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Wyświetlanie 1-2 z 2
Tytuł:
Access to healthcare as an important moderating variable for understanding the geography of COVID-19 outcomes - preliminary insights from Poland
Autorzy:
Jarynowski, Andrzej
Belik, Vitaly
Powiązania:
https://bibliotekanauki.pl/articles/2203180.pdf
Data publikacji:
2022
Wydawca:
Gdański Uniwersytet Medyczny
Tematy:
healthcare access
health inequalities
COVID-19
statistical modelling
immunity level
quasi-causal diagrams
Opis:
Introducotin: Biases in the measurement of COVID-19 burden and the uncertainty in esmtiaotin of the corresponding epidemiologic indexes are known and common phenomena in infecotius diseases. We invesgtiated to what extent healthcare access (HCA)-related supply/demand interfered with the registered data on COVID-19 in Poland. Material and Methods: We ran a mulptile linear regression model with interacotins to explain the geographic variaotin in seroprevalence, hospitalizaotins (on the voivodeship - NUTS-2 level) and current (beginning of the 4 th wave of COVID cases - 15.09-21.11.2021) case nocftiaotins/crude mortality (on poviat - old NUTS-4 level). We took vaccinaotin coverage and cumulavtie case nocftiaotins up to the so called 3rd wave as predictor variables and supply/demand (HCA) as moderantig variables. Results: HCA with interacntig terms (mainly demand) explained to the great extent the variance of current incidence and most of the variance in the current mortality rates. HCA (mainly supply) was signicfiantly moderantig cumulavtie case nocftiaotins unlti the 3rd wave of cases, thus explaining the variance in seroprevalence and hospitalizaotin. Conclusion: Seeking causal relaotins between the vaccinaotinor infecotin-gained immunity level and the current infecotin dynamics could be misleading without understanding the socio-epidemiologic context such as the moderantig role of HCA (sensu lato). Aeftr quancftiation, HCA could be incorporated into epidemiologic models for improved prediction of the actual disease burden. Jarynowski A, Belik V. Access to healthcare as an important moderating variable for understanding the geography of COVID-19 outcomes - preliminary insights from Poland. Eur J Transl Clin Med. 2022;5(2):5-15.
Źródło:
European Journal of Translational and Clinical Medicine; 2022, 5, 2; 5-15
2657-3148
2657-3156
Pojawia się w:
European Journal of Translational and Clinical Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Access to healthcare as an important moderating variable for understanding geography of COVID-19 outcomes – preliminary insights from Poland
Autorzy:
Jarynowski, Andrzej
Belik, Vitaly
Powiązania:
https://bibliotekanauki.pl/articles/25711060.pdf
Data publikacji:
2022-09-12
Wydawca:
Gdański Uniwersytet Medyczny
Tematy:
health inequalities
statistical modelling
COVID-19
healthcare access
immunity level
quasi-causal diagrams
Opis:
Introduction Biases in the measurement of COVID-19 burden and the uncertainty in estimation of the corresponding epidemiologic indexes are known and common phenomena. We investigated to what extent healthcare access (HCA)-related supply/demand interfered with the registered data on COVID-19 in Poland. Material and Methods We ran a multiple linear regression model with interactions to explain the geographic variation in seroprevalence, hospitalizations (on the voivodeship level) and current (beginning of the 4th wave of COVID cases – 15.09-21.11.2021) case notifications/crude mortality (on poviat level). We took vaccination coverage and cumulative case notifications up to the so-called 3rd wave as predictor variables and supply/demand (HCA) as moderating variables. Results HCA with interacting terms (mainly demand) explained to the great extent the variance of current incidence and most of the variance in the current mortality rates. HCA (mainly supply) was significantly moderating cumulative case notifications until the 3rd wave of cases, thus explaining the variance in seroprevalence and hospitalization. Conclusions Seeking causal relations between the vaccination- or infection-gained immunity and the current infection dynamics could be misleading without understanding the socio-epidemiologic context such as the moderating role of HCA (sensu lato). After quantification, HCA could be incorporated into epidemiologic models for improved prediction of the actual disease burden.
Źródło:
European Journal of Translational and Clinical Medicine; 2022, 5, 2; 5-15
2657-3148
2657-3156
Pojawia się w:
European Journal of Translational and Clinical Medicine
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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