Does COVID-19 vaccination protect against pulmonary embolism?

The prevalence of venous thromboembolism (VTE) in COVID-19 patients is highly variable, depending on methodological and clinical factors, among which vaccination (1). The hypothesis of a possible protective role of vaccination in preventing pulmonary embolism (PE) in hospitalized COVID-19 patients has not been explored. The aim of the study was to evaluate PE prevalence in vaccinated versus unvaccinated hospitalized COVID-19 patients. We conducted a retrospective case-control study from 2021/11/01 to 2022/01/15; we reviewed all the chest computed topographies (chest-CT) performed because of a clinical suspicion for PE at our Institution. Sixty-two patients were included in the study: 27/62 (43.5%) were vaccinated and 35/62 (56.4%) were not. Vaccinated patients were older and with more comorbidities than unvaccinated people. Overall, PE was diagnosed in 19/62 patients (30.1% prevalence). CT Severity Score (CT-SS) differs between the two groups; not vaccinated patients had a more severe CT imaging than the vaccinated (< 0.00005). PE prevalence in ICU was 43.2% (16/37 patients), while in the Internal Medicine ward, it was 12% (3/25 cases). PE was significantly higher among unvaccinated people: 16/35 (45.7%) vs 3/27 (11.1%), OR p = 0.04. We observed a strong association between vaccination and protection from PE in hospitalized COVID-19 patients: morbidity was significantly lower in vaccinated versus not vaccinated patients. The issue of the protective role of vaccination in COVID-19-associated VTE should be addressed in adequately designed and powered future prospective studies.

The Willingness to get Vaccinated Against SARS-CoV-2 Virus among Southeast Asian Countries: Does the Vaccine Brand Matter?

The current study uses data surveyed with 2,500 respondents during August and September 2021 in Vietnam, Indonesia, the Philippines and Malaysia to examine the willingness to get vaccinated against SARS-CoV-2 virus with six COVID-19 vaccines. The willingness to get vaccinated varies according to the vaccine brands and selected influential factors. Particularly, the percentage of respondents who are willing to get vaccinated with Pfizer, Moderna and AstraZeneca dominates that of those who are willing to get vaccinated with Sinopharm, Janssen and Sputnik V vaccines. Results generated from the binary logistic regressions show that the impact of the selected influential factors on the willingness to get vaccinated varies in terms of magnitude and direction, and depending on the vaccine brands. The results indicate that additional scientific evidence on the efficacy and safety of the vaccines is essential for the respondents to decide whether to vaccinate or not. Such evidence can be made available in multiple formats and provided through appropriate channels and vaccination communication campaigns.

Characterization of COVID-19 Hospitalized Adult Patients, Vaccinated vs Non-vaccinated in Duhok Province

Objectives: First, to determine prevalence of vaccinated COVID-19 patients among hospitalized patients;second, to determine the epidemiological, clinical, and laboratory characteristics of vaccinated and unvaccinated COVID-19 patients.Methods: The study was carried out on 300 adult COVID-19 hospitalized patients at Duhok COVID-19 health facilities. A prospective cross-sectional study was used as the study design. Between October 1, 2021, and March 31, 2022, all patients with PCR-confirmed COVID-19 were enrolled.Results: The majority of people in this study were unvaccinated. Pfizer was most popular among people who had received vaccination. The majority of hospitalized patients were old ages, the mean age was 60.73 +/- 15.83 yr. In our study, the unvaccinated females had higher infection rates while vaccinated males had higher hospital admission rates. In our study, vaccinated patients had shorter hospital duration stays. In both vaccinated and unvaccinated patients, predominated cases were severe cases. D dimer was significantly higher among vaccinated patients. The mortality rate was relatively high among both groups. Patients who had received vaccinations tended to experience vomiting and flu-like symptoms more frequently than those who had not. In terms of comorbidities, smoking and malignancy were significant risk factors for COVID-19 infection in unvaccinated patients.Conclusion: We looked at 300 COVID-19 hospitalized patients. In this study, the majority of people were unvaccinated. Pfizer, had higher prevalence among vaccinated individuals. Majority were elderly. The unvaccinated cases had a higher rate of female hospital admissions than male. The D.Dimer level was significantly different between the two groups. Vomiting and flu-like illness showed higher prevalence in vaccinated cases with significant difference. Smoking and malignancy were significant risk factors for COVID-19 infection in unvaccinated patients. In the fight against a public health disaster like a COVID-19 pandemic, the availability of a COVID-19 vaccines campaign are crucial.

Association between COVID Vaccination and Disease Severity among Hospitalized Patients in a Tertiary Care Hospital: A Cross-Sectional Study

Introduction: The ongoing COVID-19 pandemic and its unprecedented global societal and economic disruptive impact, highlight the urgent need for the development of safe, effective, affordable, and deployable vaccines against COVID-19. Among the several vaccines approved by the World Health Organization, BBV-152 (COVAXIN) and AZD1222 (COVISHIELD) are approved in India. As on 1-Apr-2021, around 9 million people were fully vaccinated and around 59 million had received one dose of vaccine in India. Hence, this study was aimed to study the association between disease severity and disease progression from mild to moderate/severity. Methodology: This cross-sectional study was conducted in a private medical college at Tamil Nadu between April 2021 to May 2021 (one month period). The study included 100 participants who were aged more than 45 years admitted for COVID infection. Disease severity was assessed as per the guidelines issued by Ministry of Health and Family Welfare, and the patient vaccination status was ascertained based on the patient's testimony (also corroborated with a vaccine certificate). Result(s): The gender ratio observed was 1.6:1. The mean age at presentation was 59 years for mild disease, 60 years for moderate disease and 61 years for severe disease. The prevalence of moderate disease was 65% among non-vaccinated, and 15% among vaccinated individuals. The prevalence of severe disease was 25% among non-vaccinated individuals, and 5% among vaccinated individuals. Conclusion(s): Vaccination provides significant protection against moderate and severe COVID-19 disease.Copyright © 2023, Dr Yashwant Research Labs Pvt Ltd. All rights reserved.

Investigating the effect of vaccinated population on the COVID-19 prediction using FA and ABC-based feed-forward neural networks.

Since 2019, the coronavirus outbreak has caused many catastrophic events all over the world. At the current time, the massive vaccination has been considered as the most efficient way to fight against the pandemic. This study schemes to explain and model COVID-19 cases by considering the vaccination rate. We utilized an amalgamation of neural network (NN) with two powerful optimization algorithms, i.e., firefly algorithm and artificial bee colony. For validating the models, we employed the COVID-19 datasets regarding the vaccination rate and the total confirmed cases for 51 states since the beginning of vaccination in the US. The numerical experiment indicated that by considering the vaccinated population, the accuracy of NN increases exponentially when compared with the same NN in the absence of the vaccinated population. During the next stage, the NN with vaccinated input data is elected for firefly and bee optimizing. Based upon the firefly optimizing, 93.75% of COVID-19 cases can be explained in all states. According to the bee optimizing, 92.3% of COVID-19 cases is explained since the massive vaccination. Overall, it can be concluded that the massive vaccination is the key predictor of COVID-19 cases on a grand scale.

[Quality analysis of a combined domestic vaccine for the prevention of measles, rubella and mumps].

INTRODUCTION: The need to maintain a high level of vaccination coverage against measles, rubella and mumps in conditions of an increased risk of outbreaks of infections due to violations of vaccination tactics associated with the pandemic of coronavirus infection and due to the unfavorable epidemic situation in neighboring countries determines the advisability of using a combined vaccine for the simultaneous prevention of these three socially significant infections. THE AIM OF THE STUDY: to analyze the quality of commercial series of a new domestic combined cultured live vaccine against measles, rubella and mumps (MRM) throughout the entire time of its manufacturing according to all specification indicators in regulatory documentation (RD). MATERIALS AND METHODS: The object of the study was the combined cultured live vaccine against measles, rubella and mumps. The analysis of the quality of the drug was carried out according to 86 consolidated production protocols of manufactured series, as well as according to the results of control of these series in the Testing Center for Quality Expertise of the Federal State Budgetary Institution NCESMP of the Ministry of Health of the Russian Federation. RESULTS: It is shown that the quality of the combined drug for the prevention of measles, rubella and mumps corresponds to the RD in all studied indicators. The drug does not contain an antibiotic. Bovine serum albumin, which is a technological impurity, is detected in quantities more than 5 times lower than the established norm. A comparison of the specific activity of the viral components of new combined domestic vaccine and the components of the bivalent vaccine against measles and mumps produced by the company in 20192021 showed that the spread of the activity values of the viral components in the new drug and in the series of mumps-measles vaccine was minimal, which allowed us to make a conclusion about the stability of the production technology. CONCLUSION: The quality of the new domestic combined vaccine for the prevention of measles, rubella and mumps meets WHO requirements. The results of the conducted studies indicate the stability of production and the standard quality of the drug. The use of a combined vaccine against three significant infections will ensure the necessary level of vaccination coverage in the population. Information about the results of studies can help reduce the number of vaccination refusal.

Understanding the travel decision-making processes of COVID-19-vaccinated South Korean travelers.

During the COVID-19 pandemic, many countries allowed only the vaccinated to travel abroad, and some still continue with these restrictions. This study aimed to determine the factors associated with the intention to travel abroad during this pandemic. An online survey was conducted with 270 vaccinated Korean participants. The theoretical framework of the extended goal-directed behavior model was used to predict the overseas travel intentions of tourists in the COVID-19 environment. The data were examined using frequency analysis, confirmatory factor analysis, correlation analysis, and path analysis using CB-SEM. The results show, first, that attitude, expected positive emotions, and expected negative emotions are positively correlated with desire. Second, desire and prior knowledge are positively correlated with behavioral intentions. Thus, attitude toward COVID-19 and expected emotions significantly influenced desire, and prior knowledge influenced travelers' behavioral intentions during the pandemic. The findings suggest that travelers' attitudes and emotions during the pandemic reflect their desire to travel abroad and to do so with prior knowledge. Therefore, to help potential overseas tourists meet their basic needs for personal quarantine security during travel, travel industry staff should provide personalized security services. Airlines and the tourism industry should continue to provide hand sanitizers and personal hygiene products at airports and tourist attractions to make the travel experience relatively safer for tourists. In addition, the tourism industry should introduce a campaign on safe quarantine and health to give a positive impression to potential tourists, planning their next trip. The study identifies changing travel trends, provides a foundation for safe travel experiences, and can help develop policies to improve future international travel.

Investigation of admission serum creatinine as a predictor of hospital length of stay in triple-vaccinated COVID-19 inpatients.

BACKGROUND: This study assessed the association between admission kidney function and the duration of hospitalization in triple-vaccinated coronavirus disease 2019 (COVID-19) inpatients during the omicron surge in Larissa, central Greece. METHODS: Regression analysis was used to estimate the effect of kidney function biomarkers on hospital length of stay (LoS) within a dataset from a cohort of 51 subjects. RESULTS: Sex- and age-adjusted admission serum creatinine was associated with hospital LoS (p=0.034). CONCLUSIONS: Serum creatinine concentration on admission should be further evaluated as a possible clinical predictor of hospital LoS among triple-vaccinated COVID-19 inpatients both at the country and global level.

COVID-19 Vaccination: Willingness and practice in Bangladesh.

Motivation: Mass adult immunization for COVID-19, coupled with the urgency, is a challenge for any lower-middle-income country (LMIC) like Bangladesh. Our analysis focuses on demand-side constraints early in the vaccination campaign to help gauge vaccine acceptability and potential contributing factors. Identifying registration and compliance challenges early on will help ensure a seamless immunization programme. Purpose: We seek to identify subgroups who may need specific interventions by comparing willingness to be vaccinated and registration behaviour, and to understand how actual registration and take-up decisions compare between rural and urban slum regions. Approach and Methods: We use data from three surveys conducted between late January and early September 2021. The article includes a nationally representative survey on vaccine acceptability and a study on vaccination rollout behaviour in rural and urban slums. Findings: Willingness was not an issue in Bangladesh, but the weak link was getting individuals to register. Once they did, compliance was very high. When the information gap regarding registration was addressed by campaigning, registration and take-up increased. Confidence in public service delivery influenced favourable responses to mass immunization efforts. Women were falling behind initially in terms of both registration knowledge and completion. Online registration needed to be complemented with alternatives. Social networking was a vital source of information and encouragement. Policy implications: Communication strategies are necessary to inform the public at an early stage, which should provide information about registration eligibility and detailed registration instructions. Ensuring and sustaining service quality will also be beneficial. In LMICs like Bangladesh, low-tech intensive registration methods are required. Information campaigns about the registration procedure should specifically target rural communities and women. Community-based mechanisms may reduce transaction costs and increase confidence.

Do parents vaccinated against COVID-19 protect their children from hospitalization due to COVID-19?

OBJECTIVE: This study aimed to determine whether parental vaccination against coronavirus disease 2019 (COVID-19) prevents hospitalization of COVID-19-infected children. METHODS: This study was based on data obtained from the records of pediatric patients that were followed up for virologically proven COVID-19 infection between August and October 2021, during which time the delta variant was dominant in Turkey and the children were isolating at home. RESULTS: There were 151 patients in the inpatient group and 218 in the outpatient group; the mean age was 172.5 and 145.5 months in the groups, respectively. The rates of obesity (22.5% and 6.4%, respectively, p < 0.001) and neurological-neurodevelopmental disorders (8.6% and 1.4%, respectively, p < 0.001) were significantly higher in the inpatient group than in the outpatient group. Of the outpatients' parents, 67.4% (n = 147) were fully vaccinated vs. 38.4% (n = 58) in the inpatient group. In all, 39.7% (n = 60) of the inpatients' parents were unvaccinated vs. 18.3% (n = 40) in the outpatient group. There was a significant correlation between the vaccination status and the patient groups (p < 0.001); it was determined that the COVID-19 infection would be mild in children if both parents were fully vaccinated. When both parents were fully vaccinated against COVID-19, the hospitalization rate decreased and the outpatient follow-up rate increased. CONCLUSION: Having both parents fully vaccinated against COVID-19 can indirectly protect their subsequently infected children from hospitalization and the long-term effects of infection. Nonetheless, more comprehensive research on delta and non-delta variants is needed.

Compartmental mathematical modelling of dynamic transmission of COVID-19 in Rwanda.

Objectives: Mathematical modelling is of interest to study the dynamics of coronavirus disease 2019 (COVID-19), and models such as SEIR (Susceptible-Exposed-Infected-Recovered) have been considered. This article describes the development of a compartmental transmission network model - Susceptible-Exposed-Quarantine-Infectious-Infectious, undetected-Infectious, home-based care-Hospitalized-Vaccinated-Recovered-Dead - to simulate the dynamics of COVID-19 in order to account for specific measures put into place by the Government of Rwanda to prevent further spread of the disease. Methods: The compartments of this model are connected by parameters, some of which are known from the literature, and others are estimated from available data using the least squares method. For the stability of the model, equilibrium points were determined and the basic reproduction number R 0 was studied; R 0 is an indicator for contagiousness. Results: The model showed that secondary infections are generated from the exposed group, the asymptomatic group, the infected (symptomatic) group, the infected (undetected) group, the infected (home-based care) group and the hospitalized group. The formulated model was reliable and fit the data. Furthermore, the estimated R 0 of 2.16 shows that COVID-19 will persist without the application of control measures. Conclusions: This article presents results regarding predicted spread of COVID-19 in Rwanda.

Simulating and Modeling the Vaccination of Covid-19 Pandemic Using SIRModel - SVIRD

Over the past decade, the emergence of new infectious diseases in the world has become a serious problem requiring special attention. These days the COVID-19 epidemic is affecting not only the health sector but also the economy. Therefore, it is of great importance to build models that appropriately derive and preside over the spread of the epidemic to improve the control of epidemics. As well as to adopt appropriate strategies to avoid or at least mitigate its spread faster, different modeling methods have been proposed to build epidemiological models, we find the use of an agent-based model which makes it possible to reproduce the real behavior of the daily course of individuals already seen in the previous article [1], However this article presents in the same context stimulates the spread of covid using stochastic SIR model (Susceptible - Infected - Recovered) and its extension SVIRD (Susceptible - Vaccinated - Infected - Recovered - Death) which takes into consideration the vaccination parameter. Results: For a sample of 50 citizens network, we used a combination of simulations for the 4 parameters in SVIRD model, The result of the simulation shows that: The more connected a population is, the higher vaccination rates need to be to effectively protect the population. Also, the relationship between vaccination and infection rates looks more like an exponential decay and infection rates scale linearly with death rates for very low and very high numbers of connections.

Case series in Indonesia: B.1.617.2 (delta) variant of SARS-CoV-2 infection after a second dose of vaccine.

BACKGROUND: The B.1.617.2 (delta) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first discovered in Maharashtra in late 2020 and has rapidly expanded across India and worldwide. It took only 2 mo for this variant to spread in Indonesia, making the country the new epicenter of the delta variant as of July 2021. Despite efforts made by accelerating massive rollouts of current vaccines to protect against infection, cases of fully-vaccinated people infected with the delta variant have been reported. AIM: To describe the demographic statistics and clinical presentation of the delta variant infection after the second dose of vaccine in Indonesia. METHODS: A retrospective, single-centre case series of the general consecutive population that worked or studied at Faculty of Medicine, Universitas Indonesia with confirmed Delta Variant Infection after a second dose of vaccine from 24 June and 25 June 2021. Cases were collected retrospectively based on a combination of author recall, reverse transcription-polymerase chain reaction (RT-PCR), and whole genome sequencing results from the Clinical Microbiology Laboratory, Faculty of Medicine, Universitas Indonesia. RESULTS: Between 24 June and 25 June 2021, 15 subjects were confirmed with the B.1.617.2 (delta) variant infection after a second dose of the vaccine. Fourteen subjects were vaccinated with CoronaVac (Sinovac) and one subject with ChAdOx1 nCoV-19 (Oxford-AstraZeneca). All of the subjects remained in home isolation, with fever being the most common symptom at the onset of illness (n = 10, 66.67%). The mean duration of symptoms was 7.73 d (± 5.444). The mean time that elapsed from the first positive swab to a negative RT-PCR test for SARS-CoV-2 was 17.93 d (± 6.3464). The median time that elapsed from the second dose of vaccine to the first positive swab was 87 d (interquartile range: 86-128). CONCLUSION: Although this case shows that after two doses of vaccine, subjects are still susceptible to the delta variant infection, currently available vaccines remain the most effective protection. They reduce clinical manifestations of COVID-19, decrease recovery time from the first positive swab to negative swab, and lower the probability of hospitalization and mortality rate compared to unvaccinated individuals.

Breakthrough Infections: Clinical Profile and Outcomes of COVID-19 Vaccinated and Unvaccinated People From a Tertiary Care Hospital.

Introduction Despite the availability of a vaccine and extensive vaccination, breakthrough infections are commonly noted, which is jeopardizing the vaccine-based protection against COVID-19. The present study aims to evaluate COVID-19 breakthrough infections and to compare the clinical profile and outcomes of the vaccinated and unvaccinated populations.  Methods A retrospective observational study was conducted for two months (March-April 2021), and all cases reported during the study period were included in the study. Socio-demographic details, COVID-19 profiles, clinical outcomes, vaccination statuses, and types of vaccine were collected from the patients. Further, COVID-19-positive samples were screened for lineages using next-generation sequencing (NGS). Results Of the total 103 patients included in the study, 79 (76.7%) were symptomatic and 24 (23.3%) were asymptomatic. Only 32% were vaccinated and 68% were unvaccinated. 29.2% were hospitalized due to COVID-19 and all of them were unvaccinated. The mortality among hospitalized patients was extremely high (60%). The time to positivity after complete vaccination was noted to be 37.09±23.74 days. The unvaccinated study participants showed lower Cycle threshold (Ct) values (E Gene/N Gene: 17.38±4.53) as compared to the vaccinated people (E Gene/N Gene: 22±4.25). The Delta (B. 1.1. 629) (76.7%) was the predominant variant among the study population followed by AY.4 (20.4%) and Kappa (2.9%) variants. Conclusion Although the vaccination does not restrict/avoid infection, it appears to protect the vaccinated people from severe forms of COVID-19. Also, the higher Ct values among vaccinated people indicate that the viral load among such people may be lower and, therefore, minimizes viral transmission.

Impact of Post-Covid-19 on driver behaviour: A perspective towards pandemic-sustained transportation.

Introduction: With the announcement of novel Coronavirus disease 2019 (Covid-19) as a pandemic by World Health Organization (WHO) in March 2020, the whole world went into a lockdown that heavily affected human economic and social life. Since December 2020, with the discovery of effective vaccines, the world is now returning to some normality, particularly for those who are vaccinated. The multimodal transportation has resumed with majority of vaccinated drivers being back on road, driving to their work, and providing transport services. However, there are still several long-term Post-Covid-19 factors, affecting driver health and psychology. Methods: The study deployed a systematic search strategy and selected 62 research publications after rigorous evaluation of the literature. The review was based on (1) forming the inclusion and exclusion criteria, (2) selecting the appropriate keywords, and (3) searching of relevant publications and assessing the eligible articles. Results: A broad perspective study is carried out to gauge the impact of Post-Covid-19 scenarios on the driver physical health and mindset in the context of road safety and pandemic-sustained transportation. It was found that the Post-Covid-19 factors such as wearing face-mask during driving, taking oral anti-viral drugs, and fear of contracting disease, significantly impact the driver's performance and situation awareness skills. The analysis suggested that driver's health vitals and psychological driving awareness can be precisely detected through hybrid driver state monitoring methods. Conclusions: The paper conducts a comprehensive review of the published work and provides unique research opportunities to counteract the challenges involved in precise monitoring of driver behaviour under the effects of different Post-Covid-19 factors. The perspective suggested the possible solutions to live with the pandemic in the context of pandemic-sustained transportation.

Covid-19 Vaccine Acceptance, Intention to Participate and its Associated Adverse Events Happening among the Vaccinated Population of Lahore, Pakistan

Background: This cross-sectional study being instrumented by a close ended questionnaire was conducted to evaluate society's affirmation for being jabbed with COVID-19 vaccine, their acquisition towards immunization and associated anomalies in vaccinated people. According to the recent update from WHO, the glob is facing 5th wave of pandemic "Omicron". However, the problem is that vaccines were in trials. Majority of people were demonstrating reluctance for being immunization against COVID-19 due prevailing oddities after vaccination. Aim(s): To measure the possible adverse effects caused by the vaccination and society's participation towards immunization. Methodology: In this study we adapted cross sectional study design by means of convenience sampling. Study instrument was a close ended questionnaire. Data was collected from only vaccinated participants by visiting universities, medical personnel, colleges and other society sectors under the supervision of team members. Data transferred to software SPSS to extract the results. Cross tabulation was used for demographic analysis such as age, gender and vaccine type jabbed. Result(s): The most common adverse effects include inflammation at site of injection, fever, nausea and vomiting, diarrhea, abdominal pain, joint pain and numbness of limbs were highlighted. Mostly jabbed vaccine types include Sinopharm and Sinovac. Majority of respondents showed willingness for immunization however, only a small proportion was afraid for being vaccinated. The significance in our study that we have conducted study for acceptance of vaccine, intention of participants towards immunization and adverse events associated with different types of COVID-19 vaccines in vaccinated population residing in different towns of Lahore, Pakistan. Conclusion(s): In our local population, majority accepted the vaccine and didn't deny to administer the vaccine. Pain, redness, lethargy, nausea, vomiting, diarrhea, abdominal pain, numbness and arthritis were noted to be the most common side effects of COVID-19 vaccine. Copyright © 2022 Lahore Medical And Dental College. All rights reserved.

Prediction of Corona Anxiety based on Personality Characteristics in Vaccinated People at the Vaccination Center of the Prophet's (PBUH) Vaccination Complex

Purpose: The purpose of this research is to predict personality traits in vaccinated people at the vaccination center. Method: The method of the present research is quantitative and has been implemented in a descriptive-correlational way, and it is practical in terms of the purpose of this research. The study population of this research is all the people who visited the vaccination center of the Prophet's complex in the fall of 1400, of which 400 people were vaccinated and who received the second dose individually. Simple random and based on the values calculated by G power software were selected as samples. Personality tests were taken from the subject. The data were analyzed using the statistical method of multivariate covariance analysis. The results show that certain personality traits are predicted. Path coefficient of neuroticism (P<0.001, 0=0.419), extroversion (P=0.002, 0=0.160) on the display of positive and significant effects and positivity (P<0.001, 0=-0.23) and pleasantness (p<0.001, 0=-0.332) have significant and negative effects on health. Also, the path coefficient of the effect of responsibility has no significant effect on risk (P=0.464, 0=0.036).

Undiagnosed Long COVID-19 in China Among Non-vaccinated Individuals: Identifying Persistent Symptoms and Impacts on Patients' Health-Related Quality of Life.

Is Long COVID-19 under-diagnosed? The definition of this new condition has received many contributions, and it is still under development as a great variety of symptoms have been associated to it. This study explores the possibility that there are non-diagnosed cases among individuals who have been infected by SARS-CoV-2 and have not been vaccinated. The long-term symptoms identified among a sample 255 individuals have been associated to Long COVID-19 by recent literature. The study relates these symptoms to risk factors and health-related quality of life (HRQoL) negative impacts. The individuals were screened 1 year after discharge to explore its potential relation to Long COVID-19. Patients diagnosed with COVID-19 and discharged from designated hospitals in a Chinese province between January and April 2020 were included in this study. They received computed tomography (CT) scans one month after discharge. One year after discharge, patients were invited to physical examination and interviewed with questionnaire on health-related quality of life (HRQoL) and post-COVID-19 symptoms. Tobit regression and Logistic regression were applied to evaluate the risk factors for health utility value and pain/discomfort and anxiety/depression. One year after discharge, 39.61% patients complained of several of the symptoms associated to Long COVID-19. More than half had abnormal chest CT. Previous studies focused on the post-COVID-19 symptoms and chest CT findings of patients, but few studies have assessed the COVID-19-associated risk factors for health-related quality of life.