scholarly journals Modelling the impact of shutdowns on resurging SARS-CoV-2 transmission in Canada

2021 ◽  
Vol 8 (5) ◽  
Author(s):  
Victoria Ng ◽  
Aamir Fazil ◽  
Lisa A. Waddell ◽  
Patricia Turgeon ◽  
Ainsley Otten ◽  
...  
Keyword(s):  
Public Health ◽  
Negative Relationship ◽  
Local Context ◽  
Socioeconomic Impact ◽  
Baseline Scenario ◽  
Agent Based ◽  
Health Measures ◽  
Trade Offs ◽  
Community Transmission ◽  
The Impact

Background: Shutdowns are enacted when alternative public health measures are insufficient to control the epidemic and the population is largely susceptible. An age-stratified agent-based model was developed to explore the impact of shutdowns to control SARS-CoV-2 transmission in Canada under the assumption that current efforts to control the epidemic remains insufficient and in the absence of a vaccine. Methods: We estimated the current levels of interventions in Canada to generate a baseline scenario from 7 February to 7 September 2020. Four aspects of shutdowns were explored in scenarios that ran from 8 September 2020 to 7 January 2022, these included the impact of how quickly shutdowns are implemented, the duration of shutdowns, the minimum break (delays) between shutdowns and the types of sectors to shutdown. Comparisons among scenarios were made using cases, hospitalizations, deaths and shutdown days during the 700-day model runs. Results: We found a negative relationship between reducing SARS-CoV-2 transmission and the number of shutdown days. However, we also found that for shutdowns to be optimally effective, they need to be implemented fast with minimal delay, initiated when community transmission is low, sustained for an adequate period and be stringent and target multiple sectors, particularly those driving transmission. By applying shutdowns in this manner, the total number of shutdown days could be reduced compared to delaying the shutdowns until further into the epidemic when transmission is higher and/or implementing short insufficient shutdowns that would require frequent re-implementation. This paper contrasts a range of shutdown strategies and trade-offs between health outcomes and economic metrics that need to be considered within the local context. Interpretation: Given the immense socioeconomic impact of shutdowns, they should be avoided where possible and used only when other public health measures are insufficient to control the epidemic. If used, the time it buys to delay the epidemic should be used to enhance other equally effective, but less disruptive, public health measures.

scholarly journals Strict Physical Distancing May Be More Efficient: A Mathematical Argument for Making Lockdowns Count

2020 ◽  
Author(s):  
Scott R Sheffield ◽  
Anna York ◽  
Nicole A Swartwood ◽  
Alyssa Bilinski ◽  
Anne Williamson ◽  
...  
Keyword(s):  
Public Health ◽  
Well Being ◽  
Simple Mathematical Model ◽  
Global Public Health ◽  
Economic Costs ◽  
Health Measures ◽  
Trade Offs ◽  
The Impact ◽  
Model Structures ◽  
Economic Well Being

COVID-19 created a global public health and economic emergency. Policymakers acted quickly and decisively to contain the spread of disease through physical distancing measures. However, these measures also impact physical, mental and economic well-being, creating difficult trade-offs. Here we use a simple mathematical model to explore the balance between public health measures and their associated social and economic costs. Across a range of cost-functions and model structures, commitment to intermittent and strict social distancing measures leads to better overall outcomes than temporally consistent implementation of moderate physical distancing measures. With regard to the trade-offs that policymakers may soon face, our results emphasize that economic and health outcomes do not exist in full competition. Compared to consistent moderation, intermittently strict policies can better mitigate the impact of the pandemic on both of these priorities for a range of plausible utility functions.

scholarly journals The impact of prioritisation and dosing intervals on the effects of COVID-19 vaccination in Europe: an agent-based cohort model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Martí Català ◽  
Xintong Li ◽  
Clara Prats ◽  
Daniel Prieto-Alhambra
Keyword(s):  
Public Health ◽  
Hospital Admissions ◽  
Care Home ◽  
Baseline Scenario ◽  
Agent Based ◽  
Care Home Staff ◽  
Vulnerable People ◽  
Dosing Intervals ◽  
Vaccination Campaigns ◽  
The Impact

AbstractDifferent strategies have been used to maximise the effect of COVID-19 vaccination campaigns in Europe. We modelled the impact of different prioritisation choices and dose intervals on infections, hospitalisations, mortality, and public health restrictions. An agent-based model was built to quantify the impact of different vaccination strategies over 6 months. Input parameters were derived from published phase 3 trials and official European figures. We explored the effect of prioritising vulnerable people, care-home staff and residents, versus contagious groups; and the impact of dose intervals ranging from 3 to 12 weeks. Prioritising vulnerable people, rather than the most contagious, led to higher numbers of COVID-19 infections, whilst reducing mortality, hospital admissions, and public health restrictions. At a realistic vaccination speed of ≤ 0·1% population/day, separating doses by 12 weeks (vs a baseline scenario of 3 weeks) reduced hospitalisations, mortality, and restrictions for vaccines with similar first- and second-dose efficacy (e.g., the Oxford-AstraZeneca and Moderna vaccines), but not for those with lower first vs second-dose efficacy (e.g., the Pfizer/BioNTech vaccine). Mass vaccination will dramatically reduce the effect of COVID-19 on Europe’s health and economy. Early vaccination of vulnerable populations will reduce mortality, hospitalisations, and public health restrictions compared to prioritisation of the most contagious people. The choice of interval between doses should be based on expected vaccine availability and first-dose efficacy, with 12-week intervals preferred over shorter intervals in most realistic scenarios.

scholarly journals Modelling the impact of age-stratified public health measures on SARS-CoV-2 transmission in Canada

2021 ◽  
Vol 8 (11) ◽  
Author(s):  
Vanessa Gabriele-Rivet ◽  
Kelsey L. Spence ◽  
Nicholas H. Ogden ◽  
Aamir Fazil ◽  
Patricia Turgeon ◽  
...  
Keyword(s):  
Public Health ◽  
Vulnerable Populations ◽  
Age Groups ◽  
Older Individuals ◽  
Agent Based Model ◽  
Agent Based ◽  
Avoidable Deaths ◽  
Health Measures ◽  
Large Numbers ◽  
The Impact

Public health measures applied exclusively within vulnerable populations have been suggested as an alternative to community-wide interventions to mitigate SARS-CoV-2 transmission. With the population demography and healthcare capacity of Canada as an example, a stochastic age-stratified agent-based model was used to explore the progression of the COVID-19 epidemic under three intervention scenarios (infection-preventing vaccination, illness-preventing vaccination and shielding) in individuals above three age thresholds (greater than or equal to 45, 55 and 65 years) while lifting shutdowns and physical distancing in the community. Compared with a scenario with sustained community-wide measures, all age-stratified intervention scenarios resulted in a substantial epidemic resurgence, with hospital and ICU bed usage exceeding healthcare capacities even at the lowest age threshold. Individuals under the age threshold were severely impacted by the implementation of all age-stratified interventions, with large numbers of avoidable deaths. Among all explored scenarios, shielding older individuals led to the most detrimental outcomes (hospitalizations, ICU admissions and mortality) for all ages, including the targeted population. This study suggests that, in the absence of community-wide measures, implementing interventions exclusively within vulnerable age groups could result in unmanageable levels of infections, with serious outcomes within the population. Caution is therefore warranted regarding early relaxation of community-wide restrictions.

scholarly journals Emotional and Mental Wellbeing Following COVID-19 Public Health Measures on People Living With Dementia and Carers

2021 ◽  
pp. 089198872199681
Author(s):  
Kerry Hanna ◽  
Clarissa Giebel ◽  
Hilary Tetlow ◽  
Kym Ward ◽  
Justine Shenton ◽  
...  
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Social Support ◽  
Support Services ◽  
Mental Wellbeing ◽  
Daily Lives ◽  
Health Measures ◽  
Social Support Services ◽  
The Uk ◽  
The Impact

Background: To date, there appears to be no evidence on the longer-term impacts caused by COVID-19 and its related public health restrictions on some of the most vulnerable in our societies. The aim of this research was to explore the change in impact of COVID-19 public health measures on the mental wellbeing of people living with dementia (PLWD) and unpaid carers. Method: Semi-structured, follow-up telephone interviews were conducted with PLWD and unpaid carers between June and July 2020. Participants were asked about their experiences of accessing social support services during the pandemic, and the impact of restrictions on their daily lives. Results: 20 interviews were conducted and thematically analyzed, which produced 3 primary themes concerning emotional responses and impact to mental health and wellbeing during the course of the pandemic: 1) Impact on mental health during lockdown, 2) Changes to mental health following easing of public health, and 3) The long-term effect of public health measures. Conclusions: The findings from this research shed light on the longer-term psychological impacts of the UK Government’s public health measures on PLWD and their carers. The loss of social support services was key in impacting this cohort mentally and emotionally, displaying a need for better psychological support, for both carers and PLWD.

scholarly journals The impact of COVID-19 on the care of people living with noncommunicable diseases in low- and middle-income countries: an online survey of physicians and pharmacists in nine countries

2021 ◽  
Vol 22 ◽  
Author(s):  
Chris Bullen ◽  
Jessica McCormack ◽  
Amanda Calder ◽  
Varsha Parag ◽  
Kannan Subramaniam ◽  
...  
Keyword(s):  
Public Health ◽  
Healthcare Workers ◽  
Online Survey ◽  
World Health ◽  
Noncommunicable Diseases ◽  
Middle Income ◽  
Middle Income Countries ◽  
Health Measures ◽  
The Impact ◽  
Low And Middle Income

Abstract Background: The global COVID-19 pandemic has disrupted healthcare worldwide. In low- and middle-income countries (LMICs), where people may have limited access to affordable quality care, the COVID-19 pandemic has the potential to have a particularly adverse impact on the health and healthcare of individuals with noncommunicable diseases (NCDs). A World Health Organization survey found that disruption of delivery of healthcare for NCDs was more significant in LMICs than in high-income countries. However, the study did not elicit insights into the day-to-day impacts of COVID-19 on healthcare by front-line healthcare workers (FLHCWs). Aim: To gain insights directly from FLHCWs working in countries with a high NCD burden, and thereby identify opportunities to improve the provision of healthcare during the current pandemic and in future healthcare emergencies. Methods: We recruited selected frontline healthcare workers (general practitioners, pharmacists, and other medical specialists) from nine countries to complete an online survey (n = 1347). Survey questions focused on the impact of COVID-19 pandemic on clinical practice and NCDs; barriers to clinical care during the pandemic; and innovative responses to the many challenges presented by the pandemic. Findings: The majority of FLHCWs responding to our survey reported that their care of patients had been impacted both adversely and positively by the public health measures imposed. Most FLHCs (95%) reported a deterioration in the mental health of their patients. Conclusions: Continuity of care for NCDs as part of pandemic preparedness is needed so that chronic conditions are not exacerbated by public health measures and the direct impacts of the pandemic.

scholarly journals Harnessing testing strategies and public health measures to avert COVID-19 outbreaks during ocean cruises

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Gerardo Chowell ◽  
Sushma Dahal ◽  
Raquel Bono ◽  
Kenji Mizumoto
Keyword(s):  
Public Health ◽  
Cost Effective ◽  
Contact Network ◽  
Social Distancing ◽  
Individual Level ◽  
Health Measures ◽  
Testing Strategies ◽  
Novel Coronavirus ◽  
The Individual ◽  
The Impact

AbstractTo ensure the safe operation of schools, workplaces, nursing homes, and other businesses during COVID-19 pandemic there is an urgent need to develop cost-effective public health strategies. Here we focus on the cruise industry which was hit early by the COVID-19 pandemic, with more than 40 cruise ships reporting COVID-19 infections. We apply mathematical modeling to assess the impact of testing strategies together with social distancing protocols on the spread of the novel coronavirus during ocean cruises using an individual-level stochastic model of the transmission dynamics of COVID-19. We model the contact network, the potential importation of cases arising during shore excursions, the temporal course of infectivity at the individual level, the effects of social distancing strategies, different testing scenarios characterized by the test’s sensitivity profile, and testing frequency. Our findings indicate that PCR testing at embarkation and daily testing of all individuals aboard, together with increased social distancing and other public health measures, should allow for rapid detection and isolation of COVID-19 infections and dramatically reducing the probability of onboard COVID-19 community spread. In contrast, relying only on PCR testing at embarkation would not be sufficient to avert outbreaks, even when implementing substantial levels of social distancing measures.

scholarly journals Rapid disappearance of influenza following the implementation of COVID-19 mitigation measures in Hamilton, Ontario

2021 ◽  
Vol 47 (04) ◽  
pp. 202-208
Author(s):  
Kevin Zhang ◽  
Avika Misra ◽  
Patrick J Kim ◽  
Seyed M Moghadas ◽  
Joanne M Langley ◽  
...  
Keyword(s):  
Public Health ◽  
Influenza A ◽  
Respiratory Virus ◽  
Respiratory Viruses ◽  
Mitigation Measures ◽  
Nasopharyngeal Swab ◽  
Health Measures ◽  
Bayesian Linear Regression ◽  
Syncytial Virus ◽  
The Impact

Background: Public health measures, such as physical distancing and closure of schools and non-essential services, were rapidly implemented in Canada to interrupt the spread of the coronavirus disease 2019 (COVID-19). We sought to investigate the impact of mitigation measures during the spring wave of COVID-19 on the incidence of other laboratory-confirmed respiratory viruses in Hamilton, Ontario. Methods: All nasopharyngeal swab specimens (n=57,503) submitted for routine respiratory virus testing at a regional laboratory serving all acute-care hospitals in Hamilton between January 2010 and June 2020 were reviewed. Testing for influenza A and B, respiratory syncytial virus, human metapneumovirus, parainfluenza I–III, adenovirus, and rhinovirus/enterovirus was done routinely using a laboratory-developed polymerase chain reaction multiplex respiratory viral panel. A Bayesian linear regression model was used to determine the trend of positivity rates of all influenza samples for the first 26 weeks of each year from 2010 to 2019. The mean positivity rate of Bayesian inference was compared with the weekly reported positivity rate of influenza samples in 2020. Results: The positivity rate of influenza in 2020 diminished sharply following the population-wide implementation of COVID-19 interventions. Weeks 12–26 reported 0% positivity for influenza, with the exception of 0.1% reported in week 13. Conclusion: Public health measures implemented during the COVID-19 pandemic were associated with a reduced incidence of other respiratory viruses and should be considered to mitigate severe seasonal influenza and other respiratory virus pandemics.

scholarly journals The role of masks in reducing the risk of new waves of COVID-19 in low transmission settings: a modeling study

2020 ◽  
Author(s):  
Robyn M Stuart ◽  
Romesh G Abeysuriya ◽  
Cliff C Kerr ◽  
Dina Mistry ◽  
Daniel J Klein ◽  
...  
Keyword(s):  
Initial Conditions ◽  
High Mobility ◽  
Baseline Scenario ◽  
New Wave ◽  
Policy Environment ◽  
Agent Based ◽  
Low Transmission ◽  
South Wales ◽  
Community Transmission

Objectives: To evaluate the risk of a new wave of coronavirus disease 2019 (COVID-19) in a setting with ongoing low transmission, high mobility, and an effective test-and-trace system, under different assumptions about mask uptake. Design: We used a stochastic agent-based microsimulation model to create multiple simulations of possible epidemic trajectories that could eventuate over a five-week period following prolonged low levels of community transmission. Setting: We calibrated the model to the epidemiological and policy environment in New South Wales, Australia, at the end of August 2020. Participants: None Intervention: From September 1, 2020, we ran the stochastic model with the same initial conditions (i.e., those prevailing at August 31, 2020), and analyzed the outputs of the model to determine the probability of exceeding a given number of new diagnoses and active cases within five weeks, under three assumptions about future mask usage: a baseline scenario of 30% uptake, a scenario assuming no mask usage, and a scenario assuming mandatory mask usage with near-universal uptake (95%). Main outcome measure: Probability of exceeding a given number of new diagnoses and active cases within five weeks. Results: The policy environment at the end of August is sufficient to slow the rate of epidemic growth, but may not stop the epidemic from growing: we estimate a 20% chance that NSW will be diagnosing at least 50 new cases per day within five weeks from the date of this analysis. Mandatory mask usage would reduce this to 6-9%. Conclusions: Mandating the use of masks in community settings would significantly reduce the risk of epidemic resurgence.

scholarly journals Quantifying contact patterns in response to COVID-19 public health measures in Canada

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Gabrielle Brankston ◽  
Eric Merkley ◽  
David N. Fisman ◽  
Ashleigh R. Tuite ◽  
Zvonimir Poljak ◽  
...  
Keyword(s):  
Public Health ◽  
Population Based ◽  
Skewed Distribution ◽  
Cross Sectional ◽  
Health Measures ◽  
Contact Patterns ◽  
Region Of Residence ◽  
Control Procedures ◽  
The Impact ◽  
Made In

Abstract Background A variety of public health measures have been implemented during the COVID-19 pandemic in Canada to reduce contact between individuals. The objective of this study was to provide empirical contact pattern data to evaluate the impact of public health measures, the degree to which social contacts rebounded to normal levels, as well as direct public health efforts toward age- and location-specific settings. Methods Four population-based cross-sectional surveys were administered to members of a paid panel representative of Canadian adults by age, gender, official language, and region of residence during May (Survey 1), July (Survey 2), September (Survey 3), and December (Survey 4) 2020. A total of 4981 (Survey 1), 2493 (Survey 2), 2495 (Survey 3), and 2491 (Survey 4) respondents provided information about the age and setting for each direct contact made in a 24-h period. Contact matrices were constructed and contacts for those under the age of 18 years imputed. The next generation matrix approach was used to estimate the reproduction number (Rt) for each survey. Respondents with children under 18 years estimated the number of contacts their children made in school and extracurricular settings. Results Estimated Rt values were 0.49 (95% CI: 0.29–0.69) for May, 0.48 (95% CI: 0.29–0.68) for July, 1.06 (95% CI: 0.63–1.52) for September, and 0.81 (0.47–1.17) for December. The highest proportion of reported contacts occurred within the home (51.3% in May), in ‘other’ locations (49.2% in July) and at work (66.3 and 65.4% in September and December). Respondents with children reported an average of 22.7 (95% CI: 21.1–24.3) (September) and 19.0 (95% CI 17.7–20.4) (December) contacts at school per day per child in attendance. Conclusion The skewed distribution of reported contacts toward workplace settings in September and December combined with the number of reported school-related contacts suggest that these settings represent important opportunities for transmission emphasizing the need to support and ensure infection control procedures in both workplaces and schools.

Estimating the Impact of Non-pharmaceutical Interventions Against COVID-19 on Mumps Incidence in Sichuan, China

2021 ◽  
Author(s):  
Wenqiang Zhang ◽  
Rongsheng Luan
Keyword(s):  
Public Health ◽  
Respiratory Virus ◽  
Moving Average ◽  
Sarima Model ◽  
Potential Reduction ◽  
Autoregressive Integrated Moving Average ◽  
Health Measures ◽  
Virus Incidence ◽  
The Impact ◽  
Pharmaceutical Interventions

Abstract Background: A series of social and public health measures have been implemented to contain coronavirus disease 2019 (COVID-19) in China. We examined the impact of non-pharmaceutical interventions against COVID-19 on mumps incidence as an agent to determine the potential reduction in other respiratory virus incidence.Methods: We modelled mumps incidence per month in Sichuan using a seasonal autoregressive integrated moving average (SARIMA) model, based on the reported number of mumps cases per month from 2017-2020. Results: The epidemic peak of mumps in 2020 is lower than in the preceding years. Whenever compared with the projected cases or the average from corresponding periods in the preceding years (2017-2019), the reported cases in 2020 markedly declined (P<0.001). From January to December, the number of mumps cases was estimated to decrease by 36.3% (33.9% - 38.8%), 34.3% (31.1% - 37.8%), 68.9% (66.1% - 71.6%), 76.0% (73.9% - 77.9%), 67.0% (65.0% - 69.0%), 59.6% (57.6% - 61.6%), 61.1% (58.8% - 63.3%), 49.2% (46.4% - 52.1%), 24.4% (22.1% - 26.8%), 30.0% (27.5% - 32.6%), 42.1% (39.6% - 44.7%), 63.5% (61.2% - 65.8%), respectively. The total number of mumps cases in 2020 was estimated to decrease by 53.6% (52.9% - 54.3%).Conclusion: Our study shows that non-pharmaceutical interventions against COVID-19 have had an effective impact on mumps incidence in Sichuan, China.

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