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1.
Int J Environ Res Public Health ; 17(9)2020 05 07.
Article in English | MEDLINE | ID: covidwho-1725602

ABSTRACT

COVID-19 is an infectious disease caused by a novel coronavirus, which first appeared in China in late 2019, and reached pandemic distribution in early 2020. The first major outbreak in Europe occurred in Northern Italy where it spread to neighboring countries, notably to Austria, where skiing resorts served as a main transmission hub. Soon, the Austrian government introduced strict measures to curb the spread of the virus. Using publicly available data, we assessed the efficiency of the governmental measures. We assumed an average incubation period of one week and an average duration of infectivity of 10 days. One week after the introduction of strict measures, the increase in daily new cases was reversed, and the reproduction number dropped. The crude estimates tended to overestimate the reproduction rate in the early phase. Publicly available data provide a first estimate about the effectiveness of public health measures. However, more data are needed for an unbiased assessment.


Subject(s)
Coronavirus Infections/diagnosis , Coronavirus , Disease Outbreaks/prevention & control , Pandemics/prevention & control , Pneumonia, Viral/diagnosis , Public Health , Austria/epidemiology , Betacoronavirus , COVID-19 , Coronavirus/isolation & purification , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Humans , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , SARS-CoV-2 , Time Factors
2.
Wien Klin Wochenschr ; 133(17-18): 991, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1291218
3.
Wien Klin Wochenschr ; 133(17-18): 951-957, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1219701

ABSTRACT

We performed a time series analysis in Vienna, Austria, investigating the temporal association between daily air pollution (nitrogen dioxide, NO2 and particulate matter smaller than 10 µm, PM10) concentration and risk of coronavirus disease 2019 (COVID-19) infection and death. Data covering about 2 months (March-April 2020) were retrieved from public databases. Infection risk was defined as the ratio between infected and infectious. In a separate sensitivity analysis different models were applied to estimate the number of infectious people per day. The impact of air pollution was assessed through a linear regression on the natural logarithm of infection risk. Risk of COVID-19 mortality was estimated by Poisson regression. Both pollutants were positively correlated with the risk of infection with the coefficient for NO2 being 0.032 and for PM10 0.014. That association was significant for the irritant gas (p = 0.012) but not for particles (p = 0.22). Pollutants did not affect COVID-19-related mortality. The study findings might have wider implications on an interaction between air pollution and infectious agents.


Subject(s)
Air Pollutants , Air Pollution , COVID-19 , Air Pollutants/adverse effects , Air Pollution/adverse effects , Humans , Particulate Matter/adverse effects , Particulate Matter/analysis , SARS-CoV-2
4.
Int J Environ Res Public Health ; 17(24)2020 12 11.
Article in English | MEDLINE | ID: covidwho-972836

ABSTRACT

We determined the impact of air pollution on COVID-19-related mortality and reported-case incidence, analyzing the correlation of infection case numbers and outcomes with previous-year air pollution data from the populations of 23 Viennese districts. Time at risk started in a district when the first COVID-19 case was diagnosed. High exposure levels were defined as living in a district with an average (year 2019) concentration of nitrogen dioxide (NO2) and/or particulate matter (PM10) higher than the upper quartile (30 and 20 µg/m3, respectively) of all districts. The total population of the individual districts was followed until diagnosis of or death from COVID-19, or until 21 April 2020, whichever came first. Cox proportional hazard regression was performed after controlling for percentage of population aged 65 and more, percentage of foreigners and of persons with a university degree, unemployment rate, and population density. PM10 and NO2 were significantly and positively associated with the risk of a COVID-19 diagnosis (hazard ratio (HR) = 1.44 and 1.16, respectively). NO2 was also significantly associated with death from COVID-19 (HR = 1.72). Even within a single city, higher levels of air pollution are associated with an adverse impact on COVID-19 risk.


Subject(s)
Air Pollution/adverse effects , COVID-19/mortality , Environmental Exposure/adverse effects , Air Pollution/analysis , Austria/epidemiology , Environmental Exposure/analysis , Humans , Incidence , Nitrogen Dioxide/analysis , Particulate Matter/analysis , Time Factors
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