID-19 pandemic are emerging as the pandemic continues. Three variables that are most commonly used to describe the course of the COVID-19 pandemic worldwide are the number of confirmed SARS-CoV-2 cases, the number of confirmed COVID-19 deaths, and the number of COVID-19 vaccine doses administered. In this paper, using the multiscale geographically weighted regression, an …
Influence of the Demographic, Social, and Environmental Factors on the Covid-19 Pandemic—Analysis of the Local Variations Using Geographically Weighted Regression
As the COVID-19 pandemic continues, an increasing number of different research studies focusing on various aspects of the pandemic are emerging. Most of the studies focus on the medical aspects of the pandemic, as well as on the impact of COVID-19 on various areas of life; less emphasis is put on analyzing the influence of socio-environmental factors on the spread of the pandemic. In this paper, using the geographically weighted regression method…
Residential real estate investors' motives under pandemic conditions
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Influence of the Demographic, Social, and Environmental Factors on the Covid-19 Pandemic—Analysis of the Local Variations Using Geographically Weighted Regression
As the COVID-19 pandemic continues, an increasing number of different research studies focusing on various aspects of the pandemic are emerging. Most of the studies focus on the medical aspects of the pandemic, as well as on the impact of COVID-19 on various areas of life; less emphasis is put on analyzing the influence of socio-environmental factors on the spread of the pandemic. In this paper, using the geographically weighted regression method…
Residential real estate investors' motives under pandemic conditions
Multiscale Geographically Weighted Regression in the Investigation of Local Covid-19 Anomalies Based on Population Age Structure in Poland
A growing number of various studies focusing on different aspects of the COVID-19 pandemic are emerging as the pandemic continues. Three variables that are most commonly used to describe the course of the COVID-19 pandemic worldwide are the number of confirmed SARS-CoV-2 cases, the number of confirmed COVID-19 deaths, and the number of COVID-19 vaccine doses administered. In this paper, using the multiscale geographically weighted regression, an …
Coronavirus disease 2019 (COVID-19 (2 obras) · COVID-19 epidemiological studies (2 obras) · COVID-19 Pandemic Impacts (2 obras) · Demography (2 obras) · Demography (2 obras) · Economics (2 obras) · Geography (2 obras) · Medicine (2 obras) · Pandemic (2 obras) · Population (2 obras)