What matters: non-pharmaceutical interventions for COVID-19 in Europe
Abstract Objectives The purpose of this study is to describe the situation of COVID-19 in European countries and to identify important factors related to prevention and control. Methods We obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-01-01
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| Series: | Antimicrobial Resistance and Infection Control |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13756-021-01039-x |
| _version_ | 1798026470807830528 |
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| author | Yan Liu Qiuyan Yu Haoyu Wen Fang Shi Fang Wang Yudi Zhao Qiumian Hong Chuanhua Yu |
| author_facet | Yan Liu Qiuyan Yu Haoyu Wen Fang Shi Fang Wang Yudi Zhao Qiumian Hong Chuanhua Yu |
| author_sort | Yan Liu |
| collection | DOAJ |
| description | Abstract Objectives The purpose of this study is to describe the situation of COVID-19 in European countries and to identify important factors related to prevention and control. Methods We obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We calculated the Rt values of 51 countries in Europe under different prevention and control measures. We used lasso regression to screen factors associated with morbidity and mortality. For the selected variables, we used quantile regression to analyse the relevant influencing factors in countries with different levels of morbidity or mortality. Results The government has a great influence on the change in Rt value through prevention and control measures. The most important factors for personal and group prevention and control are the mobility index, testing, the closure of educational facilities, restrictions on large-scale gatherings, and commercial restrictions. The number of ICU beds and doctors in medical resources are also key factors. Basic sanitation facilities, such as the proportion of safe drinking water, also have an impact on the COVID-19 epidemic. Conclusions We described the current status of COVID-19 in European countries. Our findings demonstrated key factors in individual and group prevention measures. |
| first_indexed | 2024-04-11T18:37:02Z |
| format | Article |
| id | doaj.art-f6125111037345d9b10624391a8d2b0a |
| institution | Directory Open Access Journal |
| issn | 2047-2994 |
| language | English |
| last_indexed | 2024-04-11T18:37:02Z |
| publishDate | 2022-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Antimicrobial Resistance and Infection Control |
| spelling | doaj.art-f6125111037345d9b10624391a8d2b0a2022-12-22T04:09:15ZengBMCAntimicrobial Resistance and Infection Control2047-29942022-01-011111910.1186/s13756-021-01039-xWhat matters: non-pharmaceutical interventions for COVID-19 in EuropeYan Liu0Qiuyan Yu1Haoyu Wen2Fang Shi3Fang Wang4Yudi Zhao5Qiumian Hong6Chuanhua Yu7Department of Epidemiology and Biostatistics, School of Public Health, Wuhan UniversityDepartment of Epidemiology and Medicine Statistics,Public Health and Management School, Wenzhou Medical UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan UniversitySchool of Public Health, Xuzhou Medical UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Wuhan UniversityAbstract Objectives The purpose of this study is to describe the situation of COVID-19 in European countries and to identify important factors related to prevention and control. Methods We obtained data from World Health Statistics 2020 and the Institute for Health Metrics and Evaluation (IHME). We calculated the Rt values of 51 countries in Europe under different prevention and control measures. We used lasso regression to screen factors associated with morbidity and mortality. For the selected variables, we used quantile regression to analyse the relevant influencing factors in countries with different levels of morbidity or mortality. Results The government has a great influence on the change in Rt value through prevention and control measures. The most important factors for personal and group prevention and control are the mobility index, testing, the closure of educational facilities, restrictions on large-scale gatherings, and commercial restrictions. The number of ICU beds and doctors in medical resources are also key factors. Basic sanitation facilities, such as the proportion of safe drinking water, also have an impact on the COVID-19 epidemic. Conclusions We described the current status of COVID-19 in European countries. Our findings demonstrated key factors in individual and group prevention measures.https://doi.org/10.1186/s13756-021-01039-xNon-pharmaceutical interventionsCOVID-19EuropeLasso regressionQuantile regression |
| spellingShingle | Yan Liu Qiuyan Yu Haoyu Wen Fang Shi Fang Wang Yudi Zhao Qiumian Hong Chuanhua Yu What matters: non-pharmaceutical interventions for COVID-19 in Europe Antimicrobial Resistance and Infection Control Non-pharmaceutical interventions COVID-19 Europe Lasso regression Quantile regression |
| title | What matters: non-pharmaceutical interventions for COVID-19 in Europe |
| title_full | What matters: non-pharmaceutical interventions for COVID-19 in Europe |
| title_fullStr | What matters: non-pharmaceutical interventions for COVID-19 in Europe |
| title_full_unstemmed | What matters: non-pharmaceutical interventions for COVID-19 in Europe |
| title_short | What matters: non-pharmaceutical interventions for COVID-19 in Europe |
| title_sort | what matters non pharmaceutical interventions for covid 19 in europe |
| topic | Non-pharmaceutical interventions COVID-19 Europe Lasso regression Quantile regression |
| url | https://doi.org/10.1186/s13756-021-01039-x |
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