| Literature DB >> 34173570 |
Abstract
COVID-19 is pandemic, and likely to become endemic, possibly returning with greater virulence. Outlining potential public health actions, including hygiene measures, social distancing and face masks, and realistic future advances, this paper focuses on the consequences of taking no public health action; the role of natural changes such as weather; the adverse public health consequences of lockdowns; testing for surveillance and research purposes; testing to identify cases and contacts, including the role of antibody tests; the public health value of treatments; mobilising people who have recovered; population (a synonym for herd) immunity through vaccination and through natural infection; involving the entire population; and the need for public debate. Until there is a vaccine, population immunity is going to occur only from infection. Allowing infection in those at very low risk while making it safer for them and wider society needs consideration but is currently taboo. About 40-50% population immunity is sufficient to suppress an infection with a reproduction number of about 1 or slightly more. Importantly, in children and young people COVID-19 is currently rarely fatal, roughly comparable with influenza. The balance between the damage caused by COVID-19 and that caused by lockdowns needs quantifying. Public debate, including on population immunity, informed by epidemiological data, is now urgent.Entities:
Keywords: COVID-19; Disease control; Epidemic; Herd immunity; Pandemic; Population immunity; Prevention; Public health
Year: 2020 PMID: 34173570 PMCID: PMC7361085 DOI: 10.1016/j.puhip.2020.100031
Source DB: PubMed Journal: Public Health Pract (Oxf) ISSN: 2666-5352
The levels of prevention in relation to the causal triad of virus (agent), the human host and the environment (physical and social) and the control of Covid-19, applied at both individual and population levels (or both).
| The causal triad of agent, host and environment | |||
|---|---|---|---|
| Virus (agent) | Human host | Environment (physical and social) | |
| Research and actions to reduce the risk of cross-species crossover of microbes | Social/physical distancing | Public health surveillance & research, including analysis by subpopulations e.g. by sex, age group, social-economic group, ethnic group etc | |
| Minimise the adverse effects of infection upon individuals and communities through early detection once it has occurred in individuals or populations (secondary) | Research on how the virulence of the virus is changing over time to prepare early for future waves | Testing for early detection of individual cases and their contacts for early detection and optimal management | Surveillance as above with special consideration to people who are seriously ill and in health and social care facilities |
| Reduce adverse consequences for individuals and populations already affected (tertiary) | Implement acquired knowledge on how to reduce transmission, virulence and severe pathogenicity of the virus. | Devise new treatments to reduce adverse consequences including long-term disability and death. | Surveillance as above, especially of outbreaks to identify risk factors, both in care settings and in population settings |
Illustrative data from the USA, Centres for Disease Control up from 1st February 2020 to 8th of May 2020 to show the numbers and proportions of deaths from COVID-19 and influenza (data for the age groups from 0 to 14 years combined and percentages calculated by RSB).
| Country and age-group (denominator of deaths) | COVID-19 -number of deaths | COVID-19 as a proportion of all deaths (denominator) | influenza-number of deaths2 | influenza as a proportion of deaths (denominator) |
|---|---|---|---|---|
| US | ||||
| 0–14 years (5520) | 9 | 0.16 % | 81 | 1.47% |
| 15–24 years (6385) | 42 | 0.66% | 41 | 0.64% |
| 25–34 years (13,532) | 278 | 1.5% | 130 | 0.60 % |
| 35–44 years (19,539) | 707 | 3.62% | 206 | 1.05% |
| Data on intermediate age groups at the website below | ||||
| 75–84 years (177,917) | 10,196 | 5.73% | 1308 | 0.76% |
| 85 years and over (225,944) | 11,458 | 7.35% | 1210 | 0.54% |
| All ages (719,438) | 37,308 | 5.18% | 5846 | 0.81% |
https://www.cdc.gov/nchs/nvss/vsrr/COVID19/.
(accessed 13/5/2020).
Relevant notes of explanation from the website.
Number of deaths reported in this table are the total number of deaths received and coded as of the date of analysis and do not represent all deaths that occurred in that period.
Data during this period are incomplete because of the lag in time between when the death occurred and when the death certificate is completed, submitted to NCHS and processed for reporting purposes. This delay can range from 1 week to 8 weeks or more, depending on the jurisdiction, age, and cause of death.
3 Influenza death counts include deaths with pneumonia or COVID-19 also listed as a cause of death.
4 Population is based on 2018 postcensal estimates from the U.S. Census Bureau [9].
Deaths with confirmed or presumed COVID-19, coded to ICD–10 code U07.1.