Occurrence Of COVID-19 Research Articles

한국과 중국의 감염병 재난관리 정책 정보에 관한 비교

As the risk from infectious disease disasters is increasing due to climate change and globalization, this study sought to derive policy implications by reviewing the infectious disease disaster management systems of Korea and China and comparing two countries' policies over time in the COVID-19. This study conducted a comprehensive review of infectious disease disaster-related laws, organization, and management systems. It categorized the period from the occurrence of COVID-19 to the present into 'occurrence & inflow phase', 'control & management phase', and 'adaptation & mitigation phase’, comparing policies and comfirmed cases number. As a result of the comparison, the overall strictness was higher in China, and there were differences in the degree of policy stance of the two countries depending on the phase. As policy implications, suggested the establishment of crisis management system through learning from past infectious disease, finding an appropriate balance between disease prevention and individual rights, strengthening public medical infrastructure, and enhancing public awareness and education on infectious diseases.

Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization

It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous research studies have left a knowledge gap in the relationships between contextual SDoH and COVID-19 outcomes. In this study, we linked 199 contextual SDoH factors covering 11 domains of social and built environments with electronic health records (EHRs) from a large clinical research network (CRN) in the National Patient-Centered Clinical Research Network (PCORnet) to explore the relation between contextual SDoH and COVID-19 occurrence and hospitalization. We identified 15,890 COVID-19 patients and 63,560 matched non-COVID-19 patients in Florida between January 2020 and May 2021. We adopted a two-phase multiple linear regression approach modified from that in the exposome-wide association (ExWAS) study. After removing the highly correlated SDoH variables, 86 contextual SDoH variables were included in the data analysis. Adjusting for race, ethnicity, and comorbidities, we found six contextual SDoH variables (i.e., hospital available beds and utilization, percent of vacant property, number of golf courses, and percent of minority) related to the occurrence of COVID-19, and three variables (i.e., farmers market, low access, and religion) related to the hospitalization of COVID-19. To our best knowledge, this is the first study to explore the relationship between contextual SDoH and COVID-19 occurrence and hospitalization using EHRs in a major PCORnet CRN. As an exploratory study, the causal effect of SDoH on COVID-19 outcomes will be evaluated in future studies.

Incidence and Severity of COVID-19 in Relation to Anti-Receptor-Binding Domain IgG Antibody Level after COVID-19 Vaccination in Kidney Transplant Recipients.

Kidney transplant recipients (KTRs) elicit an impaired immune response after COVID-19 vaccination; however, the exact clinical impact remains unclear. We therefore analyse the relationship between antibody levels after vaccination and the risk of COVID-19 in a large cohort of KTRs. All KTRs living in the Netherlands were invited to send a blood sample 28 days after their second COVID-19 vaccination for measurement of their IgG antibodies against the receptor-binding domain of the SARS-CoV-2 spike protein (anti-RBD IgG). Information on COVID-19 was collected from the moment the blood sample was obtained until 6 months thereafter. Multivariable Cox and logistic regression analyses were performed to analyse which factors affected the occurrence and severity (i.e., hospitalization and/or death) of COVID-19. In total, 12,159 KTRs were approached, of whom 2885 were included in the analyses. Among those, 1578 (54.7%) became seropositive (i.e., anti-RBD IgG level >50 BAU/mL). Seropositivity was associated with a lower risk for COVID-19, also after adjusting for multiple confounders, including socio-economic status and adherence to COVID-19 restrictions (HR 0.37 (0.19-0.47), p = 0.005). When studied on a continuous scale, we observed a log-linear relationship between antibody level and the risk for COVID-19 (HR 0.52 (0.31-0.89), p = 0.02). Similar results were found for COVID-19 severity. In conclusion, antibody level after COVID-19 vaccination is associated in a log-linear manner with the occurrence and severity of COVID-19 in KTRs. This implies that if future vaccinations are indicated, the aim should be to reach for as high an antibody level as possible and not only seropositivity to protect this vulnerable patient group from disease.

Socioeconomic and Health Determinants of the Prevalence of COVID-19 in a Population of Children with Respiratory Diseases and Symptoms.

Most epidemiological studies indicate that bronchial asthma is not a risk factor for COVID-19, but previous analyses have not additionally focused on the socioeconomic determinants of SARS-CoV-2 infection in children with asthma, bronchitis, and respiratory symptoms. This research aimed to investigate the correlation between the socioeconomic status of families and the prevalence of respiratory conditions such as asthma, bronchitis, and respiratory symptoms in children, in addition to exploring their association with the prevalence of COVID-19. The study involved a cross-sectional epidemiological investigation conducted in 2022, encompassing 2454 students from elementary schools in Poland. The parents of the students completed a questionnaire modeled after the International Study on Asthma and Allergies in Childhood (ISAAC). Socioeconomic status (SES) indicators were determined based on parental education, self-reported economic status, and housing conditions. To assess the impact of social factors and health on the occurrence of COVID-19, odds ratios (ORs) were calculated. The findings revealed several COVID-19 risk factors, including higher maternal (OR 2.2; 95%CI: 1.3-3.0) and paternal education (OR 1.9; 95%CI: 1.3-2.4), urban residence (OR 1.7; 95%CI: 1.3-2.1), the presence of mold in residences (OR 1.7; 95%CI: 1.0-2.3), bronchitis (OR 1.5; 95%CI: 1.2-2.0), and chronic cough (OR 1.8; 95%CI: 1.3-2.4). Further analysis, stratifying children based on their baseline health status (i.e., presence or absence of asthma, bronchitis, and chronic cough), indicated that higher parental education increased the risk of COVID-19 solely for children without pre-existing conditions. The occurrence of SARS-CoV-2 infections was found to be notably associated with mold exposure in children who did not have bronchial asthma. Rigorous multivariate analyses substantiated the collective impact of factors such as residential environment, the existence of mold and moisture, and a history of bronchitis. This study's conclusions highlight a higher frequency of SARS-CoV-2 infections in cases where bronchitis had been diagnosed previously and chronic cough was prevalent. Interestingly, the initially hypothesized higher prevalence of COVID-19 among children with bronchial asthma did not receive confirmation in our findings. This study highlights the importance of urban residence, exposure to mold or dampness, and higher parental education in the incidence of COVID-19. Higher parental education was a significant factor in increasing the risk of COVID-19 among children without bronchitis, chronic cough, and asthma.

The Impact of Using Online Learning Software During the Covid-19 Pandemic in Higher Education

The occurrence of covid-19 has a major effect on the smooth running of education, one of which is in higher education. So that lecturers and students need supporting media in the smooth learning process, such as the use of software. The use of software can make it easier for students to carry out the online learning process. This study aims to reveal the effect of using software on students in carrying out the distance learning process. In conducting this research, researchers used quantitative research methods with observations made in the form of distributing questionnaires to students to see the effect of software as a supporting medium in the learning process. The results of this study are that learning media using software is very helpful and has a good impact on students in the learning process during the covid-19 pandemic. The conclusion of this study is that fluency in the world of education during the co-19 pandemic is very limited, because students cannot integrate directly with lecturers in the learning process, therefore students and lecturers need media that can be used as supporting tools such as software for the smooth discussion and learning process, teaching in higher education. The limitation in this study is that researchers did not get accurate data in data collection. Therefore, it is hoped that future researchers will also conduct the same research in order to maintain relevant data results in analyzing the use of software in the learning process in higher education. This study also recommends that future researchers make this topic an ongoing discussion to obtain relevant and very effective research results so that this research can become a benchmark in the influence of using software as a learning medium during the covid-19 pandemic, so as to create a learning process based on supporting science and technology.

Cutaneous Leishmaniasis Hampers COVID-19: A Controlled Cross-Sectional Study in High-Burden Endemic Areas of Iran.

Emerging infectious diseases such as SARS-CoV-2 can cause pandemics and create a critical risk for humans. In a previous pilot study, we reported that the immunological responses induced bycutaneous leishmaniasis (CL) could decrease the incidence and severity of COVID-19. In this large-scale case-control study, we assessed the possible relationship between mortality and morbidity of COVID-19 in healed CL persons suffering scars compared to cases without CL history. This controlled cross-sectional study was conducted between July 2020 and December 2022 in the endemic and high-burden areas of CL in southeastern Iran. In the study, 1400 previous CL cases with scars and 1,521,329 subjects who had no previous CL were analyzed. We used R 4.0.2 to analyze the data. Firth's bias reduction approach corresponding to the penalization of likelihood logistic regression by Jeffreys was also employed to influence the variables in the dataset. Also, a Bayesian ordinal logistic regression model was performed to explore the COVID-19 severity in both case and referent groups. The occurrence and severity rate of COVID-19 in CL scar cases are significantly less than in the non-CL control group, while in the CL scar subjects, patients with critical conditions and mortality were not observed. The morbidity (OR = 0.11, CI 0.06-0.20 and P < 0.001) and severity of COVID-19 in previous cases with CL scars were significantly diminished than that in the control group (credible interval - 2.57, - 1.62). The results represented a durable negative relationship between cured CL and COVID-19 incidence and severity. Additional studies seem necessary and should be designed to further validate the true impact and underlying mechanistic action of CL on COVID-19.

Occurrence of COVID-19 and serum per- and polyfluoroalkyl substances: A case-control study among workers with a wide range of exposures

Per- and polyfluoroalkyl substances (PFAS) are a broad class of synthetic chemicals; some are present in most humans in developed countries. Some studies suggest that certain PFAS may have immunotoxic effects in humans, which could put individuals with high levels of exposure at increased risk for infectious diseases such as COVID-19. We conducted a case-control study to examine the association between COVID-19 diagnosis and PFAS serum concentrations among employees and retirees from two 3 M facilities, one of which historically generated perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), and perfluorohexane sulfonic acid (PFHxS). Participants completed enrollment and follow-up study visits in the Spring of 2021. Participants were categorized as cases if they reported a COVID-19 diagnosis or became sick with at least one symptom of COVID-19 when someone else in their household was diagnosed, otherwise they were categorized as a control. COVID-19 diagnosis was modeled in relation to concentration of serum PFAS measured at enrollment after adjusting for covariates. The analytic sample comprised 573 individuals, 111 cases (19.4%) and 462 controls (80.6%). In adjusted models, the odds ratio of COVID-19 was 0.94 per interquartile range (14.3 ng/mL) increase in PFOS (95% confidence interval 0.85, 1.04). Results for PFOA, PFHxS, and perfluorononanoic acid (PFNA) were similar. Other PFAS present at lower concentrations were examined as categorical variables (above the limit of quantification [LOQ], yes vs. no [referent category]), and also showed no positive associations. In our study, which used individual-level data and included people with high occupational exposure, the serum concentrations of all PFAS examined were not associated with an increased odds ratio for COVID-19. At this point, the epidemiologic data supporting no association of COVID-19 occurrence with PFAS exposure are stronger than those suggesting a positive association.

Investigating SARS-CoV-2 Virus in Environmental Surface, Water, Wastewater and Air: A Systematic Review

Background: The occurrence of COVID-19 as a public health emergency of international alarm was declared by the World Health Organization (WHO) on January 30, 2020. The identified transmission path is due to direct close contact or via respirational droplets. There is uncertainty about other ways, such as transmission of surfaces, air, and other sources. This study follows the preferred reporting items for systematic reviews and meta-analysis guidelines to investigate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus in environmental surfaces, water, wastewater, and air. Materials and Methods: In this study, we performed a systematic literature search in PubMed (MEDLINE), Scopus, and Web of Science (ISI) databases in August 2022. The investigation on electronic databases resulted in a total of 2049 articles. A total of 249 potentially relevant were identified for full-text evaluation. Meanwhile, 30 articles were included in the synthesis. Results: According to four included studies, negative detection of SARS-CoV-2 transmission in water is established. A laboratory study has shown that viable SARS-CoV-2 could be found in aerosols for about 3 h. Also, the virus can be found on dry surfaces, depending on the material of the surface, for 8 to 72 h. Our results showed it is possible to exciting SARS-CoVs in air, environmental surface, and wastewater. Conclusion: These results can help healthy policymakers make suitable assessments of main prevention measures.

Criticality and Reflections of Intercultural Communication Education during Post-pandemic Era in China

The occurrence of Covid-19 as both a Black Swan and Grey Rhino has taken a toll on international education and intercultural communication. Notwithstanding that the post-pandemic period has officially arrived, the phenomenon of ethnocentrism and right-ring populism has grown exponentially during pandemic, exacerbating the detrimental effects on intercultural communication, which are consistent during post-pandemic period. Hence, it is necessary to rethink intercultural communication education, research and training with criticality and reflections. This article examines the practice of intercultural communication education, research and training in China and explore possible countermeasures to cope with those issues.

Unveiling the occurrence of COVID-19 in a diverse Bangladeshi population during the pandemic.

COVID-19 pandemic hit Bangladesh with relatively low intensity, unlike its neighbors India and European countries and USA. The present report included data of 8,480 individuals tested for COVID-19 RT-PCR of the workers and officials from readymade garments (RMG) industry in Chandra area in Gazipur. The present data looked into the clinic-demographic factors associated with the susceptibility of the condition. The data elucidated the susceptibility of the individuals to SARS-CoV-2 based on age, gender, pre-existing health conditions, and the presence of symptoms. It was observed that individuals aged over 60 had the highest rate of COVID-19 positivity, and men exhibited a higher infection rate compared to women. Regardless of age, fever and cough were the most frequently reported symptoms. Two-thirds of the individuals included in this report appeared to be asymptomatic carriers. The prevalence of comorbidities among individuals who tested positive for COVID-19 was notably higher, and this exhibited a gender-specific pattern. Although our study provides important epidemiological insights into the initial year of the pandemic among Bangladeshi populations, it can also add value for future drug and vaccine development. However, it is essential to acknowledge the limitations like - restriction of public movement, unavailability of vehicle yielding a selection bias, due to the lockdown conditions imposed owing to the pandemic and the diverse characteristics of the participants. The report emphasizes the significance of figuring out how age, gender, and underlying health conditions impact susceptibility to and transmission of COVID-19, thereby providing valuable insights for public health strategies and future research initiatives.

COVID-19 occurrence and symptoms depending on vaccination status: a retrospective single-centre analysis of 27,209 patients

COVID-19 occurrence and symptoms depending on vaccination status: a retrospective single-centre analysis of 27,209 patients

The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach.

In light of developing and industrialized nations, the G20 economies account for a whopping two-thirds of the world's population and are the largest economies globally. Public emergencies have occasionally arisen due to the rapid spread of COVID-19 globally, impacting many people's lives, especially in G20 countries. Thus, this study is written to investigate the impact of the COVID-19 pandemic on stock market performance in G20 countries. This study uses daily stock market data of G20 countries from January 1, 2019 to June 30, 2020. The stock market data were divided into G7 countries and non-G7 countries. The data were analyzed using Long Short-Term Memory with a Recurrent Neural Network (LSTM-RNN) approach. The result indicated a gap between the actual stock market index and a forecasted time series that would have happened without COVID-19. Owing to movement restrictions, this study found that stock markets in six countries, including Argentina, China, South Africa, Turkey, Saudi Arabia, and the United States, are affected negatively. Besides that, movement restrictions in the G7 countries, excluding the United States, and the non-G20 countries, excluding Argentina, China, South Africa, Turkey, and Saudi, significantly impact the stock market performance. Generally, LSTM prediction estimates relative terms, except for stock market performance in the United Kingdom, the Republic of Korea, South Africa, and Spain. The stock market performance in the United Kingdom and Spain countries has significantly reduced during and after the occurrence of COVID-19. It indicates that the COVID-19 pandemic considerably influenced the stock markets of 14 G20 countries, whereas less severely impacting 6 remaining countries. In conclusion, our empirical evidence showed that the pandemic had restricted effects on the stock market performance in G20 countries.

Machine Learning Predictive Modeling for the Identification of Moderate Coronavirus Disease 2019 During the Pandemic: A Retrospective Study.

Timely differentiation of moderateCOVID-19cases from mild cases is beneficial for early treatment and saves medical resources during the pandemic. We attempted to construct a model to predict the occurrence of moderate COVID-19 through a retrospective study. In this retrospective study, clinical data from patients with COVID-19 admitted to Hainan Western Central Hospital in Danzhou, China, between August 1, 2022, and August 31, 2022, was collected, including sex, age, signs on admission, comorbidities, imaging data, post-admission treatment, length of stay, and the results of laboratory tests on admission. The patients were classified into a mild-to-moderate-type group according to WHO guidance. Factors that differed between groups were included in machine learning models such as Bernoulli Naïve Bayes (BNB), linear discriminant analysis, support vector machine (SVM), least absolute shrinkage and selection operator (LASSO), and logistic regression (LR) models. These models were compared to select the optimal model with the best predictive efficacy for moderate COVID-19. The predictive performance of the models was assessed using the area under the curve (AUC), sensitivity, specificity, and calibration plot. A total of 231 patients with COVID-19 were included in this retrospective analysis. Among them, 152 (68.83%) were mild types, 72 (31.17%) were moderate types, and there were no patients with severe or critical types. A logistic regression model combined with age, respiratory rate (RR), lactate dehydrogenase (LDH), D-dimer, and albumin was selected to predict the occurrence of moderate COVID-19. The receiver operating characteristic curve (ROC) showed that AUC, sensitivity, and specificity in the model were 0.719, 0.681, and 0.635, respectively, in predicting moderate COVID-19. Calibration curve analysis revealed that the predicted probability of the model was in good agreement with the true probability. Stratified analysis showed better predictive efficacy after modeling for people aged ≤66 years (AUC = 0.7656) and a better calibration curve. The LR model, combined with age, RR, D-dimer, LDH, and albumin, can predict the occurrence of moderate COVID-19 well, especially for patients aged ≤66 years.

Seroprotection of Measles, Rubella, Pertussis and its Relation with Occurrence of COVID-19 among a Cohort of University Female Students

Background:: Antibody titres against several infections are hypothesized to be protective against COVID-19 due to cross-immunity. The study intends to assess the relationship between historical data on measles, rubella, pertussis antibody titres and the occurrence of self-reported COVID-19. Methods:: The study was conducted as an online cross-sectional survey which was compared with historical data of antibody titers. The university female students who had participated in our previous study evaluating seroprevalence of measles, rubella and pertussis antibody titres were contacted online for the survey. The online questionnaire was sent to collect details on COVID-19 occurrence among all the participants. The measles, rubella and pertussis titers of all participants were correlated with the present questionnaire data. All volunteers participated in the survey after online informed consent. Results:: Among the 52 responders to the questionnaire, 18 participants had been reported to be suffering from COVID-related symptoms and 12 were reported to have confirmed RT-PCR positive for COVID-19. The unpaired “t” test comparing antibody titres of measles, rubella and pertussis between COVID-19 RT PCR positive and RT PCR negative subjects did not show statistical significance. Conclusion:: There was no statistical difference between antibody titers of measles, rubella and pertussis among self-reported COVID-19 RT PCR positive and RT PCR negative university female students.

Protective Efficacy of Novel Engineered Human ACE2-Fc Fusion Protein Against Pan-SARS-CoV-2 Infection In Vitro and in Vivo.

Enduring occurrence of severe COVID-19 for unvaccinated, aged, or immunocompromised individuals remains an urgent need. Soluble human angiotensin-converting enzyme 2 (ACE2) has been used as a decoy receptor to inhibit SARS-CoV-2 infection, which is limited by moderate affinity. We describe an engineered, high-affinity ACE2 that is consistently effective in tissue cultures in neutralizing all strains tested, including Delta and Omicron. We also found that treatment of AC70 hACE2 transgenic mice with hACE2-Fc receptor decoys effectively reduced viral infection, attenuated tissue histopathology, and delayed the onset of morbidity and mortality caused by SARS-CoV-2 infection. We believe that using this ACE2-Fc protein would be less likely to promote the escape mutants of SARS-CoV-2 as frequently as did those neutralizing antibody therapies. Together, our results emphasize the suitability of our newly engineered hACE2-Fc fusion protein for further development as a potent antiviral agent against Pan-SARS-CoV-2 infection.

Occurrence of Covid-19 in Children Who Have Received Live-Attenuated Dengue Vaccination

Occurrence of Covid-19 in Children Who Have Received Live-Attenuated Dengue Vaccination

Cases, deaths and lethality due to COVID-19: analysis of social and assistance data from the Brazilian Northeast

Objective: To analyze the impact of the coverage of Primary Health Care, Human Development Index and Bolsa Família on the occurrence of cases, deaths and lethality due to COVID-19 in the Brazilian Northeast. Method: Descriptive, cross-sectional study, with data extracted from the state platforms for COVID-19, the Health Information System for Primary Care and the Institute for Applied Economic Research. Spearman and Kruskal-Wallis correlation tests were used. Results: It was found that 483,793 confirmed cases of COVID-19 and 19,307 deaths from this condition were reported in the Brazilian Northeast. Regarding the occurrence of COVID-19, the State of Ceará had the highest rate of cases (1200.83/100,000 inhabitants). It was observed that the greater the coverage of FHS, the greater the number of confirmed cases (r=0.855 and p-value=0.002) and deaths (r=0.818 and p-value=0.004) due to COVID-19. Conclusion: The Family Health Strategy is an organizational model of Primary Health Care powerful to cope with the pandemic, based on prevention, tracking among the most vulnerable groups, identification and notification of cases and deaths due to COVID-19.

AB013. Occurrence and severity of COVID-19 in patients affected by thymic epithelial tumors with or without Good’s syndrome: a single centre experience

AB013. Occurrence and severity of COVID-19 in patients affected by thymic epithelial tumors with or without Good’s syndrome: a single centre experience

Morbidity trend and space-time clusters of COVID-19 occurrence in children and adolescents

ObjectiveTo analyze the morbidity trend and space-time distribution clusters of confirmed COVID-19 cases in children and adolescents. MethodAn ecological study of COVID-19 cases confirmed in the Information System from 2020 to 2022 in the age group from 0 to 19 years old, residents in Mato Grosso municipalities, Brazilian Midwest region. A trend analysis of the monthly morbidity rate of cases/100,000 inhabitants was used, following Prais-Winsten's regression. A space-time distribution of the Bayesian incidence rate per 100,000 inhabitants was performed, in addition to a space-time scan to identify high-risk clusters. ResultsOf all 79,592 COVID-19 cases studied, 51.6% were in females and 44.21% in people aged 15–19 years old. The mean monthly rate was 265.87 cases per 100,000 inhabitants, with a stationary trend in the period analyzed (Monthly Percentage Variation [MPV]) = 12.15; CI95%[MPV]: -0.73;26.70). The morbidity rate due to COVID-19 was higher in the female gender (283.14/100,000 inhabitants) and in the age group from 15 to 19 years old (485.90/100,000 inhabitants). An increasing trend was observed with a greater monthly time variation of 14.42% (CI95%[MPV]: 1.28;29.28)] among those aged from 10 to 14 years old. The primary cluster, which was also the one with the highest Relative Risk (RR = 5,16, p-value = 0.001), included 19 municipalities located in the North health macro-region. ConclusionThe findings indicated a monthly stationary trend in the study population, an increase in the age group from 10 to 14 years old, and areas at a higher risk for the disease in the North health macro-region of the state.

Quantitative autonomic testing after recovery from acute COVID-19 infection: comparison with findings in controls and individuals with neurogenic autonomic dysfunction

Abstract Background/Introduction Cardiovascular autonomic dysfunction (CvAD) is believed to contribute to the persistence of troublesome symptoms following apparent recovery from an acute COVID-19 infection. Common complaints in this setting include cognitive impairment (‘brain fog’), fatigue, and both postural and exertional intolerance with a sensation of excessive rapid heart beating. However, while the occurrence of CvAD post-acute COVID-19 has been widely recognized, its quantitative assessment remains largely unexplored. Purpose The purpose of this study was to determine whether quantitative cardiovascular autonomic testing in post-acute COVID-19 patients differ from findings in Controls and are more similar to individuals with Neurogenic CvAD, such as those with Pure Autonomic Failure. Methods Quantitative autonomic testing was prospectively undertaken in two patient groups: post-acute COVID-19 and Neurogenic CvAD patients, and in control subjects. Acute COVID-19 was documented by the nasopharyngeal PCR method and all affected patients had recovered at least 1 week prior to their autonomic study. Neurogenic CvAD patients were studied as part of their diagnostic evaluation, and none had a COVID-19 infection prior to their study. Measurements included i) heart rate (HR) and blood pressure (BP) responses during active standing (AS), ii) time to BP nadir and time to BP recovery during AS, iii) Valsalva ratio (VR), and iv) respiratory sinus arrhythmia (RSA). The unpaired student t-test and Mann Whitney U test were used to analyze normally and non-normally distributed data, respectively, between post-acute COVID patients and the Control and Neurogenic CvAD patients. All variables were continuous and presented as means with corresponding standard deviations (SD) when normally distributed or interquartile ranges (IQR) when non-normally distributed. A p-value of &amp;lt;0.05 was considered statistically significant. Results Post-acute COVID-19 patients (N=55, 83.6% female) and Controls (N=82, 86.6% female) were of similar age (39 [IQR 27.3, 49.2] vs. 33 [IQR 21.4, 40.0] years, respectively, p=0.034). Neurogenic CvAD patients (N=27, 51.9% female) were older (68 [IQR 62.9, 74.3], p&amp;lt;0.00001). The main findings (Table 1, mean [SD]) indicate that post-acute COVID-19 patients exhibited HR and BP responses during AS similar to the Control group; on the other hand, average VR, maximum systolic BP drop during AS, and maximum HR increase during AS in COVID-19 patients trended towards findings in Neurogenic CvAD patients. Conclusion Recovered post-acute COVID-19 patients referred for autonomic dysfunction evaluation due to persisting symptoms exhibit autonomic testing findings similar to control subjects but trending towards observations in neurogenic CvAD.