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Objective: To investigate the relationship between negative attentional bias and post-traumatic stress disorder(PTSD) in the context of higher depression and anxiety symptoms after the outbreak of COVID-19, so as to provide scientific basis for mental health education in primary and secondary schools. Methods: From March to April 2021, a total of 708 students from primary school and junior high school (grade 6 through grade 9) in Beijing, Shanxi, Hunan, Shandong, Hebei, Hubei of China were selected. The Children's Revised Impact of Event Scale(CRIES), the Attention to Positive and Negative Information Scale (APNI)and Depression, Anxiety and Stress Scale-21(DASS-21) were used in a questionnaire survey. Results: A total of 242 students were diagnosed with PTSD, and the detection rate was 34.2%. The scores of intrusion and high arousal of boys(7.92+or-5.33, 8.60+or-5.41) were lower than those of girls(8.72+or-4.85, 9.50+or-4.76), and the difference was statistically significant (t=-2.04, -2.32, P < 0.05). There were statistically significant differences of negative attention bias, CRIES score, intrusion, debarb and high arousal among primary and middle school students of different grades (F=3.57, 5.99, 4.45, 4.60, 7.40, P < 0.05). Negative attention bias, anxiety, depression and post-traumatic stress symptoms were significantly positively correlated (r=0.27-0.84, P < 0.05). Logistic regression analysis showed that anxiety (OR=1.13, 95%CI=1.06-1.20) and negative attention bias (OR=1.10, 95%CI=1.07-1.12) were positively associated with PTSD symptoms in primary and middle school students(P < 0.01). Conclusion: Anxiety and depressive symptoms show impacts on negative attention bias and might exacerbate the symptoms of post-traumatic stress disorder. Therefore, emotional adjustments can help reduce the post-traumatic stress response in the post-epidemic period.
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Since the emergence of the Coronavirus disease outbreak, the world has witnessed great changes that have impacted humanity. A study of the pattern of the pandemic would be of great importance to understand the trending behavior for the spreading of the disease within any country. Visualization of the outbreak progression - through accumulated records in the datasets - using statistical tools showed that the initial fast increase rate of the affected cases in the original province in China was followed by a stability period till the end of the reporting date. Hong Kong - which was next to Hubei province in the cases - showed a different surge of slow growth curve with distinct major wave levels. The remaining territories showed a much smaller magnitude of morbidities. However, investigating the similarity levels for the daily kinetics of cases showed a clustering tendency between different political regions suggesting a significant correlation. The technique would be useful for public health authorities work.
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Background & Aims: In early January 2020, a new corona virus called corona was identified as an infectious agent by the World Health Organization and caused a viral pneumonia outbreak, the first of which was reported in Wuhan, China in December 2019. The virus has so far infected most countries in the world and has become a global problem. By this time in December 2021, about 265 million people in the world have been infected with this virus and 5 million 270 thousand people have died from this disease. According to the World Health Organization, the incidence of this disease is still increasing and will become the third leading cause of death in the world by 2030. This disease has a special complexity and has multiple dimensions and consequences that have caused many problems in the field of health, social and economic as well as psychological for people. The emergence of this disease is now a public health crisis. According to this research, exposure to news and restrictions caused by this disease can lead to many mental health problems. In fact, one of the situations that puts a lot of stress on people during the outbreak of covid 19 disease is the inability to predict and uncertainty about the control and end of the disease. Mental health is defined as a harmonious and harmonious behavior with society, recognizing and accepting social realities, the power to adapt to them and meeting one's balanced needs and is an important factor for the health of society. The prevalence of the disease can also increase feelings of loneliness, decrease social support, feelings of fear and anxiety to clinical stress and anxiety, obsessive-compulsive disorder associated with the disease, and decreased life expectancy. One of the hopeful factors is health and the disease can cause despair, fear and even despair of the patient. The outbreak of a disease has a much deeper and wider impact and affects not only the affected community and relatives, but the entire community. Because everyone finds themselves at risk, and therefore people's feel of safe and healthy changes, and this situation causes people to despair. Hope is the capacity to imagine the ability to create paths to desirable goals and to imagine the motivation to move in those paths. Hope predicts physical and mental health such as positive response to medical interventions, mental health, effective getting along, and health-promoting behaviors. Covid 19 disease can also lead to psychological problems due to its infectious nature and unpredictable nature. In this regard, various researchers consider the implementation of public health policies, including areas related to individual and collective mental health in accordance with the different stages of the epidemic of this disease is very necessary. Mindfulness can be an effective tool for achieving peace of mind and body that helps people become aware of their current feelings. Mindfulness-based interventions are considered as one of the third generation or third wave cognitive-behavioral therapies. Mindfulness is a form of meditation rooted in Eastern religious teachings and rituals, especially Buddhism. Segal has defined mindfulness as paying attention to specific and purposeful ways, in the present time, without judgment or prejudice. Linhan stressed for the first time the need to pay attention to mindfulness as one of the essential components of psychological therapy. Mindfulness requires the development of three components: judgment avoidance, purposeful awareness, and focus on the present moment. Focusing on the present and processing all aspects of the above experience makes one aware of the daily activities and automatic functioning of the mind in the past and future world and he controls emotions, thoughts, and physical states through moment-to-moment awareness of thoughts. As a result, it is released from the everyday and automatic mind focused on the past and the future. Although general vaccination has reduced the virus in some countries, including Iran, and reduced the number of infected people, a large num
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Objective: To analyze the distribution and drug resistance of pathogenic bacteria in blood culture specimens of patients with bloodstream infections before and after COVID-19 (2018-2019 and 2020-2021), and to provide scientific basis and reference for rational treatment and effective control of bloodstream infections in the post-epidemic period. Methods: Blood culture specimens were collected from patients in Zhongnan Hospital of Wuhan University in the two years before and after the COVID-19 outbreak (2018-2021). The Automated Blood Culture Systems were used to perform blood culture on blood specimens sent for clinical inspection, and the Vitek MS automatic bacterial identification mass spectrometer was used for strain identification and the Vitek 2 automatic bacterial drug susceptibility analyzer was used for drug susceptibility testing and drug resistance analysis. Results: Blood culture specimens were performed on 28 736 patients with suspected bloodstream infection submitted for inspection from January 2018 to December 2019, and a total of 2 181 strains of pathogenic bacteria were detected after removing duplicate strains, with a positive rate of 7.69%, including 1 046 strains of Gram-negative bacteria, accounting for 47.96%. From January 2020 to December 2021, blood culture specimens from 26 083 patients with suspected bloodstream infection were submitted for inspection, and a total of 2 111 strains of pathogenic bacteria were detected after excluding duplicate strains, with a positive rate of 8.09%, including 1 000 strains of Gram-negative bacteria accounted for 47.37%. The drug resistance of Klebsiella pneumoniae was relatively serious, and the sensitivity rate to ertapenem, polymyxin B and tigecycline was more than 90%. The main non-fermentative bacteria Acinetobacter baumannii was more than 50% sensitive to piperacillin/tazobactam, amikacin and polymyxin B. The sensitivity rates of Pseudomonas aeruginosa to piperacillin/tazobactam, ceftazidime, cefepime, amikacin, gentamicin, tobramycin, ciprofloxacin, levofloxacin, piperacillin and meropenem were more than 50%. Conclusions: In the two years before and after COVID-19, there are many types of pathogenic bacteria in bloodstream infection, but the distribution do not differ significantly. The pathogens of bloodstream infection are mainly distributed in ICU, hepatobiliary research institute, and nephrology department. Among them, Gram-negative bacteria such as Escherichia coli, Klebsiella pneumoniae and Acinetobacter baumannii are the main ones, and different pathogens showed great differences in drug resistance.
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ObjectiveTo analyze the influenza surveillance data in Ezhou City, Hubei Province from 2016 to 2021, determine the epidemiological characteristics and etiological trend of influenza like illness (ILI), and to provide scientific evidence for influenza prevention and control. MethodsThe ILI surveillance data were reported by Ezhou influenza sentinel hospitals and etiological examination results were collected by network laboratory. Influenza surveillance data from 2016 to 2021 were analyzed. ResultsFrom 2016 to 2021, the percentage of ILI visits (ILI%) in Ezhou city was 2.81% and increased over years. Majority (55.55%) of ILI cases were 0-4 years. A total of 7 716 ILI samples were examined from 2016 to 2021, of which 1 467 tested positive with a positive rate of 19.01%. Influenza A H1N1 was mainly concentrated in January-April, A H3N2 mainly in August-December, B Victoria mainly in April-July and December-March, and B Yamagata mainly in December-February. Influenza network laboratory isolated influenza virus from the 1 467 positive samples by using MDCK cells and SPF chicken embryos. The overall isolation rate was 32.78%, which was 26.93% by MDCK cells and 5.86% by SPF chicken embryos. From 2016 to 2021, a total of 13 ILI outbreaks were reported in Ezhou City. Temporally, the outbreaks mainly occurred in winter and spring. Spatially, they were mainly in primary schools, middle schools and kindergartens. ConclusionThe winter and spring are the key time period of influenza prevention and control in Ezhou City, as they are susceptible to influenza outbreaks. Children aged 0-14 are the key population of prevention and control. Diverse subtypes of influenza virus alternate by years, which warrants continually strengthening monitoring. Additionally, certain countermeasures against COVID-19 may be recommended in the prevention and control of influenza.
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Since the discovery of novel coronavirus pneumonia (Covid-19) in Wuhan, China, in December 2019, it has spread to other Chinese provinces and continents in just one month, becoming a "public health emergency of international concern". The undesired behaviors of the public and patients during the Covid-19 epidemic cannot be ignored, but few scholars have studied them. In this study, we firstly adopted a qualitative analysis method based on a theoretical paradigm to to summarize the human factors in the spread of the COVID-19 epidemic, and defined the concept of "human factors of the epidemic". Then, we analyzed the distribution characteristics of "human factors of epidemic" at each stage by using statistical analysis, and constructed a human factors model of epidemic evolution. Finally, a multi-subject risk assessment model was constructed using a fuzzy Bayesian network analysis method to quantify the human factors risk in the spread of the COVID-19 epidemic. The results of the study are as follows. (1) The human factors of the COVID-19 epidemic mainly focused on five aspects, including cognitive bias, defective design, management bias, environmental defects, and intentional violations. (2) There were differences in the human factors at different stages of the spread of the COVID-19 epidemic. In the outbreak stage, human factors of the COVID-19 epidemic showed complex trends, with factors such as lack of knowledge and low awareness still prevailing on the one hand, and factors such as lack of capacity, overtly agree but covertly oppose, dereliction of duty, concealment and misreporting, lack of resources, protection defects, design defects, escape/fleeing, and public gathering on the other hand also being more prominent. (3) The risk of the spread of the COVID-19 epidemic due to undesired human factors in the subjects involved was high (p=0.641) under conventional intervention scenarios. Risk factors such as low awareness, poor decision making, lack of resources, lack of awareness, system deficiencies, public agglomeration, inadequate protection, misreporting, and dereliction of duty had relatively large sensitivity factors and were key human factors for the spread of the epidemic in Wuhan. Finally, targeted recommendations are proposed based on the evolutionary pattern and risk level of the human factors of the COVID-19 epidemic.
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Objective: To investigate the quality of life (QOL) of coronavirus disease 2019(COVID-19) patients in the recovery stage of six months after discharge and to analyze the influence factors. Methods: Based on the COVID-19 case registration system whose establishment was led by Beijing University of Chinese Medicine Third Affiliated Hospital, 117 COVID-19 patients in the recovery stage hospitalized in designated hospitals of COVID-19 in Wuhan, Hubei Province from January 17th to March 17th, 2020 were taken as the research objects and were followed up for six months after discharge. The QOL of patients was investigated with the World Health Organization Quality of Life-BREF (WHOQOL-BREF) face to face. The score of the QOL of patients with different clinical characteristics was analyzed and compared. The relationship between different clinical characteristics and the total score of the QOL of patients was analyzed by Pearson correlation analysis. Statistically significant factors were included in the linear regression analysis and the linear correlation equation of the total score of the QOL was obtained. Results: The total score of the QOL of patients in the WHOQOL-BREF scale was 75.79 +or- 13.80 points, the self-evaluation of the QOL was 3.20 +or- 0.78 points, and the self-evaluation of health condition was 2.60 +or- 0.79 points. The total score of the QOL of female patients, patients with high sequelae grade, and patients with history of smoking was lower than that of male patients, patients with low sequelae grade, and patients without history of smoking. The Pearson correlation analysis showed that the typing of the acute stage of COVID-19, sequelae grade, gender, and history of smoking were related to the total score of the QOL of patients at six months after discharge. The linear regression analysis showed that sequelae grade was linearly correlated with the total score of the QOL of patients at six months after discharge. Linear correlation equation was Y=94.179-9.153X. Conclusions: At six months after discharge, COVID-19 patients in the recovery stage were generally dissatisfied with their QOL and health condition. Their overall QOL was relatively low. It was affected by factors such as gender, BMI, underlying diseases, and history of smoking. And the sequelae symptoms had the most significant impact.
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In order to understand the impact of the COVID-19 pandemic on the entire aquaculture value chain in China and what strategy and measures have been taken to support the stakeholders to address the impact of the pandemic on the sector, the Food and Agriculture Organization (FAO) supported the Freshwater Fisheries Research Centre (FFRC) in carrying out a preliminary investigation. The investigation focused on channel catfish (Ictalurus punctatus) farming in Hubei Province and tilapia farming (Oreochromis spp.) in Guangdong Province. The results indicated a significant difference in the impact of the pandemic on different stakeholders in the two subsectors. The investigation also identified the most significant specific impact of the pandemic on production and operation at different value chain links. The investigation also covered the impact of the pandemic on the livelihood of households engaged in the value chain, which significantly reduced income due to lower payment and business revenue. As an important output of the study, a set of strategies and measures were recommended for supporting the aquaculture sector and stakeholders in the value chain to cope with the pandemic and other similar risks in the future.
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In the Chinese city of Wuhan at the end of 2019, an infection by an unknown virus began, which with subsequent studies was called SARS-CoV-2, causing a pandemic that has generated the largest crisis worldwide in recent years, causing a large number of deaths, with multiple systemic manifestations but which has also had clinical pictures at the skin level;recently there have been reports of people who had COVID-19 infections and later had skin manifestations due to herpes virus as a co-infection;the most frequent were herpes simplex type 1-2, varicella zoster, herpes zoster and herpes virus 6-7, generating even more complications in patients. Although the pathogenesis of this association is not entirely clear, it is believed to be secondary to the state of immunosuppression induced by SARS-CoV-2, being important that health personnel are informed about this entity that increases mortality.
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Background: Coronavirus disease 2019 (COVID-19) has rapidly become a worldwide concern ever since first being reported from Wuhan, China in December 2019. With no known cure, there is widespread fear-provoking interest in studying the factors contributing to mortality. Aim and Objectives: The current study was undertaken with a view to try to understand the cause of morbidity and mortality. Materials and Methods: A retrospective study done in our Institution on COVID-19 patients admitted over a course of 3 months after approval from Institutional Ethics Committee. Results: We had 17 deaths over the period under consideration whereas 73 patients improved (mortality = 19%, n = 90). Most of the patients were in the 41-80 years age group (>70%). No gender preponderance was found with mortality in each being around 20%. A clear correlation between co-morbidities and mortality was found with no person without any comorbidity succumbing to the disease. Respiratory and Heart conditions were found to contribute most to mortality with patients presenting with shortness of breath being most at risk. Similarly, a Neutrophil: Lymphocyte ratio greater than 12 was found to significantly increase the mortality. Conclusion: Patients with comorbidities need to be monitored closely with treatment being directed at improving the respiratory outcome.
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With the COVID-19 outbreak hitting the world, the frequency and severity of port congestion caused by various factors are increasing, challenging the stability of international supply chains. Thus, it is necessary to conduct an in-depth study on congestion risks to reduce their adverse impacts on congestion. Although traditional criticality analysis techniques may be capable of ranking port congestion risk in common scenarios, new risk analysis methods are urgently required to tackle uncertainty along with the COVID-19 pandemic. This paper develops a methodology designed for the identification and prioritization of port congestion risk during the pandemic. First, a novel congestion risk assessment model is established by extending the risk prioritization index (RPI) suggested by failure mode and effects analysis (FMEA). Next, the combination of fuzzy Bayesian reasoning, AHP and the variation coefficient method is incorporated into the model in a complementary way to facilitate the treatment of uncertainty and quantitative analysis of the congestion under the different influence of risk factors in ports. Finally, the mode introduces a set of risk utility values for calculating the RPI for prioritization. A real case study and a sensitivity analysis were carried out to illustrate and validate the proposed model. The results proved that the applied method is feasible and functional. In the illustrative example, the top three risk factors are "Interruption of railways/barges services", "Skilled labor shortage" and "Shortage of truck-drivers/drayage truck". The findings obtained from this paper could provide useful insights for risk prevention and mitigation.
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The outbreak of a novel coronavirus in Wuhan, China, in December 2019 led to a global crisis and a critical threat to the health of millions of people worldwide. Existing research indicates that besides typical respiratory symptoms and signs of COVID-19, gastrointestinal manifestations are also caused by coronavirus disease 2019 (COVID-19) and the main intention of this article is to compare the gastrointestinal disorders seen in patients infected by the virus as well as study the possible and logical mechanisms that may lead to these situations. The high rate of contagion of the virus and the number of current patients reveal the importance of this research and all other studies related to this subject.
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The coronavirus was first discovered in Wuhan, China in 2019. In fact, the corona virus is one of the crises that recently put not only health, but also all aspects of human life (economic, social, cultural) at risk. The tourism sector is one of the economic sectors that has suffered a lot of losses due to the emergence and spread of this virus, and unfortunately. Although the unsolicited Covid-19 has created problems for human societies, but with proper efforts and policies, it can be turned from a threat into an opportunity and provide the basis for long-term prosperity and development in order to create suitable economic conditions. In this regard, the aim of the current research is to provide a safe tourism model to sustain the businesses of the tourism sector in the current situation of the corona virus in the tourist city of Sareen. The studied community was the owners of businesses in the tourism sector in Sareen city. Purposeful snowball sampling was used to select the interviewees. The criterion for determining the sample size was to reach theoretical saturation, which in this research was achieved by examining 56 samples from the mentioned society. Data collection was done through open questionnaire, note-taking, interview and using documents. Data analysis was done using open, selective and central coding. Based on this, the research model was created. The results of this research showed that it is possible to solve the problems related to the prosperity of the tourism industry in the city of Sarein through accurate and appropriate planning and policy making and with full compliance with health guidelines and with the supervision and coordination of the relevant institutions and the use of new technologies of the tourism improve industry in the crisis situation of Corona.
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Objective: To explore the value of liver function indexes on evaluation of the illness condition of coronavirus disease 2019 (COVID-19). Methods: 261 patients with confirmed COVID-19 which collected from Huangshi Hospital of Traditional Chinese Medicine from January to March 2020 were investigated and separated into:group of critical type, group of severe type and group of common type, and the data of the patients about age, gender, past medical history and the results of liver function test were collected. Chi-square test, analysis of variance, univariate and multivariate logistic regression analysis were adopted to explore the relationship between liver function indexes and illness condition of COVID-19. Results: 50.2% of COVID-19 patients had abnormal liver function. Compared with the group of severe type, the levels of serum alanine aminotransferase (ALT), aspartate aminotransferase(AST), alkaline phosphatase (ALP), P-glutamyl transferase (GGT) and total bilirubin (TBIL)in the group of critical type was significantly higher, while the level of albumin(ALB)was significantly lower, and the differences were statistically significant (all P < 0.05);compared with the group of common type, the levels of ALT, +AST, and GGT in the group of severe type were significantly higher, while the level of ALB was significantly lower, and the differences were statistically significant (all P < 0.05). The proportions of patients with abnormal liver function or liver damage in the group of critical type were significantly higher than those in the group of severe type (P < 0.05), and the proportions of patients with abnormal liver function or liver damage in the group of severe type was significantly higher than those in the group of common type (P < 0.05). The incidence ratio of abnormal liver function in patients with underlying disease was higher than that of without underlying disease (P < 0.05). ALT, AST, ALP, TBIL, and ALB were all risk factors for severe progress of COVID-19 disease (all P < 0.05);multivariate logistic regression analysis inidicating that TBIL (OR=10.862, P < 0.05) and ALB (OR=11.733, P < 0.05)were the independent risk factors. TBIL level was positively correlated with the severity of COVID-19 (r=0.367, P < 0.05), and ALB level was negatively correlated with the severity of COVID-19 (r=-0.613, P < 0.05). Conclusions: The abnormal liver function, especially the obvious abnormality of TBIL and ALB, could be used as the reference index of COVID-19 severity. The COVID-19 patients with underlying disease were easily suffered liver injury.
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The role of dietary fiber in highland barley in lowering blood lipids has been continuously studied in recent years. However, its effects on diabetes and diabetic nephropathy are rarely studied. Considering that highland barley bran is rich in dietary fiber, the effective use of dietary fiber in highland barley bran can not only alleviate the symptoms of diabetes but also improve the local economy. This article aimed to study the effects of highland barley fiber-rich powder (T-fiber) with a high-quality natural dietary fiber ratio (insoluble fiber/soluble fiber = 3 : 1) on the symptoms of hyperglycemia in a diabetic mouse model. Compared with the model group's blood glucose level (30.80 mmol/L), glucose tolerance (28.57 mmol/L), and glycosylated serum protein (2.43 mmol/L), T-fiber presented significant reductions in blood glucose (23.69 mmol/L), better glucose tolerance (21.32 mmol/L), and glycosylated serum protein (1.78 mmol/L) in the diabetic mouse model. Meanwhile, T-fiber effectively alleviated hepatocellular lesions. In addition, T-fiber not only improved kidney function by reducing the 24-hour urine output (8.25 ml), urine protein levels (11.51 mg), and serum creatinine (13.80 mol/L) but also alleviated renal pathology, including glomerular hypertrophy, mesangial expansion, and fibrosis. The above results proved the ability of T-fiber to reduce blood glucose and alleviate liver and renal function in diabetic mice. Altogether, T-fiber is a capable formula for utilizing highland barley bran dietary fiber, which alleviates diabetes symptoms and endows highland barley with promising value.
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This study aimed to explore the effect of the Wuhan lockdown on body mass index (BMI) among Wuhan residents as well as factors including food habits affected and changes in physical activity mediating the association. As a survey of the Wuhan lockdown, a random digit dialing method was used to sample residents aged 18 years and older. A computer-aided telephone interview was applied to survey 11,223 residents in Wuhan City in July 2020. Ordinary least squares (OLS) regression and mediation analysis were used to analyze the influence of the Wuhan lockdown on BMI. Demographic characteristics, lifestyle characteristics, and health status differed statistically significantly between residents living in and those who left Wuhan during the lockdown (mean BMI, 23.05 +or- 0.04 kg/m2 and 22.34 +or- 0.06 kg/m2, respectively). The mean BMI among residents living in Wuhan was 0.42 kg/m2 higher (P < 0.001) than that of residents who left Wuhan during the lockdown, as determined by multivariate OLS regression analysis. Residents living in Wuhan during the lockdown had higher BMI among those aged 18-29 and 30-44 years (P < 0.001), with no difference among those aged 45+ years. The association between living in Wuhan and increased BMI was the strongest among residents who were overweight/obese. The mediation analysis results showed an indirect effect path with living in Wuhan (through decreased physical activity and increasing BMI) and the direct effect of living in Wuhan during the lockdown. The lack of association between living in Wuhan and increased BMI among residents aged 45+ years was due to the indirect influence of living in Wuhan affecting food habits. The findings indicated that the lockdown in Wuhan city increased residents' BMI, especially among those who were young or overweight/obese, partly because of decreased physical activity.
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This is a title only record which contains no abstract.
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This study aimed to analyze the effect of sterilization and disinfection procedures at two different levels before entering the residence of medical rescue teams fighting against coronavirus disease 2019(COVID-19) in infection prevention and control. A total of 160 medical team members who came from our hospital to aid Wuhan were taken as study objects. During that period implementing two different procedures, their temperature, health condition, nucleic acid testing results and adverse reports were analyzed. The number of adverse reports was 0 during 10 days when high-intensity disinfection procedures were implemented. Before the simplified procedure put into use, there were 8 cases about psychological acceptance in the first seven days;the simplified procedure was carried out when there was no adverse reports 7 days later. During the isolation period, the body temperature was monitored twice a day, without any abnormality;two nucleic acid testing results were both negative. The simplified process is a more scientific and reasonable disinfection process. Confronted with the prevention and control of the COVID-19, we must maintain a scientific and rational attitude and adopt right and reasonable measures, which is more conducive to security.
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This study aimed to investigate the chest imaging finding of patients with coronavirus disease 2019 (COVID-19) in rehabilitation period. The clinical and imaging data of 80 patients with COVID-19 diagnosed as common type by the First People's Hospital of Xiaogan City, Hubei Province from 21 January 2020 to 23 February 2020 were collected. The discharge standard of the convalescent stage contained body temperature returned to normal over 3 days, significant improvement of respiratory tract symptoms and obviously absorbed inflammation as well as two negative consecutive respiratory tract pathogenic nucleic acid tests showed by the pulmonary imaging. HRCT manifestations of patients were dynamically observed and were compared with those at the time of admission. Typical syndrome and lesion distribution and morphology at convalescence stage were observed. HRCT of COVID-19 patients in convalescent period showed that the absorption of "fly swatter breaking sign" and "water inclusion sign" was decreased, with earlier and more obvious absorption of water inclusion sign. Compared with HRCT at the time of admission, localized patchy ground glass foci in the dorsolateral or posterior basal segments of both lungs, multi segmented ground glass density foci and diffusely distributed ground glass foci in the convalescent stage were obvious, the remaining interlobular interstitial and interlobular septal thickening, subpleural are shadow and irregular fibrous cord shadow foci among some patients were found and no obvious mediastinal lymphadenopathy and pleural effusion were found. The decrease of absorption of "broken fly swatter sign" and "wrapped water pipe sign" is a typical manifestation of the improvement of the general COVID-19 in the rehabilitation period. In the rehabilitation period, the discharged patients often left ground glass like changes, thickening of interlobular septum and/or interlobular septum, subpleural are shadow and residual interstitial inflammation. Only by popularizing HRCT in the clinical follow-up can effectively observe the dynamic changes of residual lesions, reduce the residual lesions and lower the risk of developing interstitial fibrosis.