Strict Lockdown Measures Research Articles

The regional impact of the COVID-19 lockdown on the air quality in Ji'nan, China

A number of strict lockdown measures were implemented in the areas most affected by COVID-19 in China, including Ji’nan city, from 24 January to 7 February 2020. Due to these forced restrictions, the pollution levels in cities across the country drastically decreased within just a few days. Since traffic pollution and industrial emissions are important factors affecting regional air quality, congestion has a significant impact on the environment. Therefore, using the aid of air quality data for six pollutants (PM10, PM2.5, SO2, NO2, CO and O3) from 11 monitoring stations (located in urban, suburban and urban-industrial regions) across Ji’nan, we employed the air quality index (AQI) to investigate the spatial pattern of air quality in the pre-COVID-19 (pre-COVID) and COVID-19-related lockdown (COVID lockdown) periods. The results showed that air quality significantly improved during the COVID lockdown period. Among the selected pollutants, compared to the corresponding pre-COVID levels, the greatest reduction was observed for the concentration of NO2 (54.02%), while the smallest reduction was observed for the concentration of SO2 (27.92%). The PM2.5 (38.73%), PM10 (44.92%) and CO (30.60%) levels also decreased during the COVID lockdown period; only the O3 concentration increased (37.42%) during this period. Overall, air quality improved by approximate improvements of 37.33% during the COVID lockdown period. Approximately 35.48%, 37.01% and 43.43% in the AQI were observed in urban, suburban and urban-industrial regions, respectively. Therefore, the AQI exhibited remarkable regional differences in Ji'nan. This study demonstrates the contributions of the transportation sector and local emissions to improving air quality in typical urban areas, and these research results can provide guidance for the further monitoring of air pollution in northern Chinese cities.

The impact of COVID-19 on employment and income of vocational graduates in China: Evidence from surveys in January and July 2020

The COVID-19 pandemic shocked the economy of China in early 2020. Strict lockdown measures were implemented nationwide to prevent the further spread of the virus. During the lockdown period, many economic activities were affected, which had repercussions for the nation's overall employment. Vocational graduates were among the most affected by the crisis. To estimate the causal effects of COVID-19 on the full-time employment of vocational high school graduates as well as their monthly income and hours worked by week, we exploit variations in the intensity of the pandemic in time and across space using survey data from vocational schools from six provinces in China. The results of the difference-in-differences (DID) estimates indicate that being located in counties with high pandemic intensity significantly reduced both the employment in full-time jobs of vocational graduates as well as their monthly income. Our study's analysis demonstrates that the effects of COVID-19 on the labor market can be attributed to the large-scale contraction of labor demand of the enterprises that were hiring vocational graduates. To cope with this situation, vocational graduates took various measures, including reducing consumption, drawing on their savings, searching for new jobs, taking on part-time jobs, borrowing money, and attending new training programs. In addition, the empirical analysis finds that there were heterogeneous effects with respect to gender, family social capital, the industry in which the vocational graduate was participating, and whether the individual was in a management position.

Online Short-Term Mindfulness-Based Intervention During COVID-19 Quarantine in Italy: Effects on Wellbeing, Stress, and Anxiety.

To limit the first spread of COVID-19 in March 2020, the Italian government imposed strict lockdown measures to the population. Despite necessary to reduce the virus transmission and the burden to the hospitals, social isolation has caused detrimental effects on psychological wellbeing and mental health. Moreover, during this period, it was also difficult to deliver psychological treatments and psychiatric assistance. A short (a weekly session for 9 weeks) mindfulness-based meditation program, named Integral Meditation (IM), was administered entirely online to healthy adults from Italy. This is a two-groups pre–post-quasi-experimental study in which the two groups, treated and control, were not randomized. Through matching procedures aimed at overcoming the absence of randomization, we analyzed a sample of 84 subjects (42 for each group). By applying linear mixed effect models, we tested the hypothesis of a beneficial effect of IM on wellbeing, perceived stress, and state anxiety, as measured by three self-reported questionnaires (WEMWBS, PSS, and STAI-X1, respectively), assuming that this effect could be different according to the level of baseline trait anxiety, as measured by STAI-X2. The results showed a statistically significant effect of STAI-X1 (β = −8.24 [95%CI −15.39; −1.09], p = 0.02) and WEMWBS (β = 4.61 [95%CI 0.94; 8.29], p = 0.01) in the higher trait anxiety subgroup only. No statistically significant effect of IM was observed for PSS. These results suggest that our IM, delivered online, may increase mental wellbeing and decrease anxiety specifically in subjects with higher trait anxiety.

Understanding patterns of internal migration during the COVID-19 pandemic in Spain.

Existing empirical work has analysed the impacts of COVID‐19 on mortality, fertility and international migration. Less is known about the ways in which the COVID‐19 pandemic has influenced the patterns of internal migration. Anecdotal reports of mass migration from large cities to less populated areas have emerged, but lack of data has prevented empirically assessing this hypothesis. Drawing on geographically granular administrative population register data, we aim to analyse the extent of change in the patterns of internal migration across the urban hierarchy in Spain during 2020. Our results show a decline of 2.5% in the number of internal migration moves, particularly during the early stages of the pandemic, returning to pre‐pandemic levels in late 2020. Results also reveal unusually large net migration losses in core cities and net migration gains in rural areas. Net migration losses in cities and gains in rural areas particularly accumulated following the elimination of the strict lockdown measures in June. Yet, these net losses and gains trended to pre‐pandemic levels in late 2020, and movements between cities, and between cities and suburbs, continued to dominate the internal migration system. Thus, while the COVID‐19 pandemic exerted notable changes in the geographic balance of internal migration flows, these changes appear to have been temporary and did not significantly alter the existing structures of the national migration system.

Keeping the Faith: Filipino Catholic Responses to the Covid-19 Pandemic

Since March 2020, Metro Manila and other places in the Philippines has been on lockdownbecause of the surge of Covid-19 cases in the country. Even churches and other places ofworship have been off-limits to church goers during strict lockdown measures called “EnhancedCommunity Quarantine.” This paper looks at how Filipino Catholics practice their religiousobligations during the pandemic. Since majority (81%) of Filipinos are Roman Catholics, thefocus of this paper is how Filipino Catholics view the Covid-19 pandemic and how they copewith it. The data for this study comes from two sources: 1) interviews with church leaders andlay members; and 2) online and offlne ethnographic observation of religious practices duringthe pandemic. Through an anthropological description of Filipino Catholic attitudes on andresponses to the Covid-19 pandemic, we have a better understanding about Filipino resiliencyin times of crises.

Effect of COVID-19 on air pollution related illnesses in India

Ambient air pollution level not only causes respiratory diseases but also cardiovascular diseases, besides, increased visits to the emergency department for asthma, chronic obstructive pulmonary disease (COPD), bronchitis, allergic rhinitis, attention deficit hyperactivity disorder (ADHD) in children and premature deaths in infants. The occurrence of Coronavirus-19 (COVID-19) pandemic is both, a boon and bane. Despite the deplorable situation aroused by the pandemic, strict lockdown measures implemented to curb the drastic spread of the disease, also culminated into astonishing outcomes that were not prioritized. This article illustrates the effects of the ongoing pandemic on air pollution and provides recommendations aimed at limiting it.

COVID-19 - a global pandemic or endemic?

Whether COVID-19 would ever have to be accepted as an endemic illness has been a matter of debate among epidemiologists and virologists since its early days. Last year the UK prime minister pioneered the suggestion to change our expectations around COVID-19 and label it endemic. Earlier this year the Spanish PM agrees. Many support the idea and tout Darwin’s theory of survival of the fittest, now that economies have suffered too much due to restriction policies. The WHO however holds a strongly opposing view, and has issued a dismal forecast about more than half of people in Europe and Central Asia becoming infected in the present swathe of the omicron variant. It maintains that the virus is too erratic currently, given its mutations and the great enormity to which it infects populations at a given time. For it to acquire an endemic status there should be a stable level of virus within a population marked by epidemic surges that are predictable. This is not foreseeable in the near future. The last viral pandemic of such a great impact was the 1918 influenza,1 causing more than 50 million deaths world-wide. Influenza became endemic by 1920, with seasonal rises. The vaccine for influenza was launched in 1945. However, flu pandemics plagued subsequent decades, the latest being the swine flu of 2009. There stills looms a danger of a future influenza pandemics with WHO claiming that it is not a question of “if”, but “when”. However this time we are equipped with several pandemic preparedness measures- an effective surveillance system (The Global Influenza Surveillance and Response System)2 yearly flu vaccine and post-exposure prophylaxis (oseltamivir). COVID vaccines have reduced severity of infection3, therefore strict lockdown measures and prolonged self-isolation are no longer in vogue. All one can do it seems, is to accept that COVID is here to stay, get the vaccine- or get infected- and hope that either passive or active immunity will work. However keep in mind that COVID- ARDS aside, post viral-sequale (lung fibrosis, encephalitis, and thrombotic complications) is a more concerning contributor to morbidity and mortality. So if in reality the death toll is much higher than the estimated count of 5.5 million and is predicted to rise in coming months as more people get infected are we ready to allow the virus to decide who climbs the evolutionary ladder and who does not?

Investigation of indoor and outdoor air quality in a university campus during COVID-19 lock down period

The pandemic of COVID-19 currently shadows the world; the whole earth has been on an unprecedented lockdown. Social distancing among people interrupted domestic and international air traffic, suspended industrial productions and economic activities, and had various far-reaching and undetermined implications on air quality. Improvement in air quality has been reported in many cities during the lockdown. On March 22, 2020, the Turkish government enforced strict lockdown measures to reduce coronavirus disease transmission. This lockdown had a significant impact on the movement of people within the country, which resulted in a major drop in worldwide commercial activities. During this period, university campuses were emptied due to the transition to distance education. In this study, various air pollutants sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), fine particulate matter (PM2.5), total bacteria, and total fungi were measured in different indoor environments at Eskişehir Technical University Campus in Eskişehir, Turkey during COVID-19 lock down period. Also, to calculate the indoor and outdoor ratios (I/O) of the pollutants, simultaneous outdoor measurements were also carried out. The average indoor SO2, NO2, O3, and PM2.5 concentrations in different indoor environments ranged between 2.10 and 54.58, 1.36–30.89, 12.01–39.05, and 21–94 μg/m3, respectively. The total number of bacteria and fungi ranged between 21.83-514.15 and 13.10–83.36 CFU/m3, respectively. Our study intends to give a glimpse to quantify the impact of a pandemic on air quality in different indoor environments in a university campus in Eskişehir, Turkey and calls for follow-up studies. Indoor concentrations were evaluated together with outdoor concentrations. In general, it can be said that the calculated I/O ratios for SO2, NO2, O3, bacteria, and fungi were less than 1 in most indoor environments.

Prevalence of Anxiety, Depression, and Sleep Disturbances Associated With the COVID-19 Outbreak in Riyadh, Saudi Arabia.

BackgroundCOVID-19 became a global respiratory pandemic as it disrupted millions of lives and commerce. The implementation of strict lockdown measures to confine the outbreak can negatively affect people’s overall sleep quality and mental health. We aimed to assess the prevalence of sleep disturbance and the psychological impact associated with the spread of COVID-19 in Riyadh, Saudi Arabia. Materials and methodsA cross-sectional study was conducted in Riyadh, Saudi Arabia. A nationally online questionnaire was sent to participants aged >18 years to assess their socio-demographic information, assessment of psychological status by Hospital Anxiety and Depression Scale (HADS), and assessment of sleep disturbance by Athens Insomnia Scale (AIS) and Insomnia Severity Index (ISI) scales. ResultsThe total sample consisted of 399 participants. The mean age was 34.70 ± 12.57 years; predominant responses were from females (69.4%). The study sample was mostly made up of students (32.1%), and more than half of the participants (52.6%) were married. The prevalence of anxiety, depression, and insomnia was 38.6%, 33.1%, and 54.9%, respectively. Participants with comorbidities were significantly at higher risk of having symptoms of depression in comparison to subjects free from chronic diseases (OR=2.19 95% Cl: 1.24-3.86, p=001). ConclusionThese findings suggest that the prevalence of poor sleep quality and worsening mental health in Riyadh, Saudi Arabia was high during the COVID-19 lockdown, which articulates the requirement for raising the awareness, screening, and management of worsening sleep quality and mental health due to the unwholesome effect they may have on the individual’s health.

Investigating Depression among Saudi Students during Covid-19 Strict Lockdown Measures.

Investigating Depression among Saudi Students during Covid-19 Strict Lockdown Measures.

The Impact of the First 11 Months of the COVID-19 Pandemic on Vascular Patients’ Care and Hospitalisation Rate in the Vascular Surgery Divisions of Southern Italy

The Impact of the First 11 Months of the COVID-19 Pandemic on Vascular Patients’ Care and Hospitalisation Rate in the Vascular Surgery Divisions of Southern Italy

Impact of COVID-19 Outbreak on the Gynecological Outpatients HPV Infection Rate in Wuhan, China: A Retrospective Observational Study

BackgroundThe recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has caused millions of deaths and greatly influenced the timely diagnosis and treatment of other diseases. Throughout the pandemic, there was a dramatic reduction in the prevalence of several sexually transmitted infections. However, the impact of the ongoing pandemic on human papillomavirus (HPV) infection rates has not been investigated thus far.Materials and MethodsWe retrospectively collected data regarding HPV and cervical cancer screening results of outpatients from gynecological clinics of a tertiary hospital from 1 December 2018 to 31 December 2020 in Wuhan. Based on the timeline of the SARS-CoV-2 pandemic in Wuhan, we divided this period into four relatively independent stages to compare the HPV screening visit numbers and infection rates.ResultsThere was a 50% drop in HPV screening visits and a 10% drop in HPV infection rates throughout the pandemic when compared with the numbers collected before the pandemic. Strict lockdown measures greatly decreased the HPV infection rate (17.03 vs. 8.29, P = 0.003). During the pandemic, the most prevalent HPV genotypes were HPV 16, 52, 58, and 53. After the pandemic, the HPV infection rate recovered quickly, but it was still slightly lower than the infection rate found before the outbreak (23.3 vs. 21.2%).ConclusionDuring coronavirus disease 2019 (COVID-19) pandemic, cervical cancer screening visits and HPV infection rates have decreased dramatically. The HPV transmission has also decreased after strict lockdown. Effective HPV and cervical cancer screening programs should be strengthened immediately to reduce the transmission of HPV during and after the pandemic.

Nutritional intakes of highly trained adolescent swimmers before, during, and after a national lockdown in the COVID-19 pandemic.

Strict lockdown measures were introduced in response to the COVID-19 pandemic, which caused mass disruption to adolescent swimmers' daily routines. To measure how lockdown impacted nutritional practices in this cohort, three-day photograph food diaries were analysed at three time points: before (January), during (April), and after (September) the first UK lockdown. Thirteen swimmers (aged 15 ± 1 years) from a high-performance swimming club submitted satisfactory food diaries at all time points. During lockdown, lower amounts of energy (45.3 ± 9.8 vs. 31.1 ± 7.7 kcal∙kg BM∙day-1, p<0.001), carbohydrate (5.4 ± 1.2 vs. 3.5 ± 1.1 g∙kg BM∙day-1, p<0.001), protein (2.3 ± 0.4 vs. 1.7 ± 0.4 g∙kg BM∙day-1, p = 0.002), and fat (1.6 ± 0.4 vs. 1.1 ± 0.3 g∙kg BM∙day-1, p = 0.011) were reported. After lockdown, no nutritional differences were found in comparison compared to before lockdown (energy: 44.0 ± 12.1 kcal∙kg BM∙day-1; carbohydrate: 5.4 ± 1.4 g∙kg BM∙day-1; protein: 2.1 ± 0.6 g∙kg BM∙day-1; fat: 1.5 ± 0.6 g ∙kg BM∙day-1, all p>0.05), despite fewer training hours being completed (15.0 ± 1.4 vs. 19.1 ± 2.2 h∙week-1, p<0.001). These findings highlight the ability of adolescent swimmers to alter their nutrition based on their changing training circumstances when receiving sport nutrition support. However, some individuals displayed signs of suboptimal nutrition during lockdown that were not corrected once training resumed. This warrants future research to develop interactive education workshops that maintain focus and motivation towards optimal nutrition practices in isolated periods away from training.

Effect of COVID-19 on older adults 50 years and above living with HIV in a less-developed country

Introduction: Globally, control measures have been communicated to reverse the COVID-19 pandemic. In Uganda, as soon as the first case of COVID-19 was identified, strict lockdown measures were enforced, including a ban on all public and private transport, night curfew, closure of schools, and suspension of religious and social gatherings and closure of non-essential shops and markets. These measures affected access to health services, which could have been worse for older people living with HIV (PLHIV). In this study, we explored how COVID-19 affected the health and social life of older PLHIV. Methods: We conducted a qualitative study in HIV clinics of two hospitals in Uganda. We completed 40 in-depth interviews with adults above 50 years who had lived with HIV for more than 10 years. The interviews explored the effect of COVID-19 on their health and social life during the lockdown. We analysed data thematically. Results: The overarching themes regarding the effects of COVID-19 on older adults living with HIV were fear and anxiety during the lockdown, lack of access to health care leading to missing HIV clinic appointments and not taking their ART medicines, financial burden, loss of loved ones, and effect on children’s education. Some patients overcame health-related challenges by sending motorcycles to their health facilities with their identifying documents to get the medicines refilled. Some health care providers took the ART medicines to their patients’ homes. Conclusion: The COVID-19 lockdown negatively affected the health and social well-being of older PLHIV. This calls for strategies to improve HIV care and treatment access during the lockdown to sustain the HIV program gains in this vulnerable population.

Self‐harm in an older adult population during the COVID‐19 pandemic

The COVID‐19 pandemic has presented major challenges for all demographics of society. The strict lockdown measures utilised to control the spread of the virus have the potential unintended consequences of exacerbating social isolation and loneliness, which are recognised to be pre‐existing issues in the elderly population. Because of this, the pandemic may have disproportionality impacted the elderly population. One way that the distress caused by the pandemic could manifest is through self‐harm and suicide. Here, the authors present a retrospective, cross‐sectional study examining self‐harm in an older adult population in the south west of England.

A Longitudinal Study on Maternal Depressive Symptoms During the COVID-19 Pandemic: The Role of Strict Lockdown Measures and Social Support

Objectives: This study examined the trajectory of perinatal depressive symptoms in Portuguese women during the COVID-19 pandemic and the role of individual, relational, and contextual risk and protective factors. Methods: This 3-wave longitudinal study followed 290 pregnant women from the third trimester of pregnancy until 6-months postpartum. Women self-reported on depressive symptoms, psychological (anxiety, perceived stress, mindfulness), relational (perceived social support, dyadic adjustment, sexual wellbeing), and contextual (lockdown status) factors. Results: Women who were under strict lockdown presented significantly higher scores of depressive symptoms at baseline (by 1.38 EPDS points) than women who were not under strict lockdown measures. Mixed Growth Models showed that trajectories of depressive symptoms were explained by differences in women’s baseline depression. Differences in women’s depressive symptoms at baseline were mainly explained by higher anxiety and lower social support (22% and 24% for women under lockdown; 39% and 6% for women not on lockdown, respectively). Conclusion: Preventative interventions targeted at pregnant women should aim to reduce anxiety and enhance women’s social support to prevent depression in pregnancy and postpartum during the COVID-19 pandemic.

Psychopathology and resilience following strict COVID-19 lockdowns in Hubei, China: Examining person- and context-level predictors for longitudinal trajectories.

In Hubei, China, where the coronavirus disease (COVID-19) epidemic first emerged, the government has enforced strict quarantine and lockdown measures. Longitudinal studies suggest that the impact of adverse events on psychological adjustment is highly heterogenous. To better understand protective and risk factors that predict longitudinal psychopathology and resilience following strict COVID-19 lockdowns, this study used unsupervised machine learning to identify half-year longitudinal trajectories (April, June, August, and October, 2020) of three mental health outcomes (depression, anxiety, and posttraumatic stress disorder [PTSD]) among a sample of Hubei residents (N = 326), assessed a broad range of person- and context-level predictors, and applied least absolute shrinkage and selection operator (LASSO) logistic regression, a supervised machine learning approach, to select best predictors for trajectory memberships of resilience and chronic psychopathology. Across outcomes, most individuals remained resilient. Models with both person- and context-level predictors showed excellent predictive accuracy, except for models predicting chronic anxiety. The person-level models showed either good or excellent predictive accuracy. The context-level models showed good predictive accuracy for depression trajectories but were only fair in predicting trajectories of anxiety and PTSD. Overall, the most critical person-level predictors were worry, optimism, fear of COVID, and coping flexibility, whereas important context-level predictors included features of stressful life events, community satisfaction, and family support. This study identified clinical patterns of response to COVID-19 lockdowns and used a combination of risk and protective factors to accurately differentiate these patterns. These findings have implications for clinical risk identifications and interventions in the context of potential trauma. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

ACCESS TO EARLY PHASE CLINICAL TRIALS AT THE TIME OF THE COVID-19 PANDEMIC: AN ITALIAN SURVEY

Italy was among the first countries hit by the pandemic of coronavirus disease 2019 (COVID-19). The application of strict lockdown measures disproportionately affected both cancer patient care as well as cancer research. A survey was conducted among Italian oncologists to explore whether and how the COVID-19 outbreak has changed their aptitudes and practice toward … Continued

Urban Heat Islands Significantly Reduced by COVID‐19 Lockdown

AbstractThe significant reduction in human activities during COVID‐19 lockdown is anticipated to substantially influence urban climates, especially urban heat islands (UHIs). However, the UHI variations during lockdown periods remain to be quantified. Based on the MODIS daily land surface temperature and the in‐situ surface air temperature observations, we reveal a substantial decline in both surface and canopy UHIs over 300‐plus megacities in China during lockdown periods compared with reference periods. The surface UHI intensity (UHII) is reduced by 0.25 (one S.D. = 0.22) K in the daytime and by 0.23 (0.20) K at night during lockdown periods. The reductions in canopy UHII reach 0.42 (one S.D. = 0.26) K in the daytime and 0.39 (0.29) K at night. These reductions are mainly due to the near‐unprecedented drop in human activities induced by strict lockdown measures. Our results provide an improved understanding of the urban climate variations during the global pandemic.

Spatiotemporal evolution of NO2 diffusion in Beijing in response to COVID-19 lockdown using complex network

The COVID-19 pandemic and the corresponding lockdown measures have been confirmed to reduce the air pollution in major megacities worldwide. Especially at some monitoring hotspots, NO2 has been verified to show a significant decrease. However, the diffusion pattern of these hotspots in responding to COVID-19 is not clearly understood at present stage. Hence, we selected Beijing, a typical megacity with the strictest lockdown measures during COVID-19 period, as the studied city and attempted to discover the NO2 diffusion process through complex network method. The improved metrics derived from the topological structure of the network were adopted to describe the performance of diffusion. Primarily, we found evidences that COVID-19 had significant effects on the spatial diffusion distribution due to combined effect of changed human activities and meteorological conditions. Besides, to further quantify the impacts of disturbance caused by different lockdown measures, we discussed the evolutionary diffusion patterns from lockdown period to recovery period. The results displayed that the difference between normal operation and pandemic operation firstly increased at the cutoff of lockdown measures but then declined after the implement of recovery measures. The source areas had greater vulnerability and lower resilience than receptors areas. Furthermore, based on the conclusion that the diffusion pattern changed during different periods, we explored the key stations on the path of diffusion process to further gain information. These findings could provide references for comprehending spatiotemporal pattern on city scale, which might be help for high-resolution air pollution mapping and prediction.