COVID-19 Containment Measures Research Articles

Discrimination during COVID-19: Assessing migrant workers’ vulnerability to forced labor in Thailand’s seafood industry

Between 2020 and 2022, Thailand instituted a series of policies to manage the COVID-19 pandemic. However, many of the regulations were rooted in structural discrimination against the migrant population. This paper reveals how the discriminatory nature of the government’s policies heightened the vulnerability of migrant workers in Thailand’s commercial fishing and seafood processing industries. COVID-19 containment measures and immigration policies, coupled with the exclusion of migrant workers from social protection programs, inadvertently subjected migrant workers in Thailand’s seafood industry to increased risk of forced labor. At the same time, further restrictions on freedom of association rights and the weakening of labor inspections during the pandemic hampered workers’ ability to report labor abuses and the government’s ability to identify and remedy cases of forced labor.

Spatiotemporal Patterns of Air Pollutants over the Epidemic Course: A National Study in China

Air pollution has been standing as one of the most pressing global challenges. The changing patterns of air pollutants at different spatial and temporal scales have been substantially studied all over the world, which, however, were intricately disturbed by COVID-19 and subsequent containment measures. Understanding fine-scale changing patterns of air pollutants at different stages over the epidemic’s course is necessary for better identifying region-specific drivers of air pollution and preparing for environmental decision making during future epidemics. Taking China as an example, this study developed a multi-output LightGBM approach to estimate monthly concentrations of the six major air pollutants (i.e., PM2.5, PM10, NO2, SO2, O3, and CO) in China and revealed distinct spatiotemporal patterns for each pollutant over the epidemic’s course. The 5-year period of 2019–2023 was selected to observe changes in the concentrations of air pollutants from the pre-COVID-19 era to the lifting of all containment measures. The performance of our model, assessed by cross-validation R2, demonstrated high accuracy with values of 0.92 for PM2.5, 0.95 for PM10, 0.95 for O3, 0.90 for NO2, 0.79 for SO2, and 0.82 for CO. Notably, there was an improvement in the concentrations of particulate matter, particularly for PM2.5, although PM10 exhibited a rebound in northern regions. The concentrations of SO2 and CO consistently declined across the country over the epidemic’s course (p < 0.001 and p < 0.05, respectively), while O3 concentrations in southern regions experienced a notable increase. Concentrations of air pollutants in the Beijing–Tianjin–Hebei region were effectively controlled and mitigated. The findings of this study provide critical insights into changing trends of air quality during public health emergencies, help guide the development of targeted interventions, and inform policy making aimed at reducing disease burdens associated with air pollution.

The impact of COVID-19 on deaths from dementia and Alzheimer’s disease in Chile: an analysis of panel data for 16 regions, 2017–2022

Although several studies have documented the detrimental impacts of global COVID-19 containment measures on individuals with Alzheimer's disease and dementia, a comprehensive analysis of mortality rates for these conditions within the Chilean population is notably lacking. This study aimed to analyze the impact of COVID-19 on mortality rates among individuals with dementia and Alzheimer's disease in Chile. A retrospective longitudinal cross-sectional study was conducted, considering mortality data for specific mental health conditions during the pre-pandemic and pandemic contexts of COVID-19 in Chile. Quantile regression techniques were employed to analyze the existence of differences between the two periods, while non-observable heterogeneity models for panel data methods were used to evaluate the effect of COVID-19 mortality on crude mortality rates. Statistically significant differences were observed in the number of deaths from dementia and Alzheimer's disease between the pre-pandemic and COVID-19 pandemic periods. Specifically, crude mortality rates decreased by 10% (-0.10 [95% CI:-0.16,-0.05]) during the pandemic period. Furthermore, the number of deaths from COVID-19 during the pandemic period has a very weak incidence of deaths from mental health conditions such as dementia and Alzheimer's. Specifically, a unit percentage increase in confirmed cases from COVID-19 would result in a 7% (-0.07 [95% CI:-0.13,-0.001]) decrease in the number of deaths from dementia and Alzheimer's. These findings are supported by the application of panel regression with one-way random effects models. The study findings indicate a reduction in mortality rates attributed to dementia and Alzheimer's disease during the COVID-19 pandemic in Chile. This decline could be attributed to the potential underreporting of mental illness as the cause of death during the pandemic period. Several studies have highlighted that approximately 30% of death certificates fail to document the presence of a dementia syndrome. Moreover, the cause of death recorded for individuals with mental health conditions may be influenced by the physician's familiarity with the patient or reflect the prevailing approach to managing end-stage dementia patients. This work received no funding.

Moderating the effect of age and sex on the relationship between personality and adherence to containment measures

Aim of the studyWe aimed to investigate the moderation effect of sex and age on the relationship between personality and adherence to COVID-19 containment measures.Subject or material and methodsParticipants were 4,538 Brazilian adults, ranging from 18 to 79 years old (M= 31.07, DP= 11.37), which responded to the BFI-2-S and questions regarding adherence to COVID-19 containment measures. We performed an SEM model to investigate the relationship between variables.ResultsOverall, our results indicated that agreeableness, neuroticism, extroversion, openness, and sex are significant predictors of adherence to containment measures. We also identified a positive moderation effect of age in the relationship between neuroticism and commitment to containment measures.DiscussionLevels of personality traits and sex can influence the tendency to comply with containment measures. Age does not directly impact adherence to containment measures; however, it can strengthen the relationship between neuroticism and commitment.ConclusionsIndividual differences can affect the adherence to the containment measures directly and indirectly.

Change in body weight of older adults before and during the COVID-19 pandemic: longitudinal results from the Berlin Aging Study II

ObjectivesChange in body weight during the COVID-19 pandemic as an unintended side effect of lockdown measures has been predominantly reported for younger and middle-aged adults. However, information on older adults for which weight loss is known to result in adverse outcomes, is scarce. In this study we describe the body weight change in older adults before, during, and after the COVID-19 lockdown measures and explore putative associated factors with a focus on the period that includes the first six months of the COVID-19 containment measures. DesignProspective cohort study with three follow-up examinations over the course of 10 years. Setting and ParticipantsIn this study, we analyzed the longitudinal weight change of 472 participants of the Berlin Aging Study II (mean age of 67.5 years at baseline). MeasurementsBody weight was assessed at four time points. Additionally, differences between subgroups characterized by socio-economic, cognitive, and psychosocial variables as well as morbidity burden, biological age markers (epigenetic clocks, telomere length), and frailty were compared. ResultsOn average, women and men lost 0.87% (n = 227) and 0.5% (n = 245) of their body weight per year in the study period covering the first six months of the COVID-19 pandemic. Weight loss among men was particularly pronounced among groups characterized by change in physical activity due to COVID-19 lockdown, low positive affect, premature epigenetic age (7-CpG clock), diagnosed metabolic syndrome, and a more masculine gender score (all variables: p < 0.05, n = 245). ConclusionDuring the COVID-19 pandemic, older participants lost weight with a 2.5-times (women) and 2-times (men) higher rate than what is expected in this age.

A political psychology of the link between populist beliefs and compliance with COVID-19 containment measures

This paper addresses the relationship between populist beliefs and compliance with COVID-19 containment measures. We argue that an understanding of this issue depends upon developing a social/political psychology which addresses the impact of social groups and social relations upon behavior. More specifically we propose that populist beliefs are based on the notion that elite authorities are opposed to the people and hence not to be trusted by them which in turn reduces compliance with what they propose. Furthermore, we draw distinctions between different domains of compliance (getting vaccinated, social distancing and complying with “track and trace”) and different forms of authority (politicians and scientists). We argue that, whereas loss of trust in politicians only undermines engagement with forms of compliance which involve direct engagement with political authority (i.e., track and trace) loss of trust in scientists undermines the very belief that there is a pandemic and hence reduces all forms of compliance. We use a survey of 321 English and Welsh respondents to address these arguments. The data provide weak support for the hypothesis that populism has an effect on compliance through trust in politicians but only in the case of participating in track and trace. The data provide stronger support for the hypothesis that populism has an effect on all forms of compliance through trust in scientists, but only when scientists are perceived as part of the elite. Over all these results demonstrate that the ability to understand the complex relationships between populist beliefs and compliance depends on developing a social/political psychology of COVID-19 which is able to explain how human behavior is shaped by social identities and social relationships which, in turn, are shaped by political ideologies.

Natural experiments to assess the effectiveness of Covid-19 containment measures

To assess the effectiveness of non-pharmaceutical interventions (NPIs) in controlling infections during the Covid-19 pandemic, natural experiments are useful. This article introduces the principle of natural experiments and their statistical analysis and, in the first step, discusses their implementation in previous NPI studies. The validity of many studies on the effectiveness of NPIs is limited because, on the one hand, there are often no or only weak control conditions and, on the other hand, because there are problems in the specification of the analysis models. It is often implicitly assumed that only NPIs can slow down the infection process because there are no control variables for any other causes. In the second step, a natural experiment is analyzed about the effectiveness of five measures in the second Corona wave. Switzerland (where these measures were not taken) and neighboring Baden-Württemberg serve as comparison regions. It turns out that the closure of close-contact services causes a reduction in the effective reproduction number, i.e., dampens the wave of infections. However, closing schools and daycare facilities as well as hotels is not effective.

Covid-19 Containment Measures and their Effect on Socio-Economic Wellbeing of Uasin Gishu County Government Staff, Kenya

COVID-19 was a major health emergency worldwide; countries were forced to adopt quarantine measures and other restrictions because of the highly infectiousness nature of COVID-19. It is in this context that the study sought to investigate the Effect of the containment measures on socio-economic wellbeing of Uasin Gishu County Government Staff, Kenya. The specific objectives of the study were: to determine the influence of implementation of COVID-19 behavioural protocols on socio-economic wellbeing of staff of Uasin Gishu County Government; to assess the impact of implementation of COVID-19 fiscal measures on socioeconomic wellbeing of employees of Uasin Gishu County Government; and to determine the influence of implementation of COVID-19 macro-financial measures on socioeconomic wellbeing of employees of Uasin Gishu County; The study adopted explanatory mixed method research design. The target population comprised 6,400 employees in Uasin Gishu County. The study employed stratified sampling and simple random sampling techniques to select the respondents. The sample size consisted of 10 heads of departments and 198 employees of Uasin Gishu county government. The data collection tools were questionnaire and interview guide. The data collected was analyzed using descriptive statistics including mean, percentages and frequencies; chi-square was used to test the hypotheses. Inferential statistics was also used. Analysis by the implementation of COVID-19 behavioural protocols as a containment measure shows that the P-value = .000 was less than the Alpha level 0.05. Therefore, there was statistical significance relationship between behavioral COVID-19 containment measures and socio-economic wellbeing of employees of Uasin Gishu County Government. Behavioural measures such as lock down highly disrupted businesses’ sourcing and distribution functions, which in turn affected the socio-economic wellbeing of the local population. The study recommended that financial organizations should offer trainings to the masses to embrace saving and empower them to participate in multiple economic activities; this would ensure that in any of any occurrences such as COVID 19, the businesses would have the resilience to cope.

The dynamic connectedness between macroeconomic uncertainty and commodity volatility: evidence from China

ABSTRACT We investigate the dynamic connectedness between Chinese macroeconomic uncertainty and volatility in Chinese commodity markets, controlling for international macroeconomic uncertainty, international commodities and Economic Policy Uncertainty Index (EPU), and adopting an approach that combines the Diebold – Yilmaz connectedness measure with the time-varying VAR model. Our empirical results indicate that Chinese macroeconomic uncertainty was the main net transmitter of the commodities commonly used in manufacturing, such as chemical engineering materials and non-ferrous metal, over the whole sample period, and had a considerable impact on these commodities due to the production shutdown caused by COVID-19 containment measures. This indicates the important role of Chinese macroeconomic uncertainty on the supply and demand sides. As China is the largest manufacturing country, macroeconomic uncertainty in this nation has had a significant and increasing influence on international commodities, especially when there occur events that severely affect global production activity. However, the impacts of EPUs on commodity volatilities were limited compared with the effects of Chinese macroeconomic uncertainty, especially during the COVID-19 pandemic, demonstrating that macroeconomic uncertainty, which reflects uncertainty about future aggregate supply and demand, plays a more crucial role in driving the volatility of commodities with stronger production attributes.

Long-term care needs and the risk of household poverty across Europe: a comparative secondary data study

PurposePopulation ageing and rising poverty are two of the most pressing issues today, even in Western European nations, growing as a result of the recent global economic crisis and the COVID-19 containment measures. This study explores the relationship between long-term care (LTC) needs and risk of poverty at household level in eight European countries, representing the different European care regimes.MethodsThe main international databases were scoured for study variables, categorized according to the following conceptual areas: home care, residential care, health expenditure, service coverage, cash benefits, private services, population, family, education, employment, poverty, disability and care recipients, and life expectancy. We initially identified 104 variables regarding 8 different countries (Austria, Finland, Germany, the Netherlands, Italy, Spain, Poland, Romania). Statistical analyses were conducted as described hereafter: analysis of the Pearson’s Bivariate Correlation between the dependent variable and all other variables; a Multivariable Linear Regression Model between the Poverty Index (dependent variable) and the covariates identified in the preceding step; a check for geographical clustering effects and a reduced Multivariable Linear Regression Model for each identified European cluster.ResultsThe variables that addressed the risk of poverty pertained to the area of policy intervention and service provision. Rising private out-of-pocket health expenditures and proportion of “poor” couples with at least one child are two factors that contributed significantly to poverty increasing. Moreover, rising private out-of-pocket health expenditures for covering LTC needs (even in presence of public financial contribution to the family) is the main contributor to household poverty increasing in presence of ADL disability.ConclusionThe results reveal the existence of a clear correlation between the need for LTC and the risk of poverty in households across Europe. These results highlight the central relevance of LTC policies, which are often still treated as marginal and sectoral, for the future sustainability of integrated care strategies.

Early-childhood body mass index and its association with the COVID-19 pandemic, containment measures and islet autoimmunity in children with increased risk for type 1 diabetes

Aims/hypothesisThe aim of this study was to determine whether BMI in early childhood was affected by the COVID-19 pandemic and containment measures, and whether it was associated with the risk for islet autoimmunity.MethodsBetween February 2018 and May 2023, data on BMI and islet autoimmunity were collected from 1050 children enrolled in the Primary Oral Insulin Trial, aged from 4.0 months to 5.5 years of age. The start of the COVID-19 pandemic was defined as 18 March 2020, and a stringency index was used to assess the stringency of containment measures. Islet autoimmunity was defined as either the development of persistent confirmed multiple islet autoantibodies, or the development of one or more islet autoantibodies and type 1 diabetes. Multivariate linear mixed-effect, linear and logistic regression methods were applied to assess the effect of the COVID-19 pandemic and the stringency index on early-childhood BMI measurements (BMI as a time-varying variable, BMI at 9 months of age and overweight risk at 9 months of age), and Cox proportional hazard models were used to assess the effect of BMI measurements on islet autoimmunity risk.ResultsThe COVID-19 pandemic was associated with increased time-varying BMI (β = 0.39; 95% CI 0.30, 0.47) and overweight risk at 9 months (β = 0.44; 95% CI 0.03, 0.84). During the COVID-19 pandemic, a higher stringency index was positively associated with time-varying BMI (β = 0.02; 95% CI 0.00, 0.04 per 10 units increase), BMI at 9 months (β = 0.13; 95% CI 0.01, 0.25) and overweight risk at 9 months (β = 0.23; 95% CI 0.03, 0.43). A higher age-corrected BMI and overweight risk at 9 months were associated with increased risk for developing islet autoimmunity up to 5.5 years of age (HR 1.16; 95% CI 1.01, 1.32 and HR 1.68, 95% CI 1.00, 2.82, respectively).Conclusions/interpretationEarly-childhood BMI increased during the COVID-19 pandemic, and was influenced by the level of restrictions during the pandemic. Controlling for the COVID-19 pandemic, elevated BMI during early childhood was associated with increased risk for childhood islet autoimmunity in children with genetic susceptibility to type 1 diabetes.Graphical

Impact of COVID-19 containment measures on perceived health and health-protective behavior: a longitudinal study

This longitudinal study aimed to assess the impact of COVID-19 containment measures on perceived health, health protective behavior and risk perception, and investigate whether chronic disease status and urbanicity of the residential area modify these effects. Participants (n = 5420) were followed for up to 14 months (September 2020-October 2021) by monthly questionnaires. Chronic disease status was obtained at baseline. Urbanicity of residential areas was assessed based on postal codes or neighborhoods. Exposure to containment measures was assessed using the Containment and Health Index (CHI). Bayesian multilevel-models were used to assess effect modification of chronic disease status and urbanicity by CHI. CHI was associated with higher odds for worse physical health in people with chronic disease (OR = 1.09, 95% credibility interval (CrI) = 1.01, 1.17), but not in those without (OR = 1.01, Crl = 0.95, 1.06). Similarly, the association of CHI with higher odds for worse mental health in urban dwellers (OR = 1.31, Crl = 1.23, 1.40) was less pronounced in rural residents (OR = 1.20, Crl = 1.13, 1.28). Associations with behavior and risk perception also differed between groups. Our study suggests that individuals with chronic disease and those living in urban areas are differentially affected by government measures put in place to manage the COVID-19 pandemic. This highlights the importance of considering vulnerable subgroups in decision making regarding containment measures.

Compliance with measures among actors and lessons learnt in the management of COVID-19 institutional quarantine in Uganda

IntroductionTo support COVID-19 containment measures, several countries implemented quarantine protocols. This study determined the level of compliance to COVID-19 quarantine measures, associated factors, and lessons learnt in institutional quarantine management in Uganda. MethodsThis concurrent mixed methods study involved a cross-sectional survey among individuals who were in institutional quarantine and interviews with key informants, who were reached mostly through phone calls. Univariate, bivariate, and multivariable analysis were conducted to analyse quantitative data while qualitative data were analysed thematically with the aid of Atlas ti 7. ResultsCompliance with quarantine measures at the individual level was moderate at 65.4 %. Factors associated with high compliance with measures were: older age (above 40 years) [APR = 1.30 (95 % CI: 1.04–1.63)], spending 14–15 days in quarantine [APR = 1.39 (95 % CI: 1.00–1.92)] and reporting a high Ministry of Health compliance [APR = 1.33 (CI: 1.11–1.58)]. The positive factors included the availability of guidelines, inspection of facilities and training of personnel. The challenges were related to long turnaround time for results and provision of personal protective equipment (PPE). ConclusionEfforts to improve training, supervision and inspection of facilities, and provision of adequate PPE would improve compliance with quarantine measures.

Antisocial personality traits relationship with behaviours and beliefs on COVID-19 containment measures: Investigation in a large Brazilian sample.

In the COVID-19 context, traits associated with antisociality can decrease concern and awareness about the potential harmfulness of the virus. This study investigated associations of pathological traits of antisocial personality disorder (ASPD) with behaviours and beliefs linked to COVID-19 containment measures. The sample consisted of 2230 Brazilian adults who answered ASPD-related facets of the Personality Inventory for DSM-5 and a questionnaire regarding adherence to COVID-19 containment measures. We applied the DSM-5 ASPD criteria to divide the sample into antisocial and non-antisocial groups. Our findings suggest that individuals meeting the criteria for ASPD tend to exhibit reduced compliance with pandemic control measures and lower adherence to hygiene practices. Moreover, sex, income, and age should be considered potential covariates in research investigating the relationship between antisocial traits and adherence to COVID-19 preventive measures. Altogether, our findings highlight ASPD traits' role in the predisposition to lack of prosocial behaviours of adherence to COVID-19 containment measures.

Perceptions of pregnant women on antenatal care visit during their first trimester at area 25 health center in Lilongwe, Malawi – a qualitative study

BackgroundInitiation of antenatal care during the first trimester is crucial for reducing maternal and neonatal morbidity and mortality. Unfortunately, only 24% of pregnant women in Malawi initiate antenatal care during this time with even lower rates of 15% at Area 25 Health Centre in Lilongwe. Despite such cases, there is little literature on obstacles that prevent women from accessing first-trimester antenatal care in Malawi.AimTo explore perceptions of pregnant women and how they influence antenatal care visits during the first trimester at Area 25 Health Centre in Lilongwe, Malawi.MethodsWe employed a qualitative exploratory study on 55 purposely identified participants. The participants were aged between 18 and 37 years with a gestational period of 36 weeks and below and attended antenatal care at Area 25 Health Centre in Lilongwe Urban, Malawi. Data were collected by MN and 2 data collectors from 19th March 2021 to 16th April 2021 through a total of 15 In-depth Interviews (IDIs) and four Focus Group Discussions (FGDs). Data were manually analysed using thematic analysis, which included categorization and deductive theme identification with reference to the study objectives and the Health Belief Model (HBM).ResultsPregnant women perceived that the first-trimester antenatal care visits were only for those experiencing ill health conditions like backache, headache, and HIV/AIDS during pregnancy. First-trimester pregnancy was perceived as too small and not worthy of seeking antenatal care; the women placed a low value on it. The majority of those who initiated antenatal care in the first trimester had previously experienced disorders and complications such as previous cesarean sections and abortions. In addition to limited knowledge about the required total number of ANC visits, challenges such as long-distance, preoccupation with business, multiple antenatal visits, scheduling of antenatal care visits, negative attitude of health workers, adherence to COVID-19 containment measures, and inadequate partner support, were identified as barriers to seeking antenatal care during the first trimester.ConclusionThe negative perceptions among pregnant women, coupled with various health systems, socio-economic and individual barriers, contributed to low attendance rates for first trimester antenatal care in Malawi. Addressing knowledge gaps and overcoming barriers related to economic, individual and health care delivery can improve women’s early antenatal care visits. Future research should consider the pregnant women from diverse socioeconomic backgrounds to gain a better understanding of these perceptions and barriers.

Impacts of irregular and strategic lockdown on air quality over Indo-Pak Subcontinent: Pre-to-post COVID-19 analysis

The COVID-19 pandemic has received enormous attention worldwide due to its environmental, and societal impacts. After the discovery of this novel virus in December 2019, the governmental bodies have suspended the social and economic activities and declare an unprecedented lockdown emergency. The present work sought to investigate the impact of COVID-19 containment measures on air quality in the region of Indo-Pak subcontinent (IPS). The satellite retrievals of aerosol optical depth (AOD), sulfur dioxide (SO2), nitrogen dioxide (NO2), and Ozone (O3) was used to estimate the spatial-temporal extent of major air pollutants in the region during lock down period (March–May 2020) in comparison to the pre-lockdown period (March–May 2015–2019) and post-lockdown (March–May 2021) across the IPS. From the results, a considerable reduction in air pollutants concentration has been observed during the lockdown phase that in turns significantly improved the regional air quality. Moreover, we have also done comparative analysis among meteorological parameters and ambient air pollutants and observed that meteorological factors were not the main reason for the dramatic reductions of pollutants in the atmosphere. In addition, backward trajectory analysis has been done through the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model to find the path and direction of air particles parcels as large-scale atmospheric circulation is a critical factor in driving pollutant. Following the implementation of strict lockdown, reduction in anthropogenic activities led to a substantial decline in AOD, SO2 and NO2 whereas, a considerable increase in tropospheric O3 has been observed and well supported by other regional studies. Overall, the findings of this study are believed to be a useful addition to the regulatory authorities and will help the policymakers to formulate the air pollution mitigation strategies in a long-term perspective.

The effect of COVID-19 containment measures on fresh food market vendors in Uganda

PurposeThe coronavirus disease (COVID-19) pandemic continues to impact economic systems, with devastating consequences on livelihoods. Anecdotal evidence has predicted the adverse effects of COVID-19 on the livelihood of food system actors. Uganda experienced two lockdowns in March 2020 and June 2021 with varying government containment measures. During the first lockdown, fresh food market vending was deemed essential to meet urban food demand, and was consequently exempted from a total shutdown despite the ban on public and private transport. Thus, this study sought to examine the effect of COVID-19 containment measures on fresh food market vending businesses in Uganda.Design/methodology/approachUsing primary data collected from fresh food market vendors, this study applied a pooled time-series estimation to examine the effect of the first lockdown COVID-19 containment measures on fresh food vendors' welfare.FindingsThe study revealed that COVID-19 had a significant negative impact on the income of fresh food vendors, with female vendors being the most affected. COVID-19 containment measures reduced the diversity of buyers, individual customers and the number of commodities traded in causing a greater impact on vendors' income.Research limitations/implicationsThe unavailability of data for vendors who did not return to the market at the time of data collection limits the scope of the study. Additionally, the absence of data for the second lockdown limited the analysis to only March 2020 lockdown period.Originality/valueThe empirical analysis highlights how vulnerabilities of different gender categories could be exacerbated by crises. The study provides empirical evidence of various market distortions caused by the COVID-19 pandemic and the disproportionate impact on women and men market vendors which calls for the need to integrate women's perspectives in future planning for market systems as well as advocating for gender-sensitive recovery responses.

Epidemiologic features of neonatal sepsis and its COVID-19 associated temporal patterns in Jimma Medical Center, Ethiopia: A Joinpoint regression analysis.

Neonatal sepsis remains a leading cause of morbidity and mortality in neonates across all regions, including Africa. Compared to developed and some developing countries, there are relatively few epidemiological trends for neonatal sepsis and associated patterns with COVID-19 in Ethiopia. We modeled an epidemiological trend and pattern to aid in the monitoring of changes in neonatal sepsis. Retrospective data were collected from all admissions to the Neonatal Intensive Care Unit (NICU) in Ethiopia at Jimma Medical Center between May 2019 and April 2022. We analyzed the monthly neonatal sepsis incidence, mortality, and case-fatality rates using STATA software. Finally, we modeled a monthly time series of neonatal sepsis incidence trends and patterns associated with the COVID-19-impacted period using Joinpoint software. For all analyses, a P value of 0.05 was considered statistically significant at the 95% confidence interval (CI). In the 36 months, 6796 cases were admitted to the NICU, with a 9.5% (95% CI: 9.1, 10.0) incidence rate of neonatal sepsis. The overall admission mortality rate was 16.5% (95% CI: 13.6, 19.8), while sepsis-attributed mortality was 7.1% (95% CI: 5.8, 8.5). The data showed an unstable decreasing trend for three Joinpoints (August 2020, December 2020, and August 2021). Notably, a decrease in the incidence trend was observed from May 2019 to August 2020 (MPC, -4.1; 95% CI: -7.6, -0.5; P = 0.03), followed by a sharp increase (MPC, 23.7; 95% CI: -13.8, 77.7; P = 0.24) from August 2020 to December 2020. From December 2020 to August 2021, there was again a decreasing trend (MPC, -13.8; 95% CI: -23.3, -3.5; P = 0.01), followed by a slight increase from August 2021 to April 2022 (MPC, 4.2; 95% CI: -8.4, 18.6; P = 0.52). Finally, the study revealed an association between patterns of neonatal sepsis incidence trends and COVID-19, with a Joinpoint jump model comparability ratio (CR = 0.43) between pre- and COVID-19-impacted periods. Neonatal sepsis was prevalent at Jimma Medical Center, but it was on an unstably declining trend. The current results suggest a potential temporal association between the intensity of COVID-19 containment measures and a change in the incidence trend and patterns of neonatal sepsis. However, the quantified contribution of a particular containment measure requires further investigation.

Sex differences among children, adolescents and young adults for mental health service use within inpatient and outpatient settings, before and during the COVID-19 pandemic: a population-based study in Ontario, Canada

ObjectivesThe pandemic and public health response to contain the virus had impacts on many aspects of young people’s lives including disruptions to daily routines, opportunities for social, academic, recreational engagement...

How COVID-19 pandemic affected fisheries (catch volume and price): A case study in Europe

Portugal, with the highest per capita fish consumption and expenditure in the European Union, provides an excellent case study for examining the effects of COVID-19 containment measures on fishing activity. The present study focused exclusively on data obtained from mainland Portugal, covering the years 2015–2021. The analysis included different time periods: namely, pre-lockdown, during lockdown, and post-lockdown. The primary objective was to investigate and gain insights into the potential effects of lockdown measures on the quantity (catch volume) and price ($/Kg) of different fish species groups. During the lockdown, professional fishermen experienced lower quantities, compared to the average of previous years (2015–2019), in some months (March, April and May), of tuna (−44%: from 85 ton to 47 ton), small pelagic fish (−41.8%: from 4510 ton to 2627 ton), crustaceans (−31.9%: from 94 ton to 64 ton), and bivalves (−33.5%: from 412 ton to 274) being landed. Although prices fluctuated, only crustaceans showed a significant decrease in value (−34.8%: from 14.85$/Kg to 9.68 $/Kg). Groundfish, flatfish, cephalopods, and other marine fish groups did not experience any significant impacts on landing quantities. Although there was some recovery in catch volume and market prices in the post-closure period, indicating a certain level of resilience in the sector, the socio-economic context indirectly exacerbated the profitability challenges faced by the fishing industry due to COVID-19. Given the potential for future socio-economic crises, policymakers (e.g., country government) and stakeholders (e.g., Fishers’ associations, HORECA) should prepare comprehensive and easily implementable measures to strengthen the sector and minimize potential disruptions.