Hopelessness during and after the COVID-19 pandemic lockdown among Chinese college students: A longitudinal network analysis.

INTRODUCTION: In China, recurrent pandemics require frequent city-wide lockdowns and quarantine actions to contain the impact of COVID-19, exposing college students to psychological problems, including hopelessness. Hence, the purpose of helping problematic college students alleviate hopelessness symptoms motivates us to carry out the present study to explore their interrelationship. METHODS: Hopelessness (i.e., a complex phenomenon with important clinical consequences, such as depression and suicidality) was investigated in a large longitudinal sample of college students (N = 2787; 58.59% female; age mean ± SD = 18.34 ± 0.92) who were recruited during and after the COVID-19 lockdown using the Beck Hopelessness Scale (BHS). RESULTS: Applying the novel approach (i.e., symptom network analysis), the results indicated that the edge of #BHS1 (i.e., [NOT] hope-enthusiasm)-#BHS15 (i.e., [NOT] faith-in-the-future) showed the strongest association both in Wave 1 and Wave 2. Similarly, #BHS20 (i.e., not-trying) had the highest node expectedinfluence (centrality) in the hopelessness symptoms network both among Wave 1 and Wave 2. The Network Comparison Test indicated that the global network strength significantly differed between the two time points. As expected, college students' hopelessness will gradually dissipate with the end of segregation control. The stability and accuracy indicated that the network analysis results were trustworthy. CONCLUSIONS: The study findings provide evidence that central nodes and edges connecting symptoms should be addressed. Further interventions and treatments that may target these symptoms are essential to effectively alleviate the overall hopelessness level among college students. Theoretical and clinical potential consequences were discussed in detail.

A portable, low-cost and high-throughput electrochemical impedance spectroscopy device for point-of-care biomarker detection

This paper presents a portable, fast and accurate electrochemical impedance spectroscopy (EIS) device with 8-well interdigitated electrode chips for biomarker detection. The design adopts low crest factor multisine signal synthesis at low frequencies (<1 kHz) and single-tone signals at high frequencies (>1 kHz), which significantly increases measurement speed without sacrificing accuracy. In addition, the low excitation amplitude of 10 mV preserves impedance linearity and protects the biosamples. The system achieved an average magnitude accuracy error of 0.30% in the frequency range of interest and it requires only 0.46 s to scan 28 frequency points from 10 Hz to 1 MHz. Experiments were conducted to test the capability to detect antibodies against SARS-CoV-2. Gold nanoparticles bound with protein G (GNP-G) were employed as the conjugated secondary antibody probe to detect anti-SARS-CoV-2 IgG in serum. A highly statistical significance (p = 7×10−6) could be found in the impedance data at 10 kHz. The impedance magnitude alteration caused by the GNP-G of the positive and negative groups were 27.2%±13.6% and 4.1%±1.7%, respectively. The results imply that the proposed system enables rapid COVID-19 antibody biomarker detection. Moreover, the EIS system and GNPs have the potential to be modified to detect other biomarkers. © 2022 The Author(s)

Camera-Based Blood Pressure Estimation via Windkessel Model and Waveform Features

Blood pressure (BP) is generally regarded as the vital sign most strongly correlated with human health. However, for decades, BP measurement has involved a cuff, which causes discomfort and even carries a risk of infection, given the current prevalence of COVID-19. Some studies address these problems using remote photoplethysmography (rPPG), which has shown great success in heart rate detection. Nevertheless, these approaches are not robust, and few have been evaluated with a sufficiently large dataset. We propose an rPPG-based BP estimation algorithm that predicts BP by leveraging the Windkessel model and hand-crafted waveform characteristics. A waveform processing procedure is presented for the rPPG signals to obtain a robust waveform template and thus extract BP-related features. Redundant and unstable features are eliminated via Monte Carlo simulation and according to their relationship with latent parameters (LSs) in the Windkessel model. For a comprehensive evaluation, the Chiao Tung BP (CTBP) dataset was constructed. The experiment was conducted over a four-week period of time to evaluate the validity period of the personalization in our system. On all the data, the proposed method outperforms the benchmark algorithms and yields mean absolute errors (MAEs) of 6.48 and 5.06 mmHg for systolic BP (SBP) and diastolic BP (DBP), respectively. The performance achieves a 'B' grade according to the validation protocol from the British Hypertension Society (BHS) for both SBP and DBP. © 1963-2012 IEEE.

Face Masks and Prevention of Respiratory Viral Infections: An Overview

Airborne transmission of respiratory viruses consists of three sequential steps: (1) release of respiratory fluids in the form of droplets from the nose and mouth of an infected person, (2) transport of the droplets through air, and (3) entry of the droplets into the nose and mouth of an uninfected individual. Talking, coughing, and sneezing emit droplets across a spectrum of sizes. The water in exhaled droplets begins to evaporate in air and, as a result, the droplets are reduced in size shortly after being emitted. Face masks are effective for capturing droplets just released from the nose and mouth. Studies indicate that more than 50% of community transmission of SARS-CoV-2 is from asymptomatic and pre-symptomatic cases. Use of face masks by the public can effectively reduce the chance of infected individuals unknowingly spreading the virus. In addition to being an effective device for source control, face masks can protect the wearers from inhaling virus-laden droplets. Cloth masks and disposable masks provide reasonable protection for the public, while surgical masks and N95 respirators give higher levels of protection as needed in healthcare settings. Made with varied materials, these masks have different structural characteristics. The collection efficiency of a face mask depends on droplet size, face velocity, and the structural characteristics of the mask. For a given mask, capturing droplets is more effective during exhalation than during inhalation. Pressure drop across the mask should be taken into consideration when selecting a face mask. The best face mask is the one that gives the highest collection efficiency with the least pressure drop. For an effective protection, a mask should fit the face properly. While face masks have proven adequate in reducing airborne transmission of SARS-CoV-2 infections, continuous improvement is needed to better prepare for future respiratory viral threats. © The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.

Fabric phase sorptive extraction combined with high performance liquid chromatography for the determination of favipiravir in human plasma and breast milk

A fast procedure obtained by the combination of fabric phase extraction (FPSE) with high performance liquid chromatography (HPLC) has been developed and validated for the quantification of favipiravir (FVP) in human plasma and breast milk. A sol-gel polycaprolactone-block-polydimethylsiloxane-block-polycaprolactone (sol-gel PCAP-PDMS-PCAP) coated on 100% cellose cotton fabric was selected as the most efficient membrane for FPSE in human plasma and breast milk samples. HPLC-UV analysis were performed using a RP C18 column under isocratic conditions. Under these optimezed settings, the overall chromatographic analysis time was limited to only 5 min without encountering any observable matrix interferences. Following the method validation procedure, the herein assay shows a linear calibration curve over the range of 0.2–50 µg/mL and 0.5–25 µg/mL for plasma and breast milk, respectively. The method sensitivities in terms of limit of detection (LOD) and limit of quantification (LOQ), validated in both the matrices, have been found to be 0.06 and 0.2 µg/mL for plasma and 0.15 and 0.5 µg/mL for milk, respectively. Intraday and interday precision and trueness, accordingly to the International Guidelines, were validated and were below 3.61% for both the matrices. The herein method was further tested on real samples in order to highlight the applicability and the advantage for therapeutic drug monitoring (TDM) applications. To the best of our knowledge, this is the first validated FPSE-HPLC-UV method in human plasma and breast milk for TDM purposes applied on real samples. The validated method provides fast, simple, cost reduced, and sensitive assay for the direct quantification of favipiravir in real biological matrices, also appliyng a well-known rugged and cheap instrument configuration. © 2022 Elsevier B.V.

Development of respirator design for children using bamboo-based activated carbon filter and bipolar ionization

This paper proposes a respirator for children integrated with bamboo-based activated carbon filters and bipolar ionization as the sterilizer to increase protection from Covid-19 and other pathogens. The respirator, named as Bion-Kids, was designed based on the children's head-and-face anthropometry from direct measurement. The duration of sterilization process is controlled based on the activities, which are classified using the Recurrent Neural Network (RNN) model with dataset acquired from the accelerometer. Manufacturing process of the main body prototype comprises heat bending and 3D printing. The bamboo-based activated carbon filter was synthesized by applying heat and pressure at the strewed activated carbon particles on the N95 filter. Observation using scanning electron microscope showed the ability of the bamboo-based activated carbon filter to adsorb and trap the particles. Result of the qualitative fit test and questionnaire survey indicated that Bion-Kids is suitable and comfortable for the children's face. The result of filtration and bipolar ionization sterilization system analysis have also met the ISO14698 standard by not showing any infiltration of microorganisms on the blood agar media. This device may become an early-stage personal protective equipment against the transmission of Covid-19 and other pathogens. © 2022 THE AUTHORS

THE EFFECT OF E HEALTH ESH APPLICATION ON BP MANAGEMENT PRELIMINARY RESULTS

Objective: Main issues in the treatment of hypertension are the low level of blood pressure (BP) control and the economic burden for health care systems. Mobile application with telemonitoring of BP could contribute to better control and lower costs by reducing office visits. This could be useful nowadays with difficult access to health system due to covid-19. The purpose of this study was to investigate if an innovative management strategy of hypertension, such as the use of ESH care application for smartphones combined with a dedicated platform, could improve hypertension control and replace frequent office visits. Design and method: 30 uncontrolled hypertensive patients, treated or untreated [mean age 53 ± 9 years, mean office BP (OBP) 146.3 ± 6.2 / 92.5 ± 9 mmHg, 53% men, 33% smokers, 23% with hypercholesterolemia] were randomized to the application assisted strategy (AAS) (17 patients), where a mobile phone application was offered to communicate home BP measurements (HBPm), or to regular office visits (13 patients). Patients BP measurements (HBPm for AAS and OBP for standard care group) were evaluated in 1 and 3 months with treatment titration if uncontrolled. In all patients OBP and ambulatory BP measurement (ABPM) were evaluated in 6 months. Results: In both groups the reduction in OBP and ABPM was significant in 6 months. In the AAS group the reduction in systolic/diastolic OBP and 24 h systolic/ diastolic BP in 6 months was -26.5 ± 5.6 / -19.4 ± 8.2 mmHg (p < 0,001) and -19.6 ± 7.7 / -13.8 ± 4.8 mmHg (p < 0.001), respectively. In the standard care group, the reduction in systolic/diastolic OBP and 24 h systolic/diastolic BP in 6 months was -22.6 ± 9.7 / -9.6 ± 11 mmHg (p < 0.005) and -18.4 ± 6.0 / - 8.8 ± 4.4 mmHg (p < 0.001). In AAS group compared to standard care group there was a greater reduction in 24 h diastolic BP (-13.8 ± 4.8 mmHg vs -8.8 ± 4.4 mmHg, p = 0.016) and in diastolic OBP (-19.4 ± 8.2 mmHg vs -9.6 ± 11.0 mmHg, p = 0.04). Conclusions: The present results indicate that the monitoring of patients through a mobile health tool could be useful in hypertension management as it is correlated with better BP control compared to office visits. The trial is still enrolling patients.

COVID-19 Impacts on Border Community Organizations

The COVID-19 pandemic massively affected the nonprofit sector. This article explores how the crisis has impacted nonprofit organizations at a U.S.-Mexico border community with a large population of minorities and migrants. Guided by resource dependency theory and the nonprofit capacity building framework, surveys reveal that nonprofits with less financial support from the government sector, low leadership, and weak operational capacities receive critical impacts from the pandemic. The findings also show that local nonprofits are bonded closely to the community during the pandemic, which reflects the collectivistic culture in Hispanic/Latino communities. This study provides important insights on how local nonprofits with limited resources and an increase in demand from vulnerable populations struggled with the pandemic.

THE EFFECT OF COMMON SURGICAL MASKS ON UNATTENDED BLOOD PRESSURE CHANGES IN DRUG TREATED HYPERTENSIVE PATIENTS

Objective: While there are several studies that have focused on the role of face masks in preventing airborne transmission of SARS-CoV-2, few data are available on their effects on physiological measures, and no study has examined their effects on blood pressure (BP). The purpose of our study was to investigate the effect of surgical masks on BP in drug-treated hypertensive patients who had a routine follow-up visit to a university hospital outpatient hypertension clinic. Design and method: The study included already treated hypertensive patients aged > 18 years, while the exclusion criteria were atrial fibrillation or any other arrhythmia affecting the BP measurement, an arm circumference > 42 cm, mental disorders, Parkinson disease, pregnancy, intolerance to the BP measurement method, or unwillingness to participate. A new surgical mask was provided to all participants to replace the face mask that was already in use. After the routine mask-on office BP measurement, patients were left alone and randomized to automated office BP measurement, with measurements taken after first wearing a mask for 10 min, then without wearing the mask for 10 min, and vice versa. Results: A total number of 265 patients were included in the study. Among the participants, 115 were women (43.4%), the mean age was 62 ± 12 years, and the mean office BP was 134 ± 15 / 81 ± 12 mmHg. There was no significant difference between mask-on unattended systolic BP (133 ± 15 mmHg) and mask-off unattended systolic BP (132 ± 15 mmHg) (P = 0.13) or between mask-on unattended diastolic BP (77 ± 13 mmHg) and mask-off unattended diastolic BP (76 ± 13 mmHg) (P = 0.32). Moreover, there was no difference in the heart rate (mask-on first, 69 ± 11 bpm;mask-off first, 69 ± 11 bpm, P = 0.7). Conclusions: Common surgical masks do not affect systolic/diastolic BP levels during unattended BP measurements in treated hypertensive patients.

Machine Learning Literacy for Measurement Professionals: A Practical Tutorial

The COVID-19 pandemic has accelerated the digitalization of assessment, creating new challenges for measurement professionals, including big data management, test security, and analyzing new validity evidence. In response to these challenges, Machine Learning (ML) emerges as an increasingly important skill in the toolbox of measurement professionals in this new era. However, most ML tutorials are technical and conceptual-focused. Therefore, this tutorial aims to provide a practical introduction to ML in the context of educational measurement. We also supplement our tutorial with several examples of supervised and unsupervised ML techniques applied to marking a short-answer question. Python codes are available on GitHub. In the end, common misconceptions about ML are discussed. © 2023 by the National Council on Measurement in Education.

Posttraumatic Stress Disorder Checklist for Dsm-5 (Pcl-5). Latent Structure Analysis and Measurement Invariance in a Sample of Italian Health Workers during the Covid-19 Pandemic

The COVID-19 pandemic poses a significant threat to health workers (HW) in terms of posttraumatic stress symptoms (PTSS) and disorder (PTSD). Over the years, alternative PTSD structures have been proposed (DSM-5, Dysphoria, Dysphoric Arousal, Anhedonia, Externalizing Behaviors, Hybrid) and tested. To date, no studies have addressed this issue focusing on HW during the COVID-19 pandemic. This study investigated the fit of alternative PTSD structures in two Italian samples: HW during the COVID-19 pandemic, and university students in a pre-pandemic context. A total of 580 HW and 451 students completed the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) assessing PTSS. Confirmatory factor analysis investigated the best PTSD structure in each sample;measurement invariance was also inspected. The Anhedonia structure performed best in both samples;this model showed configural, metric, variances and covariances invariance. Results pave the way to the use of the PCL-5 to tailor intervention supporting HW during the pandemic.

POSTAL MEDICINE DELIVERY FOR STAGE-2 HYPERTENSIVE PATIENTS IN COVID-19 SITUATION: TURNING CRISIS TO OPPORTUNITY

Introduction: The COVID-19 pandemic has influenced healthcare systems, particularly in the areas of non-communicable diseases, such as hypertension, where the majority of patients require medication therapy and frequent visits. The postal medicine delivery (PMD) approach was an innovative solution to keep antihypertensive drugs accessible under the social distance regulation. Objective: We aimed to investigate the effectiveness of the PMD in terms of blood pressure (BP) control (< 140/90 mmHg), and target organ damage (TOD) including myocardial infarction, heart failure, acute stroke, and progression of chronic kidney disease) during the use of PMD. Design and method: This was a cross-sectional study in a university hospital, conducted between 11th March to 27th May 2020 when the hospital policy stated that outpatient departments' service would be reduced, and physicians were encouraged to use PMD. Patients without a history of TOD and who had a history of well BP control (< 140/90 mmHg) for the last 2 weeks, were enrolled. All of the patients used smartphones and LINE® applications for contacting the nurse coordinator every 3 months to report their home BP. After 6 months of PMD, patients were assigned to have a follow-up visit at the hospital for office BP measurement and having metabolic panel checked. Results: Thirty-eight patients met the inclusion criteria, and 68% were women. Most of the patients (97.4%) had used home BP monitoring (HPBM). The rate of BP control in goal was 64.2%. There was no TOD during the PMD approach. The medication boxes were sent successfully via postal service within 5-10 days, with no loss or damage recorded. All of the patients reported that they had been taking their antihypertensive medications. More than two-thirds (68.4%) continued to follow a low-sodium diet, while 76.3 percent continued to exercise regularly. Conclusions: In the COVID-19 epidemic, the PMD method could be another effective and safe strategy to enhance medicine access, if suitable enrolment criteria and communication between healthcare practitioners and patients are maintained. (Figure Presented).

Air curtain as a SARS-CoV-2 spreading mitigation method in a small aircraft cabin

This paper discusses an application of air curtain for reduction of virus-laden droplets transmission from an infected host to other passengers in a small aircraft cabin. The study is restricted to respiratory droplets emitted during coughing. Discrete Particle Method introduced for violent respiratory events (VRE) captured in detail the movement of coughing puff inside the cabin and allowed to study the interaction of droplets with the air curtain's stream and the surrounding air. The results show that the application of the air curtain inhibits the transmission process of small droplets (diameters ranging from 10 to 40 mu m). The air curtain supplied with a limited air mass flow cannot alter the multiphase puff dynamics, but it can be utilized to deflect the virus droplets with lower momentum away from the neighboring passenger. Improved removal efficiency of virus-laden droplets has been achieved owing to the application of the air curtain together with supplementary suction surfaces introduced on the front seat backrest. The virus (SARS-CoV-2) transmission process was also analyzed by means of mass concentration of CO2 exhaled by the infected host, used as a contamination tracker. This part of the work aims at assessment of an applicability of CO2 tracer gas in analysis of virus transmission. Results show that CO2 tracer gas can only be employed for the study of small size droplets dispersion (diameter less or equal to 40 mu m).

Computational design and experimental analysis of a novel visor for COVID-19 patients receiving high-flow nasal oxygen therapy

The Covid-19 global pandemic has reshaped the requirements of healthcare sectors worldwide. Following the exposure risks associated with Covid-19, this paper aims to design, optimise, and validate a wearable medical device that reduces the risk of transmission of contagious droplets from infected patients in a hospital setting. This study specifically focuses on those receiving high-flow nasal oxygen therapy. The design process consisted of optimising the geometry of the visor to ensure that the maximum possible percentage of harmful droplets exhaled by the patient can be successfully captured by a vacuum tube attached to the visor. This has been completed by deriving a number of concept designs and assessing their effectiveness, based on numerical analysis, computational fluid dynamics (CFD) simulations and experimental testing. The CFD results are validated using various experimental methods such as Schlieren imaging, particle measurement testing and laser sheet visualisation. Droplet capturing efficiency of the visor was measured through CFD and validated through experimental particle measurement testing. The results presented a 5% deviation between CFD and experimental results. Also, the modifications based on the validated CFD results improved the visor effectiveness by 47% and 38% for breathing and coughing events, respectively © 2022 The Author(s)

Urban green spaces management during the COVID-19 pandemic: Experiences from Kraków, Poland

SARS-CoV-2 (COVID-19) has spread all over the world, significantly affecting our everyday lives. People changed their habits during the pandemic and made use of urban green spaces (UGS). Our Web of Science and Scopus queries confirm a knowledge gap in green space planning and public space management studies in the field of UGS availability during COVID-19. Therefore, the purpose of our research was to determine the impact of the COVID-19 pandemic on urban green spaces management, identify the needs of the residents in terms of urban green spaces furniture, and assess the accessibility of urban green spaces to propose recommendations for the institution charged with managing urban green spaces in the City (Krakow). To this end, we used an expert interview, spatial analyses, and survey research among residents of Kraków, one of the largest cities in Poland. The survey involved 1350 respondents. The spatial analyses employed geoprocessing algorithms and GIS tools. The results showed that 96% of Kraków citizens have access to urban green spaces within 300 m from their homes. Therefore, UGS are an important part of the City's identity, making their reasonable management vital, especially during crises. The respondents indicated that the existing UGS needed more lighting, rubbish bins, and benches as places of respite. Results of the expert interview showed that the COVID-19 pandemic has affected urban green spaces management. The results may influence urban green spaces management, and the research is an innovative combination of spatial analysis, a qualitative approach (expert interview), and a quantitative method (a survey) proposing new procedures for analysing UGS. © 2022 John Wiley & Sons Ltd.

Nearly five-year continuous atmospheric measurements of black carbon over a suburban area in central France

Atmospheric black carbon (BC) concentration over a nearly 5 year period (mid-2017–2021) was continuously monitored over a suburban area of Orléans city (France). Annual mean atmospheric BC concentration were 0.75 ± 0.65, 0.58 ± 0.44, 0.54 ± 0.64, 0.48 ± 0.46 and 0.50 ± 0.72 μg m−3, respectively, for the year of 2017, 2018, 2019, 2020 and 2021. Seasonal pattern was also observed with maximum concentration (0.70 ± 0.18 μg m−3) in winter and minimum concentration (0.38 ± 0.04 μg m−3) in summer. We found a different diurnal pattern between cold (winter and fall) and warm (spring and summer) seasons. Further, fossil fuel burning contributed >90 % of atmospheric BC in the summer and biomass burning had a contribution equivalent to that of the fossil fuel in the winter. Significant week days effect on BC concentrations was observed, indicating the important role of local emissions such as car exhaust in BC level at this site. The behavior of atmospheric BC level with COVID-19 lockdown was also analyzed. We found that during the lockdown in warm season (first lockdown: 27 March–10 May 2020 and third lockdown 17 March–3 May 2021) BC concentration were lower than in cold season (second lockdown: 29 October–15 December 2020), which could be mainly related to the BC emission from biomass burning for heating. This study provides a long-term BC measurement database input for air quality and climate models. The analysis of especially weekend and lockdown effect showed implications on future policymaking toward improving local and regional air quality as well. © 2022 Elsevier B.V.

Satellite-based estimates of daily NO2 exposure in urban agglomerations of China and application to spatio-temporal characteristics of hotspots

The analysis of the daily spatial patterns of near-surface Nitrogen dioxide (NO2) concentrations can assist decision makers mitigate this common air pollutant in urban areas. However, comparative analysis of NO2 estimates in different urban agglomerations of China is limited. In this study, a new linear mixed effect model (LME) with multi-source spatiotemporal data is proposed to estimate daily NO2 concentrations at high accuracy based on the land-use regression (LUR) model and Ozone Monitoring Instrument (OMI) and TROPOspheric Monitoring Instrument (TROPOMI) products. In addition, three models for NO2 concentration estimation were evaluated and compared in four Chinese urban agglomerations from 2018 to 2020, including the COVID-19 closed management period. Each model included a unique combination of methods and satellite NO2 products: ModelⅠ: LUR model with OMI products;Model Ⅱ: LUR model with TropOMI products;Model Ⅱ: LME model with TropOMI products. The results show that the LME model outperformed the LUR model in all four urban agglomerations as the average RMSE decreased by 16.09% due to the consideration of atmospheric dispersion random effects, and using TropOMI instead of OMI products can improve the accuracy. Based on our NO2 estimations, pollution hotspots were identified, and pollution anomalies during the COVID-19 period were explored for two periods;the lockdown and revenge pollution periods. The largest NO2 pollution difference between the hotspot and non-hotspot areas occurred in the second period, especially in the heavy industrial urban agglomerations. © 2022 Elsevier Ltd

Assessing data from summary questions about earnings and income

In short surveys, or in surveys that prioritise other content domains, earnings and income are often elicited using small sets of summary questions. This contrasts with the detailed questions recommended for surveys that focus on earnings and income, that ask source by source. We evaluate earnings and income data collected with summary questions in a series of recent web-surveys: the Understanding Society COVID-19 Study. The fact that many COVID-19 Study respondents also contemporaneously answered the main annual Understanding Society survey provides individual- and household-level validation data. We find that measures of household earnings and income in the COVID-19 Study are noisier than those from the main annual Understanding Society survey, and that there is evidence of systematic under-reporting for household totals. However, for most measures and samples, we find that measurement errors in the COVID-19 Study are substantively uncorrelated with true values. We conclude that the COVID-19 Study collected valuable data on earnings and income, and more broadly, that summary questions on earnings or income can be a useful data collection tool. © 2023 The Author(s)

The regional economic impact of the 2020 COVID-19 recession in the USA

Purpose: This paper to identify those states that suffered the largest job losses, largest GDP declines and the highest unemployment rates and those states whose employment levels, unemployment rates and GDP declines were smallest during the COVID-19 recession. In addition, this paper endeavors to provide at least preliminary insights into why some states faired so poorly, whereas other states suffered so little during this downturn. Design/methodology/approach: This paper uses descriptive statistics and regression analysis to analyze the differences in state performance during the COVID-19 recession and recovery. Findings: The results from the two estimated regression models suggest that where you lived determined the severity of the recession and living in a blue state negatively impacted the strength of state's unemployment rate recovery. Research limitations/implications: This paper looks at only a two-year period starting with the COVID-19 recession and ending in December 2021. Practical implications: This paper provides a regional assessment of the COVID-19 recession and recovery on both a state and regional level. Social implications: The paper uses descriptive statistics to characterize the substantial state-level differences in the relative magnitude of economic decline due to the Covid-19 recession. Regression analysis reveals that blue states experienced weaker recovery as compared to red states. Originality/value: The study uses publicly available data to identify states that suffered the largest job losses and highest peak unemployment rates during the Covid-19 recession. The results are among the first to analyze the economic impact of the Covid-19 recession at the state level. © 2022, Emerald Group Publishing Limited.