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Int J Environ Res Public Health ; 19(20)2022 Oct 14.
Article in English | MEDLINE | ID: covidwho-2071455

ABSTRACT

BACKGROUND: Google Trends has turned out to be an appropriate tool for evaluating correlations and prognostic modelling regarding infectious diseases. The possibility of selecting a vaccine against COVID-19 has increased social interest in particular vaccines. The objective of this study was to show dependencies between the frequency of searches for COVID-19 vaccinations and the number of vaccinated people in Poland, along with epidemiological data. METHODS: Data were collected regarding Google searches for COVID-19 vaccines, the number of people in Poland vaccinated against COVID-19, the number of new cases, and the number of deaths due to COVID-19. Data were filtered from 27 December 2020 to 1 September 2021. RESULTS: The number of new vaccinations smoothed per million correlated most strongly with searches for the word 'Pfizer' in Google Trends (Kendall's tau = 0.46, p < 0.001). The number of new deaths correlated most strongly with the search phrase 'AstraZeneca' (Kendall's tau = 0.46, p < 0.001). The number of new cases per million correlated most strongly with searches for 'AstraZeneca' (Kendall's tau = 0.49, p < 0.001). The maximum daily number of searches ranged between 110 and 130. A significant interest in COVID-19 vaccines was observed from February to June 2021, i.e., in the period of a considerable increase in the number of new cases and new deaths due to COVID-19. CONCLUSIONS: A significant increase in interest in COVID-19 vaccines was observed from February to June 2021, i.e., in the period of gradually extended access to vaccinations, as well as a considerable increase in the number of new cases and new deaths due to COVID-19. The use of Google Trends with relevant keywords and a comparison with the course of the COVID-19 pandemic facilitates evaluation of the relationship between the frequency and types of searches for COVID-19 vaccines and epidemiological data.


Subject(s)
COVID-19 Vaccines , COVID-19 , Humans , COVID-19 Vaccines/therapeutic use , Pandemics/prevention & control , COVID-19/epidemiology , COVID-19/prevention & control , Poland/epidemiology , Search Engine
2.
Med Sci Monit ; 26: e924702, 2020 May 07.
Article in English | MEDLINE | ID: covidwho-217696

ABSTRACT

BACKGROUND The World Health Organization has declared COVID-19 a global pandemic. This paper presents an epidemiological analysis of the first phase of the COVID-19 epidemic in Poland. MATERIAL AND METHODS This cross-sectional study was carried out between 3 and 27 March 2020 on a sample of 1389 laboratory-confirmed COVID-19 cases in Poland. Data were obtained from epidemiological reports collected by the Chief Sanitary Inspectorate. Analysis includes the number of COVID-19 cases, number of deaths, number of hospitalizations, number of people quarantined, and number of laboratory tests performed. RESULTS The first case was confirmed on 4 March 2020. Over 24 days after the first case, the total number of confirmed infections rose to 1389 (34,000 laboratory tests were performed). The highest incidence rates (over 5 per 100,000) were observed in the 2 central administrative regions (Mazowieckie and Lódzkie) and in the south-western region of Dolnoslaskie, which borders the Czech Republic and Germany. Based on available data about age and sex, a clearly higher incidence was observed in the 20-29 years (4.0 per 100,000), 40-49 years (4.1 per 100,000), and 50-59 years (4.3 per 100,000) age groups. In the period analyzed (24 days), there were 16 confirmed deaths (average age 65.5 years; 81.2% males). CONCLUSIONS The proportion of women and men with confirmed COVID-19 infection was similar to the sex ratio in the general population. Infections were relatively less common in those aged under 20 years. The largest numbers of confirmed cases were detected in 3 of the 4 largest cities, each of which has an international airport.


Subject(s)
Coronavirus Infections/epidemiology , Coronavirus , Pandemics , Pneumonia, Viral/epidemiology , Adolescent , Adult , Age Distribution , Aged , Aged, 80 and over , Betacoronavirus , COVID-19 , Child , Coronavirus Infections/diagnosis , Cross-Sectional Studies , Disease Outbreaks , Female , Humans , Incidence , Male , Middle Aged , Pneumonia, Viral/diagnosis , Poland/epidemiology , SARS-CoV-2 , Sex Distribution , Travel , Young Adult
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