| Literature DB >> 34886181 |
Elena Belova1, Ekaterina Shashina1, Denis Shcherbakov1, Yury Zhernov1, Vitaly Sukhov1, Nadezhda Zabroda1, Valentina Makarova1, Tatiana Isiutina-Fedotkova1, Svetlana Mishina1, Anton Simanovsky1, Oleg Mitrokhin1.
Abstract
Due to the conditions that cause the spread of COVID-19, national health systems worldwide are under severe strain. Most countries face similar difficulties such as a lack of medical personnel and equipment and tools for diagnosis and treatment, overrun hospitals, and forced restriction of planned medical care. Public authorities in healthcare take the following measures due to increased pressure: limiting the transmission and spread of the virus (social distancing and quarantine), mobilizing medical personnel, ensuring the availability of diagnostic and treatment tools, and providing a sufficient number of premises, which are not always suitable for the provision of medical care (buildings and structures). To date, the stages of management decision-making to counter coronavirus infection and the risk of COVID-19 transmission at various facilities have not been analyzed. The authors propose a methodology for assessing the COVID-19 transmission risk at various social and transport facilities. A survey of 1325 respondents from Moscow demonstrated the most significant risk factors, such as visitation avoidance, infection risk, and facemask wearing. Risk categories were determined and objects classified according to high, medium, and low-risk levels.Entities:
Keywords: COVID-19; governance; public health; risk assessment
Mesh:
Year: 2021 PMID: 34886181 PMCID: PMC8657366 DOI: 10.3390/ijerph182312456
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Hierarchy of informative features (risk criteria).
| № | Risk Criterion | 1-r | Rating |
|---|---|---|---|
| 15 | Social distancing | 0.691358 | 16.5 |
| 16 | Social distancing when visiting medical organizations | 0.691358 | 16.5 |
| 13 | Visiting polyclinics | 0.678507 | 14.5 |
| 14 | Hospital visits for patients with common illnesses (not COVID-19) | 0.678507 | 14.5 |
| 12 | Failure to comply with the mask regime in the workplace | 0.594983 | 13 |
| 11 | Traveling by public ground transport | 0.583966 | 12 |
| 10 | Visiting hairdressing salons, beauty salons | 0.581808 | 11 |
| 7 | Visiting grocery stores | 0.524694 | 7.5 |
| 8 | Visiting street outlets, kiosks | 0.524694 | 7.5 |
| 5 | Visiting pharmacies | 0.503621 | 5.5 |
| 6 | Visiting shops selling industrial and household goods | 0.503621 | 5.5 |
| 3 | Subway rides | 0.487818 | 3.5 |
| 4 | Trips in suburban electric trains (electric trains) | 0.487818 | 3.5 |
| 1 | Compliance with the mask regime in-ground public transport | 0.324156 | 1.5 |
| 2 | Compliance with the mask regime when visiting a store, pharmacy, etc. | 0.324156 | 1.5 |
Low—orange; average—green; high—blue.
Assessment in points by gradation of risk criteria (according to the respondents’ answers).
| № | Risk Criterion | Gradation | Score | Average |
|---|---|---|---|---|
| 16 | Social distancing when visiting medical organizations | Yes | 1 | 2.0 |
| No | 3 | |||
| 15 | Social distancing | Yes | 0.5 | 1.75 |
| No | 3 | |||
| 14 | Hospital visits for patients with common illnesses (not COVID-19) | Yes | 3.5 | 1.75 |
| No | 0 | |||
| 13 | Visiting polyclinics | Yes | 3.5 | 1.75 |
| No | 0 | |||
| 4 | Trips in suburban electric trains (electric trains) | up to 1 h | 0.5 | 1.75 |
| 1–1.5 h | 1 | |||
| 2 h or more | 2 | |||
| 11 | Traveling by public ground transport | up to 1 h | 0.5 | 1.75 |
| 1–1.5 h | 1 | |||
| 2 h or more | 2 | |||
| 3 | Subway rides | up to 1 h | 0.5 | 1.75 |
| 1–1.5 h | 1 | |||
| 2 h or more | 2 | |||
| 2 | Compliance with the mask regime when visiting a store, pharmacy, etc. | Yes | 0.5 | 1.25 |
| No | 2 | |||
| 1 | Compliance with the mask regime in-ground public transport | Yes | 0.5 | 1.25 |
| No | 2 | |||
| 8 | Visiting street outlets, kiosks | Yes | 1 | 0.5 |
| No | 0 | |||
| 7 | Visiting grocery stores | Yes | 1 | 0.5 |
| No | 0 | |||
| 10 | Visiting hairdressing salons, beauty salons | Yes | 1 | 0.5 |
| No | 0 | |||
| 6 | Visiting shops selling industrial and household goods | Yes | 1 | 0.5 |
| No | 0 | |||
| 5 | Visiting pharmacies | Yes | 1 | 0.5 |
| No | 0 | |||
| 12 | Failure to comply with the mask regime in the workplace | Yes | 1 | 0.5 |
| No | 0 |
Low—orange; average—green; high—blue.
Classification of activities (professions) by risk of infection with COVID-19 (recipients of COVID-19).
| № | Risk Categories | Infrastructure Facilities/Institutions | PPE Use |
|---|---|---|---|
| 1 | High | Medical institutions | |
| Public transport facilities, including surface and underground (metro), suburban rail links | |||
| Homes for the elderly and disabled | |||
| 2 | Average | Objects of aviation and railway transport | |
| Food trade facilities | |||
| Pharmacy institutions | |||
| 2 | Low | Office rooms | |
| Objects of non-food trade | |||
| Public catering facilities |
Step-by-step measures adopted by Russian governmental bodies to combat COVID-19.
| N | Activities | Stages | ||
|---|---|---|---|---|
| Stage 1 | Stage 2 | Stage 3 | ||
| 1 | Administrative | Use of masks and gloves by the population, disinfection of surfaces, disinfection of air in public buildings, social distancing | Elderly isolation, telecommuting, and learning | Lockdown: the population is at home, the termination of the work of enterprises, except for vital |
| 2 | Diagnostic testing | Development of diagnostic tests and their approbation | Test registration and industrial production, population testing | Mass testing of the population |
| 3 | Vaccination | Vaccine development and validation | Registration of vaccines, industrial production, the start of vaccination | Mass vaccination of the population |
| 4 | Organizational and medical | Construction of modular hospitals | Conversion of hospitals for infectious diseases, bed reserves | Organization of temporary hospitals (exhibition and concert halls) |
| 5 | Personnel | Training of GPs to work with infectious patients (reprofiling of specialists) | Attracting volunteers and medical students | Recruiting retired healthcare workers in hospitals |