COVID-19 Nonpharmaceutical Interventions Research Articles

Reflective model assessment of adherence to COVID-19 non-pharmaceutical interventions

Abstract Background Non-pharmaceutical interventions (NPIs) decrease COVID-19 transmission. We identified behavioral factors that affected NPI adherence according to Normalization Process Theory (NPT) in medical students, travel seekers, and people with substance use disorder using reflective model measurement, which previously had not been conducted. Public health officials should consider factors that influence adherence to create preventive strategies for COVID-19. Methods In a cross-sectional design, medical students and people with substance use disorders in treatment comprised a probabilistic sample, and travelers and COVID-19 suspected persons comprised a convenience sample. Participants were from Split-Dalmatia County (n = 656) in the Mediterranean and consented to self-administered surveys in 02/2021. Sociodemographic data, locus of control (LoC), and moral behavior were collected. Partial least squares structural equation modeling (PLS-SEM) was used to measure reflective assessment of NPI adherence according to NPT. Results PLS-SEM reflective model assessment provided two-group specific factors in inverse relationships which determined NPI adherence with excellent goodness of fit (χ2=1.292, df = 1; p = 0.297). Significant negative factors covariance estimate (-0.716) revealed an increase in adherence to the first factor, NPIs and internal LoC [0.640], as the second factor, age (≤25) and highest education level (1.362), decreased. LoC was the mechanism by which sex (MLsex=-0.017, SE = 0.007, p < 0.016) and being a student or person with substance use disorder (MLgroup=-0.008, SE = 0.003, p = 0.015) showed indirect effect on NPI adherence. Conclusions Students and people with substance use disorders more adhered to NPIs. Higher-educated younger adults with a tendency toward external LoC facilitated the normalization. Public health interventions could encourage these subgroups to act as promoters to increase NPI adherence in similar settings. Key messages • COVID-19 non-pharmaceutical interventions and psychological factors of students and people with substance abuse disorder influenced adherence. Targeted interventions could promote adherence. • Public health officials should consider that preventive strategies may be more effective in highly educated adults younger than 25 years of age.

Towards a comprehensive COVID-19 non-pharmaceutical interventions’ index for the province of Québec

ObjectivesThe primary objective of this project was to develop a comprehensive COVID-19 non-pharmaceutical interventions’ index for the province of Québec (QCnPI-Index). The resulting database systematically categorizes, multiple non-pharmaceutical interventions implemented in the 17 administrative regions (AR) of the province of Québec to mitigate the spread of COVID-19 in the form of an index.Data descriptionData represent interventions and groups of interventions implemented during the COVID-19 period in Québec. They are a compilation of policies, guidelines, and governmental interventions related to COVID-19, considering temporal and geographical dimensions. Data were collected for all 17 AR of Québec using dates as unit of analysis, from March 2020 to April 2022. They were first collected and then coded by an interdisciplinary research team to form the foundation of the QCnPI-Index.ContributionThis quantitative instrument offers the necessary granularity for nuanced spatial and temporal studies within the province of Québec, using AR, for instance, as unit of analysis. With this database, pre-, during-, and post-COVID periods can thus be better analyzed. Additionally, the innovative methodologies employed for data collection, coding, and weighting offer valuable insights that may have broader applications in public health, epidemiology, and other research domains. The QCnPI-Index could be instrumental for public health, epidemiology, and transportation researchers investigating the multifaceted impacts of non-pharmaceutical interventions on various societal domains, such as road safety, alcohol and cannabis consumption, and/or mental health, in the province of Québec.

The Epidemiology of Pathogens in Community-Acquired Pneumonia Among Children in Southwest China Before, During and After COVID-19 Non-pharmaceutical Interventions: A Cross-Sectional Study.

This study aimed to investigate the pathogen epidemiology of community-acquired pneumonia (CAP) among children in Southwest China before, during and after the COVID-19 non-pharmaceutical interventions (NPIs). Pathogen data of hospitalised children with CAP, including multiple direct immunofluorescence test for seven viruses, bacterial culture and polymerase chain reaction (PCR) for Mycoplasma pneumoniae, were analysed across three phases: Phase I (pre-NPIs: 1 January 2019 to 31 December 2019), Phase II (NPI period: 1 January 2020 to 31 December 2020) and Phase III (post-NPIs: 1 January 2023 to 31 December 2023). A total of 7533 cases were enrolled, including 2444, 1642 and 3447 individuals in Phases I, II and III, respectively. M. pneumoniae predominated in Phases I and III (23.4% and 35.5%, respectively). In Phase II, respiratory syncytial virus (RSV) emerged as the primary pathogen (20.3%), whereas detection rates of influenza A virus (Flu A) and M. pneumoniae were at a low level (1.8% and 9.6%, respectively). In Phase III, both Flu A (15.8%) and M. pneumoniae epidemic rebounded, whereas RSV detection rate returned to Phase I level, and detection rates of Streptococcus pneumoniae and Haemophilus influenzae decreased significantly compared to those in Phase I. Detection rates of adenovirus and parainfluenza virus type 3 decreased phase by phase. Age-stratified analysis and monthly variations supported the above findings. Seasonal patterns of multiple pathogens were disrupted during Phases II and III. COVID-19 NPIs exhibited a distinct impact on CAP pathogen epidemic among children, with post-NPIs increases observed in M. pneumoniae and Flu A prevalence. Continuous pathogen monitoring is crucial for effective prevention and control of paediatric CAP.

Global patterns of rebound to normal RSV dynamics following COVID-19 suppression

BackgroundAnnual epidemics of respiratory syncytial virus (RSV) had consistent timing and intensity between seasons prior to the SARS-CoV-2 pandemic (COVID-19). However, starting in April 2020, RSV seasonal activity declined due to COVID-19 non-pharmaceutical interventions (NPIs) before re-emerging after relaxation of NPIs. We described the unusual patterns of RSV epidemics that occurred in multiple subsequent waves following COVID-19 in different countries and explored factors associated with these patterns.MethodsWeekly cases of RSV from twenty-eight countries were obtained from the World Health Organisation and combined with data on country-level characteristics and the stringency of the COVID-19 response. Dynamic time warping and regression were used to cluster time series patterns and describe epidemic characteristics before and after COVID-19 pandemic, and identify related factors.ResultsWhile the first wave of RSV epidemics following pandemic suppression exhibited unusual patterns, the second and third waves more closely resembled typical RSV patterns in many countries. Post-pandemic RSV patterns differed in their intensity and/or timing, with several broad patterns across the countries. The onset and peak timings of the first and second waves of RSV epidemics following COVID-19 suppression were earlier in the Southern than Northern Hemisphere. The second wave of RSV epidemics was also earlier with higher population density, and delayed if the intensity of the first wave was higher. More stringent NPIs were associated with lower RSV growth rate and intensity and a shorter gap between the first and second waves.ConclusionPatterns of RSV activity have largely returned to normal following successive waves in the post-pandemic era. Onset and peak timings of future epidemics following disruption of normal RSV dynamics need close monitoring to inform the delivery of preventive and control measures.

Differential impact of COVID-19 non-pharmaceutical interventions on the epidemiological dynamics of respiratory syncytial virus subtypes A and B

Nonpharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic have disrupted the dynamics of respiratory syncytial virus (RSV) on a global scale; however, the cycling of RSV subtypes in the pre- and post-pandemic period remains poorly understood. Here, we used a two subtype RSV model supplemented with epidemiological data to study the impact of NPIs on the two circulating subtypes, RSV-A and RSV-B. The model is calibrated to historic RSV subtype data from the United Kingdom and Finland and predicts a tendency for RSV-A dominance over RSV-B immediately following the implementation of NPIs. Using a global genetic dataset, we confirm that RSV-A has prevailed over RSV-B in the post-pandemic period, consistent with a higher R0 for RSV-A. With new RSV infant monoclonals and maternal and elderly vaccines becoming widely available, these results may have important implications for understanding intervention effectiveness in the context of disrupted subtype dynamics.

Atmosphere particulate matter and respiratory diseases during COVID-19 in Korea

We aimed to examine the impact of COVID-19 non-pharmaceutical interventions (NPIs) on the relationship between air pollutants and hospital admissions for respiratory and non-respiratory diseases in six metropolitan cities in South Korea. This study compared the associations between particulate matter (PM10 and PM2.5) and hospital admission for respiratory and non-respiratory diseases before (2016–2019) and during (2020) the implementation of COVID-19 NPIs by using distributed lag non-linear models. In the Pre-COVID-19 period, the association between PM10 and admission risk for asthma and COPD showed an inverted U-shaped pattern. For PM2.5, S-shaped and inverted U-shaped changes were observed in asthma and COPD, respectively. Extremely high and low levels of PM10 and extremely low levels of PM2.5 significantly decreased the risk of admission for asthma and COPD. In the Post-COVID-19 outbreak period, the overall cumulative relationship between PM10 and PM2.5 and respiratory diseases and the effects of extreme levels of PM10 and PM2.5 on respiratory diseases were completely changed. For non-respiratory diseases, PM10 and PM2.5 were statistically insignificant for admission risk during both periods. Our study may provide evidence that implementing NPIs and reducing PM10 and PM2.5 exposure during the COVID-19 pandemic has contributed to reducing hospital admissions for environment-based respiratory diseases.

An RNA-hydrolyzing recombinant minibody prevents both influenza A virus and coronavirus in co-infection models

With the lifting of COVID-19 non-pharmaceutical interventions, the resurgence of common viral respiratory infections was recorded in several countries worldwide. It facilitates viral co-infection, further burdens the already over-stretched healthcare systems. Racing to find co-infection-associated efficacy therapeutic agents need to be rapidly established. However, it has encountered numerous challenges that necessitate careful investigation. Here, we introduce a potential recombinant minibody-associated treatment, 3D8 single chain variable fragment (scFv), which has been developed as a broad-spectrum antiviral drug that acts via its nucleic acid catalytic and cell penetration abilities. In this research, we demonstrated that 3D8 scFv exerted antiviral activity simultaneously against both influenza A viruses (IAVs) and coronaviruses in three established co-infection models comprising two types of coronaviruses [beta coronavirus—human coronavirus OC43 (hCoV-OC43) and alpha coronavirus—porcine epidemic diarrhea virus (PEDV)] in Vero E6 cells, two IAVs [A/Puerto Rico/8/1934 H1N1 (H1N1/PR8) and A/X-31 (H3N2/X-31)] in MDCK cells, and a combination of coronavirus and IAV (hCoV-OC43 and adapted-H1N1) in Vero E6 cells by a statistically significant reduction in viral gene expression, proteins level, and approximately around 85%, 65%, and 80% of the progeny of ‘hCoV-OC43–PEDV’, ‘H1N1/PR8–H3N2/X-31’, and ‘hCoV-OC43–adapted-H1N1’, respectively, were decimated in the presence of 3D8 scFv. Taken together, we propose that 3D8 scFv is a promising broad-spectrum drug for treatment against RNA viruses in co-infection.

Impact of COVID-19 Nonpharmaceutical Interventions on Respiratory Syncytial Virus Infections in Hospitalized Children.

Nonpharmaceutical interventions (NPIs) targeted at SARS-CoV-2 have remarkably affected the circulation of other respiratory pathogens, including respiratory syncytial virus (RSV). This study aimed to assess the changes in epidemiological and clinical characteristics of RSV infections in hospitalized children before and during the pandemic in Suzhou, China. We prospectively enrolled children aged < 18 years who were hospitalized in Soochow University Affiliated Children's Hospital with acute lower respiratory infection (ALRIs) from January 2018 to July 2022. Changes in epidemiological and clinical characteristics of RSV infections were analyzed. Compared with the same period in 2018-2019, the difference in the overall positive rate of RSV was not statistically significant in 2020, while it increased significantly in 2021 (11.8% [662/5621] vs. 20.8% [356/1711], p < 0.001) and 2022 (9.0% [308/3406] vs. 18.9% [129/684], p < 0.001). Specifically, the positive rates declined considerably from October to December 2020 but sharply increased during the summer of 2021. Compared to prepandemic period, RSV infections were more frequently observed in older children during the pandemic. RSV-positive children exhibited milder clinical characteristics during the COVID-19 pandemic, including decreased proportion of patients with hospital stay ≥ 11 days (10.3% vs. 6.7%, p < 0.05), less requirement for oxygen therapy (13.7% vs. 6.9%, p < 0.001), and fewer cases of polypnea (12.2% vs. 9.7%, p < 0.05) and wheeze (50.1% vs. 42.9%, p < 0.001). The implementation of multilayered NPIs targeted at COVID-19 has affected the activity of RSV. Ongoing monitoring of RSV is warranted as the changing RSV epidemiology can provide valuable insights for future healthcare system planning.

186 Outbreak of Bacterial Subdural Empyema in Pediatric Patients After Relaxation of COVID-19 Non-pharmaceutical Interventions (NPIs)

INTRODUCTION: Non-pharmaceutical interventions (NPIs), in response to the COVID-19 viral pandemic altered viral transmission. In addition, endemic viral strains (influenza, RSV, etc) also experienced unprecedentedly low infection rates. Endemic viral infections typically followed seasonal outbreak spikes, but these spikes were noticeably absent in the COVID-19 control period. After many COVID-19 restrictions were ceased, there was an unusually high spike in endemic viral infections. Many COVID-19 measures were relaxed in the early/middle part of 2021, and we noted a sharp increase in post-viral, complicated sinusitis/subdural empyema cases. METHODS: Data collection was via retrospective chart review of subdural empyema cases at our institution. “Post-viral” was defined as positive viral test or VURI symptoms within 30 days. RESULTS: Our group previously published our case series on the management of subdural empyema. That served as an historical cohort of 16 patients and 23 procedures over an 8 year period (July 2013-June 2021). During the previous academic year, July 2021 to June 2022, there were a total of 14 patients and 19 surgeries, which nearly doubles the previous 8 years combined. The current academic year (to date) has had 9 empyema patients and 12 surgical cases. 100% of patients in the previous 2 years has had historical symptoms of viral URI symptoms or positive viral URI testing within 30 days. None were documented positive for COVID-19. In less than 2 years since many NPIs were lifted, post-viral, bacterial empyema cases have increased dramatically by a fold of 2.56. CONCLUSIONS: NPIs may have created an endemic viral “immunity gap” and an immunologically susceptible population, and thereby could have contributed to a sharp increase in bacterial subdural empyema.

Health-related quality of life during the COVID-19 pandemic: The impact of restrictive measures using data from two Dutch population-based cohort studies.

We describe health-related quality of life during the COVID-19 pandemic in the general Dutch population and correlations with restrictive measures. Data were obtained from 18-85 year-old participants of two population-based cohort studies (February 2021-July 2022): PIENTER Corona (n = 8,019) and VASCO (n = 45,413). Per cohort, mean scores of mental and physical health and health utility from the SF-12 were calculated by age group, sex and presence of a medical risk condition. Spearman correlations with stringency of measures were calculated. Both cohorts showed comparable results. Participants <30 years had lowest health utility and mental health score, and highest physical health score. Health utility and mental health score increased with age (up to 79 years), while physical health score decreased with age. Women and participants with a medical risk condition scored lower than their counterparts. Fluctuations were small over time but most pronounced among participants <60 years, and correlated weakly, but mostly positively with measure stringency. During the Dutch COVID-19 epidemic, health utility and mental health scores were lower and fluctuated strongest among young adults compared to older adults. In our study population, age, sex and presence of a medical risk condition seemed to have more impact on health scores than stringency of COVID-19 non-pharmaceutical interventions.

Modeling COVID-19 spread and non-pharmaceutical interventions in South Africa: A stochastic approach

The COVID-19 pandemic has exerted a pervasive worldwide influence, including on South Africa, which stands out as one of the African nations most substantially impacted. As of March 20, 2021, the nation has encountered a multitude of obstacles in its efforts to contain the virus’s transmission. Conventional approaches to forecasting the transmission of contagious illnesses frequently prove inadequate when it comes to comprehending the intricate dynamics of COVID-19, specifically with regard to stochastic disruptions and the efficacy of non-pharmaceutical interventions. The deficiency in predictive modeling has impeded the capacity to effectively evaluate and execute measures to reduce the spread of the virus. The principal objective of this study is to construct a novel stochastic model, denoted as SEIHR, that can effectively forecast the transmission of COVID-19 in South Africa while also assessing the efficacy of diverse non-pharmacological interventions. By conducting an extensive data analysis spanning from April 17, 2020, to September 13, 2021, this research endeavors to provide a comprehensive and nuanced comprehension of the dynamics of the epidemic, with a particular focus on its early surges. Using the idea of stochastic Lyapunov function theory, this study aims to find out if there is and is not a solution in the given model. It also wants to find out what conditions must be met in order to get rid of diseases when there are random disturbances, such as white noise. Using this model, the efficacy of interventions such as lockdowns in preventing the spread of the virus during the epidemic will also be critically evaluated. The primary objective is to furnish policymakers and health authorities with invaluable insights and tools that will enable them to more effectively manage and alleviate the COVID-19 crisis in South Africa and comparable settings.

Assessing the impact of COVID-19 interventions on the hand, foot and mouth disease in Guangdong Province, China: a Bayesian modeling study.

The non-pharmaceutical interventions (NPIs) against COVID-19 may have affected the transmission of hand, foot and mouth disease (HFMD). We aimed to assess the impact of the NPIs on HFMD in the high epidemic area of HFMD, Guangdong Province. The data of HFMD cases, etiological information, and meteorological factors in Guangdong from January 1, 2012, to December 31, 2021, were collected. Using a Bayesian structural time series (BSTS) model integrated counterfactual framework, we assessed the effect of NPIs on HFMD by different intervention periods, populations (gender, age, occupation), and cities. We further explored the correlation between the reduction of HFMD and socioeconomic factors in 21 cities. A total of 351,217 HFMD cases were reported and 455,327 cases were averted in Guangdong Province during 2020-2021 with a reduction of 84.94% (95%CI: 81.63-87.22%) in 2020 and 29.49% (95%CI: 15.26-39.54%) in 2021. The impact of NPIs on HFMD differed by age and gender. The effects of NPIs were more remarkable for children aged 0-2 years and scattered children. We found that the relative reductions in 21 cities were related to the composition ratio of children and COVID-19 incidence. The reduction of HFMD incidence was significantly associated with COVID-19 NPIs, and school closure was an effective intervention to prevent HFMD outbreaks. Our findings will contribute to the development of HFMD prevention and control measures.

Weathering the Storm: Syringe Services Program Laws and Human Immunodeficiency Virus During the COVID-19 Pandemic.

Syringe services programs (SSPs) are community-based prevention programs that provide a range of harm reduction services to persons who inject drugs. Despite their benefits, SSP laws vary across the United States. Little is known regarding how legislation surrounding SSPs may have influenced HIV transmission over the COVID-19 pandemic, a period in which drug use increased. This study examined associations between state SSP laws and HIV transmission among the Medicaid population before and after the COVID-19 pandemic. State-by-month counts of new HIV diagnoses among the Medicaid population were produced using administrative claims data from the Transformed Medicaid Statistical Information System from 2019 to 2020. Data on SSP laws were collected from the Prescription Drug Abuse Policy System. Associations between state SSP laws and HIV transmission before and after the start of the COVID-19 pandemic were evaluated using an event study design, controlling for the implementation of COVID-19 nonpharmaceutical interventions and state and time fixed effects. State laws allowing the operation of SSPs were associated with 0.54 (P = 0.044) to 1.18 (P = 0.001) fewer new monthly HIV diagnoses per 100,000 Medicaid enrollees relative to states without such laws in place during the 9 months after the start of the COVID-19 pandemic. The largest effects manifested for population subgroups disproportionately affected by HIV, such as male and non-Hispanic Black Medicaid enrollees. Less restrictive laws on SSPs may have helped mitigate HIV transmission among the Medicaid population throughout the COVID-19 pandemic. Policymakers can consider implementing less restrictive SSP laws to mitigate HIV transmission resulting from future increases in injection drug use. The findings and conclusions in this report are those of the author(s) and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Modeling the impact of COVID-19 nonpharmaceutical interventions on respiratory syncytial virus transmission in South Africa.

The South African government employed various nonpharmaceutical interventions (NPIs) to reduce the spread of SARS-CoV-2. Surveillance data from South Africa indicates reduced circulation of respiratory syncytial virus (RSV) throughout the 2020-2021 seasons. Here, we use a mechanistic transmission model to project the rebound of RSV in the two subsequent seasons. We fit an age-structured epidemiological model to hospitalization data from national RSV surveillance in South Africa, allowing for time-varying reduction in RSV transmission during periods of COVID-19 circulation. We apply the model to project the rebound of RSV in the 2022 and 2023 seasons. We projected an early and intense outbreak of RSV in April 2022, with an age shift to older infants (6-23 months old) experiencing a larger portion of severe disease burden than typical. In March 2022, government alerts were issued to prepare the hospital system for this potentially intense outbreak. We then assess the 2022 predictions and project the 2023 season. Model predictions for 2023 indicate that RSV activity has not fully returned to normal, with a projected early and moderately intense wave. We estimate that NPIs reduced RSV transmission between 15% and 50% during periods of COVID-19 circulation. A wide range of NPIs impacted the dynamics of the RSV outbreaks throughout 2020-2023 in regard to timing, magnitude, and age structure, with important implications in a low- and middle-income countries (LMICs) setting where RSV interventions remain limited. More efforts should focus on adapting RSV models to LMIC data to project the impact of upcoming medical interventions for this disease.

Utilization of physician mental health services by birthing parents with young children during the COVID-19 pandemic: a population-based, repeated cross-sectional study.

The COVID-19 pandemic and nonpharmaceutical interventions that reduced the spread of infection had impacts on social interaction, schooling and employment. Concerns have been raised about the impact of these disruptions on the mental health of high-risk groups, including birthing parents of young children. This population-based, repeated cross-sectional study used health administrative databases in Ontario, Canada, to link children to birth parents and to measure subsequent mental health visits of birthing parents of younger (age 0-5 yr) and school-aged (6-12 yr) children. We used a repeated cross-sectional study design to estimate expected rates for visits to physicians for mental health diagnoses, based on prepandemic trends (March 2016-February 2020), and to compare those to observed visit rates during the March 2020-November 2021 period of the pandemic. We identified 2 cohorts: 986 870 birthing parents of younger children and 1 012 997 birthing parents of school-aged children. In both cohorts, observed visit rates were higher than expected in the June 2020-August 2020 quarter (incidence rate ratio [IRR] 1.13, 95% confidence interval [CI] 1.10-1.16; and IRR 1.10, 95% CI 1.07-1.13, respectively), peaked in December 2020-February 2021 (IRR 1.24, 95% CI 1.20-1.27; and IRR 1.20, 95% CI 1.16-1.23) and remained higher than expected in September 2021-November 2021 (IRR 1.12, 95% CI 1.08-1.16; and IRR 1.09, 95% CI 1.06-1.13). The increases were driven mostly by visits for mood and anxiety disorders, and trends in increases were similar across physician type, birthing-parent age and deprivation quintile. The COVID-19 pandemic was associated with increased mental health visits for parents of young children. This raises concerns about mental health impacts and highlights the need to address these concerns.

Preferences for public engagement in decision-making regarding four COVID-19 non-pharmaceutical interventions in the Netherlands: A survey study.

Worldwide, non-pharmaceutical interventions (NPIs) were implemented during the COVID-19 crisis, which heavily impacted the daily lives of citizens. This study considers public perspectives on whether and how public engagement (PE) can contribute to future decision-making about NPIs. An online survey was conducted among a representative sample of the public in the Netherlands from 27 October to 9 November 2021. Perceptions and preferences about PE in decision-making on NPIs to control COVID-19 were collected. Preferences regarding four NPIs were studied: Nightly curfew (NC); Digital Covid Certificate (DCC); Closure of elementary schools and daycares (CED); and physical distancing (1.5M). Engagement was surveyed based on the five participation modes of the IAP2 Spectrum of Public Participation, namely inform, consult, advice, collaborate and empower. Of the 4981 respondents, 25% expressed a desire to engage in decision-making, as they thought engagement could improve their understanding and the quality of NPIs, as well as increase their trust in the government. Especially for the NPIs DCC and NC, respondents found it valuable to engage and provide their perspective on trade-offs in values (e.g. opening up society versus division in society by vaccination status). Respondents agreed that the main responsibility in decision-making should stay with experts and policy-makers. 50% of respondents did not want to engage, as they felt no need to engage or considered themselves insufficiently knowledgeable. Inform was deemed the most preferred mode of engagement, and empower the least preferred mode of engagement. We reveal large variations in public preferences regarding engagement in NPI decision-making. With 25% of respondents expressing an explicit desire to engage, and considering the benefit of PE in other areas of (public) health, opportunities for PE in NPI decision-making might have been overlooked during the COVID-19 pandemic. Our results provide guidance into when and how to execute PE in future outbreaks.

COVID-19 Government policies in Portugal and Brazil: A three-year retrospective analysis

BackgroundCountries have adopted different COVID-19 policies to contain the transmission of the disease and to prepare for vaccination rollout. Countries’ political context, vaccine policy history, and health systems’ responses impacted COVID-19 health outcomes. ObjectiveThis study focused on synthesizing and examining COVID-19 non-pharmaceutical interventions in Brazil and Portugal, understanding the enablers and barriers to COVID-19 vaccination access and distribution, and health and non-health outcomes across three time-points: before vaccination, during mass vaccination, and after the declaration of endemicity. MethodsExtensive qualitative document analysis of secondary sources published in Portuguese and English over the past three years, and examination of primary publicly available epidemiological data since the beginning of the pandemic. ResultsIn the first year of the pandemic, the COVID-19 government response between the two countries was dissimilar; effective coordination, trust in the government response and political alignment in Portugal contrasted the political denial of the pandemic, lack of coordination between the various levels of government, at the same time the Brazilian population engaged in protective behaviours and distrusted the government. The COVID-19 vaccination had a good response from the public, associated with a primary care level network of distribution, low vaccine hesitancy, and strong childhood immunization programs before the pandemic in both countries. Vaccine manufacturing in Brazil and the strong support from the European Union to Portugal on vaccine acquisition have also aided these countries in achieving high COVID-19 vaccination coverage. ConclusionFuture policies to promote a well-functioning and resilient health system should consider medical and nursing workforce sustainability, equity in all policies, building public trust, strengthening health system governance, and improving preparedness and surveillance.

Changes in human papillomavirus prevalence, incidence, and clearance among men who have sex with men in Xinjiang, China after implementation of nonpharmaceutical interventions to control COVID-19: An interrupted time series analysis

ObjectivesThis study aimed to assess the effects of COVID-19 nonpharmaceutical interventions (NPIs) on the human papillomavirus (HPV) epidemic among men who have sex with men (MSM) in Xinjiang, China. MethodsIn our cohort study, we enrolled and followed HIV-negative MSM in Xinjiang, China, between 2016 and 2022. Anal swab samples were collected to test for HPV DNA. We used interrupted time series analysis to characterize the temporal trends in HPV prevalence, incidence, and clearance before (September 01, 2016, to July 16, 2020) and during the implementation of COVID-19 NPIs in Xinjiang (July 17, 2020, to March 31, 2022). We used binomial segmented regression models to estimate the impact of COVID-19 NPIs on HPV prevalence, incidence, and clearance. ResultsWe recruited 1296 MSM who contributed to a total of 5374 HPV tests in our study. COVID-19 NPIs were associated with a 37.9% decrease in the prevalence (prevalence ratio, 0.621; 95% confidence interval, 0.465-0.830), 52.2% decrease in the incidence (risk ratio, 0.478; 0.377-0.606), and 40.4% increase in the clearance (risk ratio, 1.404; 1.212-1.627) of HPV of any genotype after the implementation of COVID-19 NPIs in Xinjiang. ConclusionCOVID-19 NPIs may lead to lower transmission and higher clearance of HPV among MSM. Future studies are needed to clarify the longer-term impact of COVID-19 on the transmission and natural history of HPV among MSM.

Impact of Lifting Mask Mandates on COVID-19 Incidence and Mortality in Portugal: An Ecological Study

The use of face masks in public was one of several COVID-19 non-pharmaceutical interventions adopted to mitigate the pandemic in Portugal. The aim of this study was to evaluate the impact of lifting the mask mandate on the April 22, 2022 on COVID-19 incidence and mortality in mainland Portugal and in the Azores. As a secondary objective, we aimed to evaluate the evolution of COVID-19 cases in a setting without a mask mandate (Azores islands) and in a setting with a mask mandate (Madeira islands).Surveillance data on laboratory-confirmed COVID-19 cases and COVID-19 deaths were used to conduct an interrupted time series analysis to estimate changes in daily incidence and deaths during a mask mandate period (28th March - 21st April 2022) and during a post-mask mandate period (22nd April - 15th May 2022), in mainland Portugal and the Azores. In a second phase, for each group of islands, we fitted a negative binomial regression model, with daily COVID-19 incident cases as the primary outcome of interest, and relative frequency of Omicron BA.5 lineage as explanatory variable.Significant changes in trends were observed for the overall incidence rate and COVID-19 deaths; increasing trends were observed for COVID-19 incidence and deaths in the post mandate period [5.3% per day; incidence rate ratio (IRR): 1.053; 95% confidence interval (CI): 1.029 - 1.078] and [3.2% per day; mortality rate ratio (MRR): 1.032; 95% CI: 1.003 - 1.062], respectively. For every unit increase in the percentage of Omicron BA.5 lineage there was a 1.5% increase per day (IRR: 1.015; 95% CI: 1.006 - 1.024) in COVID-19 incidence rate in the Azores islands, while for Madeira islands an increase of 0.05% COVID-19 cases per day was observed (IRR: 1.005; 95% CI: 1.000 - 1.010).Lifting the mask mandate in Portugal was associated with an increase in COVID-19 incidence and deaths, thus highlighting the positive effect of face mask policies in preventing respiratory virus transmission and saving lives.

Effects of non-compulsory and mandatory COVID-19 interventions on travel distance and time away from home, Norway, 2021.

BackgroundGiven the societal, economic and health costs of COVID-19 non-pharmaceutical interventions (NPI), it is important to assess their effects. Human mobility serves as a surrogate measure for human contacts and compliance with NPI. In Nordic countries, NPI have mostly been advised and sometimes made mandatory. It is unclear if making NPI mandatory further reduced mobility.AimWe investigated the effect of non-compulsory and follow-up mandatory measures in major cities and rural regions on human mobility in Norway. We identified NPI categories that most affected mobility.MethodsWe used mobile phone mobility data from the largest Norwegian operator. We analysed non-compulsory and mandatory measures with before-after and synthetic difference-in-differences approaches. By regression, we investigated the impact of different NPI on mobility.ResultsNationally and in less populated regions, time travelled, but not distance, decreased after follow-up mandatory measures. In urban areas, however, distance decreased after follow-up mandates, and the reduction exceeded the decrease after initial non-compulsory measures. Stricter metre rules, gyms reopening, and restaurants and shops reopening were significantly associated with changes in mobility.ConclusionOverall, distance travelled from home decreased after non-compulsory measures, and in urban areas, distance further decreased after follow-up mandates. Time travelled reduced more after mandates than after non-compulsory measures for all regions and interventions. Stricter distancing and reopening of gyms, restaurants and shops were associated with changes in mobility.