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1.
Journal of Geographical Sciences ; 31(7):1039-1058, 2021.
Article in English | Scopus | ID: covidwho-2075516

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic continues to threaten lives and the economy around the world. Estimating the risk of COVID-19 can help in predicting spreading trends, identifying risk areas, and making public health decisions. In this study, we proposed a comparative risk assessment method to estimate comprehensive and dynamic COVID-19 risks by considering the pandemic severity and the healthcare system pressure and then employing the z-order curve and fractal theory. We took the COVID-19 cases from January 19–March 10, 2020 in China as our research object. The results and analysis revealed that (1) the proposed method demonstrated its feasibility to assess and illustrate pandemic risk;(2) the temporal patterns of the daily relative risk indices of 31 provinces were clustered into four groups (high-value, fluctuating-increase, inverted U-shaped, and low-stable);(3) the spatial distribution of the relative pandemic risk indicated a significant circular pattern centered on Hubei Province;and (4) healthcare system capacity is the key to reducing relative pandemic risk, and cases imported from abroad should be given more attention. The methods and results of this study will provide a methodological basis and practical guidance for regional pandemic risk assessment and public health decision-making. © 2021, Science in China Press.

2.
Transpl Int ; 35: 10626, 2022.
Article in English | MEDLINE | ID: covidwho-1974701

ABSTRACT

Alloimmune responses in kidney transplant (KT) patients previously hospitalized with COVID-19 are understudied. We analyzed a cohort of 112 kidney transplant recipients who were hospitalized following a positive SARS-CoV-2 test result during the first 20 months of the COVID-19 pandemic. We found a cumulative incidence of 17% for the development of new donor-specific antibodies (DSA) or increased levels of pre-existing DSA in hospitalized SARS-CoV-2-infected KT patients. This risk extended 8 months post-infection. These changes in DSA status were associated with late allograft dysfunction. Risk factors for new or increased DSA responses in this KT patient cohort included the presence of circulating DSA pre-COVID-19 diagnosis and time post-transplantation. COVID-19 vaccination prior to infection and remdesivir administration during infection were each associated with decreased likelihood of developing a new or increased DSA response. These data show that new or enhanced DSA responses frequently occur among KT patients requiring admission with COVID-19 and suggest that surveillance, vaccination, and antiviral therapies may be important tools to prevent alloimmunity in these individuals.


Subject(s)
COVID-19 , Kidney Transplantation , Adenosine Monophosphate/analogs & derivatives , Alanine/analogs & derivatives , Antibodies , COVID-19/drug therapy , COVID-19/prevention & control , COVID-19 Testing , COVID-19 Vaccines/therapeutic use , Graft Rejection , HLA Antigens , Humans , Pandemics , SARS-CoV-2 , Transplant Recipients , Vaccination
3.
Computing Conference, 2022 ; 508 LNNS:756-775, 2022.
Article in English | Scopus | ID: covidwho-1971557

ABSTRACT

Email is an essential communication tool for modern people and offers a variety of functions. After the outbreak of COVID-19, the importance of emails enhanced further as non-face-to-face work increased. However, with the spread and dissemination of emails, cybercrime that abused emails has also increased. The number of cases of stealing or damaging email users by impersonating public institutions such as the National Police Agency, the Prosecutor’s Office, or the WHO. This study proposes an advanced algorithm of email classification using an SMTP response code to strengthen the level of email security. The proposed system is located on the side of the recipient’s email server and operates upon receipt of the email. When an email is received, it automatically verifies whether the domain of the email sender is normally registered in DNS. Thereafter, MX, SPF, and PTR records are extracted and combined to determine the state of the sending server. When additional verification is required, a proposed algorithm automatically connects the communication session to the sender to request the SMTP response code. The proposed algorithm was applied to two organizations and succeeded in classifying received emails into various categories. This study contributes to the literature on email classification by presenting new ideas in the process of sender verification. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

4.
Transplant international : official journal of the European Society for Organ Transplantation ; 35, 2022.
Article in English | EuropePMC | ID: covidwho-1970584

ABSTRACT

Alloimmune responses in kidney transplant (KT) patients previously hospitalized with COVID-19 are understudied. We analyzed a cohort of 112 kidney transplant recipients who were hospitalized following a positive SARS-CoV-2 test result during the first 20 months of the COVID-19 pandemic. We found a cumulative incidence of 17% for the development of new donor-specific antibodies (DSA) or increased levels of pre-existing DSA in hospitalized SARS-CoV-2-infected KT patients. This risk extended 8 months post-infection. These changes in DSA status were associated with late allograft dysfunction. Risk factors for new or increased DSA responses in this KT patient cohort included the presence of circulating DSA pre-COVID-19 diagnosis and time post-transplantation. COVID-19 vaccination prior to infection and remdesivir administration during infection were each associated with decreased likelihood of developing a new or increased DSA response. These data show that new or enhanced DSA responses frequently occur among KT patients requiring admission with COVID-19 and suggest that surveillance, vaccination, and antiviral therapies may be important tools to prevent alloimmunity in these individuals. GRAPHICAL

5.
IEEE Robotics and Automation Letters ; : 1-8, 2022.
Article in English | Scopus | ID: covidwho-1961414

ABSTRACT

We design a central controller system (CCS) and a tele-controlled system (TCS) with an aim of developing the integrated tele-monitoring/operation system that can enable the medical staff to tele-monitor the state of therapeutic devices utilized in the isolation intensive care unit (ICU) and to tele-operate its user interfaces. To achieve this aim, we survey the medical staff for medical requirements first and define the design guideline for tele-monitoring/operation functionality and field applicability. In designing the CCS, we focus on realizing the device having intuitive and user-friendly interfaces so that the medical staff can use the device conveniently without pre-training. Further, we attempt to implement the TCS capable of manipulating various types of user interfaces of the therapeutic device (e.g., touch screen, buttons, and knobs) without failure. As two core components of the TCS, the precision XY-positioner having a maximum positioning error of about 0.695 mm and the end-effector having three-degrees-of-freedom motion (i.e., pressing, gripping, and rotating) are applied to the system. In the experiment conducted for assessing functionality, it is investigated that the time taken to complete the tele-operation after logging into the CCS is less than 1 minute. Furthermore, the result of field demonstration for focus group shows that the proposed system could be applied practically to the medical fields when the functional reliability is improved. IEEE

6.
BMJ Open ; 12(4): e058556, 2022 04 19.
Article in English | MEDLINE | ID: covidwho-1807414

ABSTRACT

INTRODUCTION: Future nursing education needs to build a cutting-edge technology-based educational environment to provide a variety of consumer-oriented education. Thus, the sharing of information in nursing education needs to be considered, especially given the advancement of internet of things (IoT) technology. Before developing a horizontal platform, understanding previously developed IoT platforms is necessary to establish services and devices compatible with each other in different service areas. This scoping review aims to explore the technology used in the IoT platform for the education of nursing students in the undergraduate nursing curriculum. METHODS AND ANALYSIS: A preliminary search was completed to find initial search terms, on which a full-search strategy was developed. Search results yielded from PubMed (NCBI) were screened to ensure articles were peer-reviewed, published in English from January 1999 to August 2021, and relevant to developing, applying and evaluating IoT platforms at educational institutions for students in undergraduate nursing programmes. A full-text review of relevant articles will be conducted, and data will be extracted using the developed extraction tool. The extracted qualitative data will be analysed using a modified grounded theory approach, informing a working definition of the IoT platform and related terms. ETHICS AND DISSEMINATION: The study was exempted from ethical review by the Institutional Review Board of Nambu University, South Korea. Study results will be disseminated through peer-reviewed journals.


Subject(s)
Education, Nursing, Baccalaureate , Education, Nursing , Internet of Things , Students, Nursing , Humans , Review Literature as Topic , Technology
7.
Asian Journal of Atmospheric Environment ; 15(3):10, 2021.
Article in English | Web of Science | ID: covidwho-1704467

ABSTRACT

In the wake of the SARS-CoV-2 pandemic, inactivating bioaerosols became a pivotal issue which helps to prevent the transmittance of SARS-CoV-2. Thus, the current study was conducted to investigate a potential inactivating method using both ozone (O-3) and ultraviolet C (UVC). Individual and integrated effects of O-3 and UVC were compared. A solution containing approximately 4 similar to 7.3 x 10(6) CFU/mL of Salmonella typhimurium bacteria was used to produce bacteria droplets. These droplets were exposed to O-3 and UVC to determine the reduction rate of bacteria. The exposure times were set as 1 and 30 minutes. Ozone concentrations were 100 and 200 ppmv. UVC-LEDs were used as a UVC source. Peak wavelength of the UVC-LED was 275 nm and the irradiation dose was 0.77 mW/cm(2). In terms of O-3 and UVC-LED interaction, 194 ppmv styrene was used as a target compound to be removed. Considering the O-3 and UVC-LED interaction, the presence of O-3 could reduce the performance of the UVC-LED, and UVC-LED could also reduce significant amount of O-3. The sequence of O-3 and UVC-LED treatment was as follows: O-3 was exposed at first, then UVC-LED, and this order showed the best reduction ratio ( > 99.9%). Therefore, if O-3 and UVC-LED is used to disinfect Salmonella typhimurium bacteria contained in droplets, bacteria should be separately exposed to O-3 and UVC-LED in order to improve the inactivation efficiency.

8.
Journal of Geo-Information Science ; 23(2):222-235, 2021.
Article in Chinese | Scopus | ID: covidwho-1634798

ABSTRACT

Based on the epidemiological investigation data of 545 COVID-19 cases and mobile phone trajectory data of 15 million users during the epidemic ( from 21 January, 2020 to 24 February, 2020 ), this paper analyzed the spatial-temporal characteristics of COVID-19 and the human mobility changes in Chongqing. Furthermore, the correlation relationship between them was explored to explain these characteristics and changes. The results show that: (1) The epidemic pattern in Chongqing can be divided into three stages ( i.e. imported cases stage, imported cases plus local cases stage, and local cases stage ) and the real time reproduction number (Rt) was high at early stage, but declined significantly after prevention and control measures were taken;The spatial distribution of cases presented a significant clustering, and the high clustering areas were mainly distributed in the northeastern and the southwestern of Chongqing;(2) After the epidemic, the total amount of human mobility decreased to 53.20% and the decrease was mainly concentrated in the main urban area, while that of in the suburbs and rural areas did not change, or even increased;(3) The relationship between human mobility and case occurrence lies in two aspects: The correlation coefficient between daily human mobility and Rt, daily increased number of cases after an average incubation period (7 d) were 0.98, 0.87, revealing the time correlation between human mobility and case growth;The correlation coefficient between total amount of human mobility and total number of cases, number of local cases in each street (township) were 0.40, 0.35, revealing the correlation between human mobility and spatial distribution of cases. The cases clustering area corresponds to the network community of human mobility, revealing the local clustering transmission is the major transmission model. By aggregating the big data and the epidemic data, we suggests that cutting off the connection between different human mobility network communities and blocking the local transmission inside the high risk communities is an effective measure for the prevention and control of epidemics in cities. 2021, Science Press. All right reserved.

9.
Environmental Science & Technology Letters ; : 8, 2022.
Article in English | Web of Science | ID: covidwho-1623439

ABSTRACT

Many places on earth still suffer from a high level of atmospheric fine particulate matter (PM2.5) pollution. Formation of a particulate pollution event or haze episode (HE) involves many factors, including meteorology, emissions, and chemistry. Understanding the direct causes of and key drivers behind the HE is thus essential. Traditionally, this is done via chemical transport models. However, substantial uncertainties are introduced into the model estimation when there are significant changes in the emissions inventory due to interventions (e.g., the COVID-19 lockdown). Here we applied a Random Forest model coupled with a Shapley additive explanation algorithm, a post hoc explanation technique, to investigate the roles of major meteorological factors, primary emissions, and chemistry in five severe HEs that occurred before or during the COVID-19 lockdown in China. We discovered that, in addition to the high level of primary emissions, PM2.5 in these haze episodes was largely driven by meteorological effects (with average contributions of 30-65 mu g m(-3) for the five HEs), followed by chemistry (similar to 15-30 mu g m(-3)). Photochemistry was likely the major pathway of formation of nitrate, while air humidity was the predominant factor in forming sulfate. Our results highlight that the machine learning driven by data has the potential to be a complementary tool in predicting and interpreting air pollution.

10.
Chinese Journal of Ocular Fundus Diseases ; 37(10):812-817, 2021.
Article in Chinese | Scopus | ID: covidwho-1526871

ABSTRACT

Currently, coronavirus disease 2019 (COVID-19) is still widely prevalent around the world, leading to a major threat to the global public health. COVID-19 mainly involves the respiratory system, but extrapulmonary manifestations including that of the nervous system also exist in the setting of COVID-19. Misdiagnosis and delayed treatment of the disease may easily cause when ocular, especially neuro-ophthalmological symptoms are the first symptoms in early COVID-19, as the neuroophthalmological manifestations are rarely reported. First-line clinicians need to ask about not only respiratory symptoms such as fever, cough and sore throat, but also diplopia, impaired vision, eye motion pain, abnormal gait or other neurological deficits at the first reception, as these extrapulmonary manifestations are often signs of serious infection. The neuroophthalmological manifestations and possible underlying etiology of COVID-19 were summarized in this review, hoping to provide an early identification and effective treatment of COVID-19 for clinicians. More extensive studies are needed in the future to confirm the causal relationship between COVID-19 and neuroophthalmological disease to provide a sufficient basis for a comprehensive understanding of COVID-19. Copyright © 2021 by the Chinese Medical Association.

11.
2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2021 ; : 6-9, 2021.
Article in English | Scopus | ID: covidwho-1522560

ABSTRACT

The outbreak of the COVID-19 pneumonia in 2019 has caused great damage to the world economy. With the continuous growth of the amount of data, using machine learning algorithm to analyze and predict the economic development of different countries and regions is a hot topic in recent years. In this paper, three machine learning algorithms (XGBoost, AdaBoost and random forest algorithms) are coupled together, and a new algorithm is proposed. Combined with data preprocessing and fine feature engineering processing, GDP values of different countries and regions are predicted. Experimental results show that our coupled method has better performance than each single machine learning algorithm used in this paper. Specifically, the MSE metrics of proposed model is 1.64%, 3.69% and 8.95% lower than XGBoost, AdaBoost and Random Forest algorithm, respectively. In addition, we also study the correlation coefficient between features and get some constructive guidance to improve the accuracy of the algorithm and restrain the further development of the epidemic situation. © 2021 IEEE.

12.
Asian Journal of Atmospheric Environment ; 15(3):1-10, 2021.
Article in English | Scopus | ID: covidwho-1502725

ABSTRACT

In the wake of the SARS-CoV-2 pandemic, inactivating bioaerosols became a pivotal issue which helps to prevent the transmittance of SARS-CoV-2. Thus, the current study was conducted to investigate a potential inactivating method using both ozone (O3) and ultraviolet C (UVC). Individual and integrated effects of O3 and UVC were compared. A solution containing approximately 4⁓7.3 × 106 CFU/mL of Salmonella typhimurium bacteria was used to produce bacteria droplets. These droplets were exposed to O3 and UVC to determine the reduction rate of bacteria. The exposure times were set as 1 and 30 minutes. Ozone concentrations were 100 and 200 ppmv. UVC-LEDs were used as a UVC source. Peak wavelength of the UVC-LED was 275 nm and the irradiation dose was 0.77 mW/cm2. In terms of O3 and UVC-LED interaction, 194 ppmv styrene was used as a target compound to be removed. Considering the O3 and UVC-LED interaction, the presence of O3 could reduce the performance of the UVC-LED, and UVC-LED could also reduce significant amount of O3. The sequence of O3 and UVC-LED treatment was as follows: O3 was exposed at first, then UVC-LED, and this order showed the best reduction ratio (≻99.9%). Therefore, if O3 and UVC-LED is used to disinfect Salmonella typhimurium bacteria contained in droplets, bacteria should be separately exposed to O3 and UVC-LED in order to improve the inactivation efficiency. © 2021. by Asian Association for Atmospheric Environment This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.x.

13.
American Journal of Respiratory and Critical Care Medicine ; 203(9):1, 2021.
Article in English | Web of Science | ID: covidwho-1407502
14.
Sustainable Cities and Society ; 74, 2021.
Article in English | Scopus | ID: covidwho-1371519

ABSTRACT

The COVID-19 pandemic has changed human daily activities significantly. Understanding the nature, causes, and extent of these changes is essential to evaluate the pandemic's influence on commerce, transportation, employment, and environment, among others. However, existing studies mainly focus on changes to general human mobility patterns;few have investigated changes in specific human daily activities. Based on one-year longitudinal mobile phone positioning data for more than 31 million users in Beijing, we tracked intensity changes in two basic human daily activities, dwelling and working, over the stages of COVID-19. The results show that during COVID-19 outbreak, human working intensity decreased about 60% citywide, while dwelling intensity decreased about 40% in some work and education areas. After COVID-19 was under control, intensity in most regions has recovered, but that in schools, hotels, entertainment venues, and tourism areas has not. These intensity changes at regional scale are due to behavior changes at individual scale: about 43% of residents left Beijing before COVID-19, while only 16% have returned back;all commuters decreased their commuting times during COVID-19, while only 75% have reverted to normal. The findings reveal variations in human activities caused by COVID-19 that can support targeted urban management in the post-epidemic era. © 2021

15.
Chinese Journal of Neurology ; 54(7):693-695, 2021.
Article in Chinese | EMBASE | ID: covidwho-1323826

ABSTRACT

Coronavirus-NL63 is a common respiratory virus, which often causes severe respiratory symptoms such as fever, cough, expectoration, pneumonia and so on. The damage of central nervous system is rare. A case of acute necrotizing encephalitis caused by respiratory coronavirus-NL63 infection with cognitive impairment as the first symptom is reported, finding of CT/magnetic resonance imaging scanning indicating necrosis combined with a striated encephalomalacia of the corpus callosum and bilateral cerebral hemispheres.

16.
12th International Conference on E-Education, E-Business, E-Management, and E-Learning, IC4E 2021 ; : 195-199, 2021.
Article in English | Scopus | ID: covidwho-1282136

ABSTRACT

Information technology has greatly enhanced the ability of disaster relief through the online teaching mode, but the novel coronavirus pneumonia epidemic has exposed many problems in online teaching. Taking the course of "principle and application of database system"as an example, this paper proposes a novel teaching mode and teaching strategy based on superstar platform, nail live broadcast, shiver teaching assistant and online tutoring and answering in the special period of new coronavirus, which also combine with the course of Ideological and political education according to epidemic situation. Practice and research results show that online and offline hybrid teaching mode can achieve the better teaching effect than the pure classroom and face-to-face teaching mode. © 2021 ACM.

17.
American Journal of Respiratory and Critical Care Medicine ; 203(9), 2021.
Article in English | EMBASE | ID: covidwho-1277717

ABSTRACT

Introduction: COVID-19 virus has been known to be a major cause of mortality secondary to cytokine storm and respiratory failure. Other manifestations include GI symptoms, loss of taste and smell and thromboembolism. Here we introduce a case of suspected COVID-19 induced viral myocarditis in an 86 year old woman. Case presentation: An 86-year-old female with no reported past medical history, not on daily medications, was brought in by ambulance after fall and unable to get up for many hours. On presentation, she was in mild distress due to left sided musculoskeletal pain, afebrile, tachycardic, tachypneic, and saturating at 93% on room air. Patient denied chest pain throughout her hospitalization. Tenderness in the left chest wall, left upper and lower extremities was elicited on physical examination. Labs obtained were significant for a creatine kinase of 37,000 IU/L and troponin I of 9.93ng/mL. EKG showed nonspecific T wave abnormalities, and prolonged QTC of 548ms. Chest x-ray showed multifocal pneumonia with no features suggestive of trauma. She was admitted to telemetry for further management of COVID-91 pneumonia and cardiac work up. Her troponin I peaked to 12.52ng/mL and she was treated with empiric intravenous heparin and aspirin. Echocardiogram shows global hypokinesis with left ventricular ejection fraction of 35-40%. Heart failure regimen with beta blocker and aldosterone receptor blocker were started. Rhabdomyolysis normalized with intravenous fluids. For COVID-19 pneumonia, she received dexamethasone and remdesivir and was weaned to 4L oxygen on discharge. Discussion:Viral myocarditis often results from a combination of direct viral injury and subsequent cellular immune activation. There is limited knowledge for COVID-19 associated viral myocarditis;most documented cases are from existing case reports, where most patients are male, and under the age of 70 years. Diagnosis is often challenging, as endomyocardial biopsy is often forgone in the setting of the ongoing pandemic and increased infection risk. Treatment for viral myocarditis involves heart failure management followed by directed therapy based on suspected etiology. Lymphocytic myocarditis, as seen in the setting of COVID-19, would typically involve immunosuppression in the form of glucocorticoids and intravenous immunoglobulin;although these regimens have yet to be extensively studied in COVID-19 associated myocarditis. As literature on this infection is rapidly evolving, it is vital to recognize and document suspected cases. This case helps to establish presentation of COVID-19 induced viral myocarditis and facilitate future understanding and raises awareness of this extrapulmonary presentation.

18.
World Chinese Journal of Digestology ; 29(1):48-52, 2021.
Article in Chinese | EMBASE | ID: covidwho-1200355

ABSTRACT

BACKGROUND With the increase of age, the incidence of gastroesophageal reflux disease increases in elderly patients. Due to a lack of an understanding of the disease, high psychological pressure, and other factors, the patients may develop negative emotions, which thus affects their quality of sleep. AIM To investigate the effect of mindfulness-based stress reduction therapy on psychological status and sleep quality of elderly patients with gastroesophageal reflux disease during the COVID-19 pandemic. METHODS A total of 120 elderly patients with gastroesophageal reflux disease admitted to our hospital from May 2020 to October 2020 were selected and randomly divided into either a control group or an observation group with 60 patients each. Both groups were given routine medical care, such as diet care, health education, medication care, sports care, psychological care, and disease-related knowledge consultation. The observation group was additionally given mindfulness-based stress reduction therapy five times, with each intervention lasting 30 min. To ensure the completion of the study, the intervention was performed every 2 d, with each participant completing the intervention within 10 d and receiving eight times of intervention. The Depression-Anxiety-Stress Scale (DASS-21), Mood State Scale (POMS), and Pittsburgh Sleep Quality Scale (PSQI) were used for scoring before and after the intervention. RESULTS Compared with the scores before intervention, the scores of the dimensions of depression, anxiety, and stress and the total score of DASS-21 were significantly decreased in both groups after intervention (P < 0.05);the decrease in the observation group was significantly greater than that of the control group (P < 0.05). Compared with the values before intervention, the scores of subscales of stress and depression in both groups decreased significantly after intervention (P < 0.05);the changes in the observation group were significantly greater than those in the control group (P < 0.05). However, there was no significant difference in the scores of subscales of ego, fatigue, energy, anger, and panic (P > 0.05). Compared with the values before intervention, the scores of sleep quality, sleeping time, sleeping time, sleep efficiency, sleep disorder, hypnotic drugs, and daytime dysfunction and total score of the PSQI decreased significantly in both groups after intervention (P < 0.05);the decrease in the observation group was significantly greater than that of the control group (P < 0.05). CONCLUSION Mindfulness-based stress reduction therapy can effectively reduce anxiety and depression in elderly patients with gastroesophageal reflux disease during the COVID-19 epidemic, and positively improve their sleep quality.

19.
20.
Zhonghua Wei Chang Wai Ke Za Zhi ; 23(8): 795-800, 2020 Aug 25.
Article in Chinese | MEDLINE | ID: covidwho-723526

ABSTRACT

Objective: To understand the treatment status and effects on colorectal cancer (CRC) patients in China during the COVID-19 pandemic, and provide evidence for decision-making for health-care workers. Methods: The method of cross-sectional study was applied. A questionnaire survey of CRC patients in China was carried out. Their basic and treatment information during the COVID-19 were collected and associated effects on treatment, nursing, state of psychology and needs of social support were analyzed. Results: Of the 1147 participants in the study, 635 (55.4%) were male and 512 (44.6%) were female with mean age of (52.8±12.8) years. The treatment or follow up of 896 (78.1%) CRC patients were affected during the COVID-19 outbreak. A total of 253 patients (22.1%) had their treatment regiments changed, of whom 141 (12.3%) had their chemotherapy regiments postponed or changed, and 83 patients (7.2%) had their surgical treatment affected. Among the above 83 patients, 39 patients (3.4%) underwent emergency surgery. A total of 277 patients (24.1%) had their out-of-hospital care needs affected, mainly due to maintenance of PICC (49.5%, 137/277). CRC patients had poorer sleep quality and increased levels of insomnia than before (P<0.001), and were more distressed, anxious, depressed, and angry than they were before. They presented the more requirements of help (P<0.001). In addition, 376 patients (32.8%) had received telemedicine services, but only 36.4% (137/376) of them were satisfied. Conclusions: The COVID-19 epidemic has effect on the integrated treatment of CRC patients include diagnosis, treatment, examination and prognosis. While protecting CRC patients from being infected with SARS-CoV-2, health-care workers should also actively help them to receive timely and correct treatment and pay attention to their nursing, nutritional, psychological and social support needs in the COVID-19 epidemic.


Subject(s)
Colorectal Neoplasms , Coronavirus Infections , Pandemics , Pneumonia, Viral , Adult , Aged , Betacoronavirus , COVID-19 , China , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , SARS-CoV-2
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