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1.
Int J Environ Res Public Health ; 19(13)2022 Jun 22.
Article in English | MEDLINE | ID: covidwho-1934028

ABSTRACT

The effectiveness of peer support in improving mental health and well-being has been well documented for vulnerable populations. However, how peer support is delivered to migrant domestic workers (MDWs) to support their mental health is still unknown. This scoping review aimed to synthesize evidence on existing peer support services for improving mental health among MDWs. We systematically searched eight electronic databases, as well as grey literature. Two reviewers independently performed title/abstract and full-text screening, and data extraction. Twelve articles were finally included. Two types of peer support were identified from the included studies, i.e., mutual aid and para-professional trained peer support. MDWs mainly seek support from peers through mutual aid for emotional comfort. The study's findings suggest that the para-professional peer support training program was highly feasible and culturally appropriate for MDWs. However, several barriers were identified to affect the successful implementation of peer support, such as concerns about emotion contagion among peers, worries about disclosure of personal information, and lack of support from health professionals. Culture-specific peer support programs should be developed in the future to overcome these barriers to promote more effective mental health practices.


Subject(s)
Mental Health , Transients and Migrants , Counseling , Health Personnel/psychology , Humans , Peer Group
2.
Journal of Interactive Advertising ; : 1-12, 2022.
Article in English | Taylor & Francis | ID: covidwho-1886335
3.
Cells ; 11(12)2022 06 07.
Article in English | MEDLINE | ID: covidwho-1884015

ABSTRACT

People with pre-existing lung diseases such as chronic obstructive pulmonary disease (COPD) are more likely to get very sick from SARS-CoV-2 disease 2019 (COVID-19). Still, an interrogation of the immune response to COVID-19 infection, spatially throughout the lung structure, is lacking in patients with COPD. For this study, we characterized the immune microenvironment of the lung parenchyma, airways, and vessels of never- and ever-smokers with or without COPD, all of whom died of COVID-19, using spatial transcriptomic and proteomic profiling. The parenchyma, airways, and vessels of COPD patients, compared to control lungs had (1) significant enrichment for lung-resident CD45RO+ memory CD4+ T cells; (2) downregulation of genes associated with T cell antigen priming and memory T cell differentiation; and (3) higher expression of proteins associated with SARS-CoV-2 entry and primary receptor ubiquitously across the ROIs and in particular the lung parenchyma, despite similar SARS-CoV-2 structural gene expression levels. In conclusion, the lung parenchyma, airways, and vessels of COPD patients have increased T-lymphocytes with a blunted memory CD4 T cell response and a more invasive SARS-CoV-2 infection pattern and may underlie the higher death toll observed with COVID-19.


Subject(s)
COVID-19 , Pulmonary Disease, Chronic Obstructive , Humans , Lung/metabolism , Proteomics , Pulmonary Disease, Chronic Obstructive/metabolism , SARS-CoV-2
4.
Security and Communication Networks ; 2022, 2022.
Article in English | ProQuest Central | ID: covidwho-1843246

ABSTRACT

With the increasing popularity of online social networks (OSNs), a huge number of social bots have emerged. Social bots are involved in various cybercrimes like cyberbullying and rumor dissemination, which have seriously affected the normal order of OSNs. Nowadays, existing studies in this field almost focus on English OSNs like Twitter and Facebook. However, it is difficult to directly apply these detection technologies to Sina Weibo, which is one of the largest Chinese microblogging services in the world. In addition, social bots are evolving rapidly and time-consuming feature engineering may not perform well in detecting newly emerging social bots. In this paper, we propose a new joint approach with Temporal and Profile information for social bot detection (TPBot). The approach includes data collection module, feature extraction module, and detection module. To begin with, data collection module uses a web crawler to obtain user data from Sina Weibo. Next, the feature extraction module regards the user posts as temporal data to extract temporal-semantic and temporal-metadata features. Furthermore, this module extracts features based on users’ profile. Finally, a detection model based on BiGRU and attention mechanism is designed in the detection module. The results show that TPBot performs better than baselines with the F1-score of 0.9837 on the Sina Weibo dataset. Moreover, we have also conducted an experiment on the two datasets collected from Twitter to evaluate the generalization ability of TPBot. It is found that TPBot outperforms baselines on the new datasets and has good generalization ability.

5.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-336222

ABSTRACT

Rationale People with pre-existing lung diseases like chronic obstructive pulmonary disease (COPD) are more likely to get very sick from SARS-CoV-2 disease 2019 (COVID-19), but an interrogation of the immune response to COVID-19 infection, spatial throughout the lung structure is lacking in patients with COPD. Objectives To profile the immune microenvironment of lung parenchyma, airways, and vessels of never- and ever-smokers with or without COPD, whom all died of COVID-19, using spatial transcriptomic and proteomic profiling. Findings The parenchyma, airways, and vessels of COPD patients, compared to control lungs had: 1) significant enrichment for lung resident CD45RO + memory T cells;2) downregulation of genes associated with T cell antigen-priming and memory T cell differentiation;3) higher expression of proteins associated with SARS-CoV-2 entry and major receptor ubiquitously across the ROIs and in particular the lung parenchyma, despite similar SARS-CoV-2 structural gene expression levels. Conclusions The lung parenchyma, airways, and vessels of COPD patients have increased T-lymphocytes with a blunted memory T cell response and a more invasive SARS-CoV-2 infection pattern, and may underlie the higher death toll observed with COVID-19.

6.
Zhongguo Shi Yan Xue Ye Xue Za Zhi ; 30(2): 645-648, 2022 Apr.
Article in Chinese | MEDLINE | ID: covidwho-1786420

ABSTRACT

Coronavirus disease 2019 (COVID-19) has spread rapidly worldwide since outbreak in December 2019, and become a global public health crisis. Patients with hematological malignancy concurrently infected with COVID-19 are often associated with severe even fatal complications, due to low basic immune function, high intensity of chemotherapy and radiotherapy, and slow immune reconstruction post hematopoietic stem cell transplantation, and their treatment strategies, such as anti-infective therapy, blood transfusion, and the use of granulocyte colony stimulating factor need to be adjusted. The characteristics of patients, chemotherapy, hematopoietic stem cell transplantation, and other clinical factors may affect the prognosis of patients with hematological malignancy concurrently infected with COVID-19. Herein, the latest research progress is reviewed.


Subject(s)
COVID-19 , Hematologic Neoplasms , Hematopoietic Stem Cell Transplantation , Granulocyte Colony-Stimulating Factor/therapeutic use , Hematologic Neoplasms/drug therapy , Hematopoietic Stem Cell Transplantation/adverse effects , Humans , Prognosis
7.
Annals of Translational Medicine ; 10(2), 2022.
Article in English | EuropePMC | ID: covidwho-1733031

ABSTRACT

On 28 July 2021, the first indigenous case of novel coronavirus pneumonia (COVID-19) emerged in Yangzhou, marking the beginning of a public health crisis caused by the new coronavirus pneumonia. It is a significant challenge for hospitals to carry out prevention and control measures to ensure the safety of medical professionals and patients when facing the changes in an epidemic situation. Subei People’s Hospital, as one of the first group of “Grade III-class A” hospitals in Jiangsu Province and the Yangzhou Regional Medical Centre, responded quickly and scientifically to prevent and control the disease. A closed-loop management system was implemented at the hospital entrance (consisting of the outpatient clinic, emergency clinic, fever clinic, and buffer ward) and an epidemic prevention and control group was established with the assistance of multiple departments. This group optimized the pre-screening and triage system, standardized the fever clinic consultation process, and improved the construction of an information-based prevention and control network so that patients were detected, diagnosed, isolated, and treated early. The emergency management capability was improved to achieve zero missed consultations of patients attending for COVID-19 and to effectively maintain medical order during this critical period. This current report systematically summarizes the operational practices and the effectiveness achieved by implementation of the entrance closed-loop management in the hospital and analyzed the key operational issues for future reference by medical institutions and management departments.

8.
EuropePMC; 2022.
Preprint in English | EuropePMC | ID: ppcovidwho-329084

ABSTRACT

This study aims to investigate the impact of COVID-19 lockdown on lifestyle behaviors and depressive symptom among patients with NCDs.We incorporated a COVID-19 survey to the WELL China cohort, a prospective cohort study with the baseline survey conducted 8–16 months before the COVID-19 outbreak in Hangzhou, China. The COVID-19 survey was carried out to collect information on lifestyle and depressive symptom during lockdown.A total of 3,327 participants were included in the COVID-19 survey, including 2,098 (63.1%) reported having NCDs at baseline and 1,457 (44%) without NCDs. The prevalence of current drinkers decreased from 42.9% before COVID-19 lockdown to 23.7% during lockdown, current smokers from 15.9–13.5%, and poor sleepers from 23.9–15.3%, while low physical activity increased from 13.4–25.2%, among participants with NCDs. Participants with NCDs were more likely than those without to have depressive symptom (OR, 1.30;95% CI, 1.05–1.61), especially among those who need to refill their medication during the COVID-19 lockdown (OR, 1.52;95% CI, 1.15–2.02).Our findings provide insight into the development of targeted interventions to better prepare patients with NCDs and healthcare system to meet the challenge of future pandemic and lockdown, which is highly likely to happen in the near future.

9.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-325222

ABSTRACT

BACKGROUND: Previous study suggested that Chinese Herbal Medicine (CHM) Formula Huashibaidu granule might shorten disease course of Corona Virus Disease 2019 (COVID-19) patients. Our research aims to investigate the early treatment effect of Huashibaidu granule in mild COVID-19 patients under well clinical management.METHODS: An unblended cluster-randomized clinical trial was conducted at the Dongxihu FangCang hospital. 2 cabins were randomly allocated to CHM or control group, with 204 randomly sampled mild COVID-19 patients in each cabin. All participants received a 7-day conventional treatment, and CHM group cabin used additional Huashibaidu granule 10g twice daily. Participants were followed up until they met clinical endpoint. The primary outcome was patient become worsening before clinical endpoint occurred. The secondary outcomes was discharge with cure before clinical endpoint occurred and relief of composite symptoms after 7 days treatment.FINDINGS: All 408 participants were followed up to meet clinical endpoint and included in statistical analysis. The baseline characteristics were comparable between 2 groups. The number of worsening patients in the CHM group was 5 (2.5%), and that in the control group was 16 (7.8%). There was a significant difference between groups (P=0.014). 8 foreseeable mild adverse events occurred without statistical difference between groups.INTERPRETATION: 7-day early treatment with Huashibaidu granule reduced worsening conversion of mild COVID-19 patients. Our study supports Huashibaidu Granule as an active option for early treatment of mild COVID-19 in similar medical locations with well management.TRIAL REGISTRATION: The Chinese Clinical Trial Registry: ChiCTR2000029763.FUNDING: This study was supported by “National Key R&D Program of China” (No.2020YFC0841500).DECLARATION OF INTERESTS: The authors guaranteed that there existed no competing interest in this paper.ETHICS APPROVAL STATEMENT: Ethics Review Committee of Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences Approval of Ethical Review Acceptance Number: S2020-001;Approval Number: P20001/PJ01.

10.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324619

ABSTRACT

Using data on imported and domestic COVID-19 cases from Taiwan and New Zealand between January and June 2020, we develop a Bayesian random-effects Poisson model to detect cluster infections from imported cases. We find remarkable consistency in the predictive power of the model. An increase in one imported case increased the risk of domestic cases by 9.54% in Taiwan and 10.97% in New Zealand. The Taiwan epidemic curve revealed that imported cases did not lead to a large-scale community-acquired outbreak. In New Zealand, a community-acquired outbreak during 29th March-4th April could have been averted if control actions had been taken one-week earlier prior to the predicted cluster infection between 22nd and 28th March. Our model can be used as an early warning of outbreaks during the initial stage of pandemic or the resurgence of outbreaks after lifting containment measures, such as lockdown orders and border control, during a pandemic.

11.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-324523

ABSTRACT

Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images. Due to the nature of blurred boundaries, the supervised segmentation methods usually suffer from annotation biases. To support unbiased lesion localisation and to minimise the labeling costs, we propose a data-driven framework supervised by only image-level labels. The framework can explicitly separate potential lesions from original images, with the help of a generative adversarial network and a lesion-specific decoder. Experiments on two COVID-19 datasets demonstrate the effectiveness of the proposed framework and its superior performance to several existing methods.

12.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-324444

ABSTRACT

COVID-19 has impacted all lives. To maintain social distancing and avoiding exposure, works and lives have gradually moved online. Under this trend, social media usage to obtain COVID-19 news has increased. Also, misinformation on COVID-19 is frequently spread on social media. In this work, we develop CHECKED, the first Chinese dataset on COVID-19 misinformation. CHECKED provides a total 2,104 verified microblogs related to COVID-19 from December 2019 to August 2020, identified by using a specific list of keywords. Correspondingly, CHECKED includes 1,868,175 reposts, 1,185,702 comments, and 56,852,736 likes that reveal how these verified microblogs are spread and reacted on Weibo. The dataset contains a rich set of multimedia information for each microblog including ground-truth label, textual, visual, temporal, and network information. Extensive experiments have been conducted to analyze CHECKED data and to provide benchmark results for well-established methods when predicting fake news using CHECKED. We hope that CHECKED can facilitate studies that target misinformation on coronavirus. The dataset is available at https://github.com/cyang03/CHECKED.

13.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-323744

ABSTRACT

As of the end of May 2020, 44 of the 51 U.S. states and District of Columbia have implemented shelter-in-place (SIP) policies at some point during the initial outbreak of the novel coronavirus. Despite the widespread adoption of SIP policies, empirical researchers are unable to reconcile SIP policies' apparent causal impact on improvements in public health outcomes with the lack of evidence of a mediating social distancing (SD) mechanism. We argue that these contradictory econometric results can be reconciled if researchers (1) use historical SD data to account for heterogeneous seasonality patterns across regions and (2) adopt our proposed crowdedness measure of SD that captures traffic density over non-residential square footage. Using weather variables to instrument for SD behaviors, we show that a 10% decrease in crowdedness leads to a 1-1.5 percentage point decrease in the confirmed case growth rates while changes to the percent of time at home, a standard SD measure, has a negligible impact on case growth rates. Furthermore, we adopt a triple differences approach, comparing differences between pre- and post-intervention (1st) counties' year over year changes in SD behavior (2nd) with the corresponding metrics of counties without such interventions over the same timeframes (3rd), to demonstrate that SIP policies decreased crowdedness by nearly 10%. This magnitude of decrease in crowdedness fully mediates our estimated direct impact of SIP on case growth rates. Informed by our findings, policy makers should consider allocating limited resources to tracking and controlling crowdedness rather than attempting to enforce blanket SIP orders.

14.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-323708

ABSTRACT

The cell-mediated protective and pathogenic immune responses to SARS-CoV-2 infection remain largely unknown. Here, we identified 76 distinct cell subsets in the PBMC samples that were associated with various clinical presentations of COVID-19 using scRNA-seq technology coupled with a deep and comprehensive analysis of unique cell surface markers and differentially expressed genes. Notable cell subsets include (NCAM1hiCD160+)NK and (TRAV1-2+CD8+)MAIT cells increased in the asymptomatic subjects, (LAG3+CD160+CD8+)NKT cells increased in the symptomatic patients, (CD68-CSF1R-IL1BhiCD14+)classical monocytes associated with age and disease severity, (CD33-HLA-DMA-CD14+)classical monocytes and (CLEC10A-S100A9lo)pDC associated with the viral persistence, neutrophils and (CD68-CSF1R-IL1BhiCD14+ )classical monocytes dramatically increased in a fatal patient, whereas (LAG3+CD160+CD8+)NKT and (FOXP3+IL2RA+IL7R+CD4+)Treg cells markedly increased in a patient with humoral immunodeficiency. The GO and KEGG analyses identified enriched pathways related to immune responses, inflammation, apoptosis and other processes. These findings may enhance our understanding of the immunopathogenesis of COVID-19 and help develop novel strategies against SARS-CoV-2 infection.Funding Information: This study is supported in part by the Department of Science and Technology of Shaanxi Province (Grant No. 2020ZDXM2-SF-02) (CZ and BS) and the operational funds from The First Affiliated Hospital of Xi’an Jiaotong University (CZ and BS).Declaration of Interests: The authors declare that they have no competing financial interests.

15.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322464

ABSTRACT

Objective: this study aimed to explore the impacts of myocardial injury on the clinical severity and outcomes in patients with Coronavirus Disease 2019 (COVID-19). Methods: : we analyzed the electronic medical records of 1646 COVID-19 inpatients in Wuhan Huoshenshan Hospital. Results: : 327 (19.9%) developed into severe cases, 23 (1.4%) died. In comparison to common cases, severe cases showed older age, more comorbidities, abnormal immune responses, as well as liver, renal, cardiac and coagulation disorders. Multivariable logistic regression identified that older age , combining with arrhythmia, abnormal lymphocyte percentage, elevated hypersensitive C reactive protein (hs-CRP) and myocardial injury were the independent risk factors for the incidence of severe cases. Moreover, Kaplan-Meier survival analysis showed that patients with myocardial injury had increasing risks of mortality, incidence of severe cases, acute respiratory distress syndrome (ARDS), and intensive care unit (ICU) admission. Particularly, myocardial injury patients co-existed with any other risk factor further deteriorated the clinical outcomes. Conclusion: The presence of myocardial injury and its co-existing with older age, arrhythmia, abnormal lymphocyte percentage, or elevated hs-CRP were greatly associated with the incidence of severe patients and poor clinical outcomes.

16.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322459

ABSTRACT

The onset of the COVID-19 pandemic in 2020 has greatly impacted all forms of social activities globally, including traditional classroom activities across all levels of instruction (kindergarten to universities). While many countries have opted for suspension of lessons, this cannot continue indefinitely and alternative means to continue lessons must be developed. While online and blended learning (including MOOCs) have been an active subject of research and discourse during the pre-pandemic days, onset of the pandemic has suddenly created an immediacy to such means of course delivery, better than any administrator or teaching committee could have done. This creates both a gap and tension in terms of successful and engaging content delivery, where traditional modes of synchronous content delivery is now forced to be brought online. Yet, the situation provides educators with an opportunity to explore the merits and weaknesses of online learning. Thus, this article seeks to outline the challenges and paradigm shifts involved in such synchronous online learning as a replacement for traditional classroom learning, following our experience at SUTD of conducting a full 13-week online physics course between May to August 2020. At the same time, we reflect on the merits brought about by the availability of such technologies that can potentially be translated to the physical physics classrooms.

17.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-321202

ABSTRACT

Epidemic forecasting provides an opportunity to predict geographic disease spread and counts when an outbreak occurs and plays a key role in preventing or controlling their adverse impact. However, conventional prediction models based on complex mathematical modeling rely on the estimation of model parameters, which yields unreliable and unsustainable results. Herein, we proposed a simple model for predicting the epidemic transmission dynamics based on nonlinear regression of the epidemic growth rate and iterative methods, which is applicable to the progression of the COVID-19 outbreak under the strict control measures of the Chinese government. Our model yields reliable and accurate results as confirmed by the available data: we predicted that the total number of infections in mainland China would be 91,253, and the maximum number of beds required for hospitalized patients would be 62,794. We inferred that the inflection point (when the growth rate turns from positive to negative) of the epidemic across China would be mid-February, and the end of the epidemic would be in late March. This model is expected to contribute to resourceallocation and planning in the health sector while providing a theoretical basis forgovernments to respond to future global health crises or epidemics.

18.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-315710

ABSTRACT

Background: Understanding the long-term effects of coronavirus disease 2019 (COVID-19) on cognitive function is essential for the prevention of cognitive decline in elderly population. This study aims to assess cognitive status and longitudinal decline at 6 months post-infection in elderly patients recovered from COVID-19.Methods: This cross-sectional study recruited 1013 COVID-19 inpatients aged over 60 years who were discharged from three COVID-19-designated hospitals in Wuhan, China, from February 10 to March 13, 2020. In total, 262 uninfected living spouses of COVID-19 patients were selected as controls. Subjects were examined for their current cognitive status using a Chinese version of the Telephone Interview of Cognitive Status-40 (TICS-40) and longitudinal cognitive decline using an Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE). Cognitive assessments were performed 6 months after patient discharge.Findings: COVID-19 patients had significantly lower TICS-40 scores (patients: 29.73±6.13;controls: 30.74±5.95, p=0.016) and higher IQCODE scores (patients: 3.40±0.81;controls: 3.15±0.39, p<0.001) than the controls. Severe COVID-19 patients had lower TICS-40 scores and higher IQCODE scores than non-severe COVID-19 patients (TICS-40: 22.98±7.12 vs. 30.46±5.53, p<0.001;IQCODE: 4.06±1.39 vs. 3.33±0.68, p<0.001) and controls (TICS-40: 22.98±7.12 vs. 30.74±5.95, p<0.001;IQCODE: 4.06±1.39 vs. 3.15±0.39, p<0.001). Severe COVID-19 patients had a higher proportion of cases with a current cognitive impairment and longitudinal cognitive decline than non-severe COVID-19 patients and controls. COVID-19 severity (OR: 8.142, 95% CI: 5.007-13.239) was associated with worse current cognitive function. Older age (OR: 1.024, 95% CI: 1.003 to 1.046), COVID-19 severity (OR: 2.277, 95% CI: 1.308 to 3.964), mechanical ventilation (OR: 5.388, 95% CI: 3.007 to 9.656), and hypertension (OR: 1.866, 95% CI: 1.376 to 2.531) were associated with an increased risk of longitudinal cognitive decline.Interpretation: SARS-CoV-2 infection is associated with delayed cognitive decline in elderly population. COVID-19 patients with risk factors, including severe disease, older age, mechanical ventilation, and hypertension, should be intensively monitored for delayed cognitive decline. Funding: National Natural Science Foundation of China.Conflict of Interest: We declared no conflict of interests.Ethical Approval: The study protocols were approved by the institutional review boards of the hospitals. Verbal informed consent was obtained from all participants prior to the survey.

19.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-315333

ABSTRACT

Background: Since the first case of a coronavirus disease 2019 (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Southwest China. The aim of this study was to describe the imaging manifestations of hospitalized patients with confirmed COVID-19 infection in southwest China. Methods: In this retrospective study, data were collected from 131 patients with confirmed coronavirus disease 2019 (COVID-19) from 3 Chinese hospitals. Their common clinical manifestations, as well as characteristics and evolvement features of chest CT images, were analyzed. Results: A total of 100 (76%) patients had a history of close contact with people living in Wuhan , Hubei. The clinical manifestations of COVID-19 included cough, fever. Most of the lesions identified in chest CT images were multiple lesions of bilateral lungs, lesions were more localized in the peripheral lung, 109 (83%) patients had more than two lobes involved, 20 (15%) patients presented with patchy ground glass opacities, patchy ground glass opacities and consolidation of lesions co-existing in 61 (47%) cases. Complications such as pleural thickening, hydrothorax, pericardial effusion, and enlarged mediastinal lymph nodes were detected but only in rare cases. For the follow-up chest CT examinations (91 cases), We found 66 (73%) cases changed very quickly, with an average of 3.5 days, 25 cases (27%) presented absorbed lesions, progression was observed in 41 cases (46%), 25 (27%) cases showed no significant changes. Conclusion: Chest CT plays an important role in diagnosing COVID-19. The imaging pattern of multifocal peripheral ground glass or mixed consolidation is highly suspicious of COVID-19, that can quickly change over a short period of time.

20.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308192

ABSTRACT

Background: The outbreak of sever acute respiratory syndrome coronavirus 2(SARS-CoV-2) has become a great threat to the world. No study has been done on the mild or asymptomatic SARS-CoV-2 in a family cluster. Methods: : We report the epidemiological, clinical, laboratory, radiological, and clinical outcomes of five patients in a family cluster. Results: : We enrolled a family of five patients who was confirmed with SARS-CoV-2 infection. One of them worked in Wuhan and returned to Danzhou, Hainan on January 22,2020. The other four family members, who did not travel to Wuhan, became infected with the virus after several days of contact with the family member. Five family members (aged 33–57years) presented with fever, cough or no symptom onset. Three of them had negative nucleic test on first swab sampling. One of them was not confirmed until the third nucleic acid test. Two of them had radiological ground-glass lung opacities. Two patients presenting with fever had lymphopenia or decreased white blood cells. No one had increased C-reactive protein or lactate dehydrogenase levels. After treatment, they were discharged. Conclusions: : Person-to-person transmission of SARS-CoV-2 was confirmed in family setting. Concerns should be raised for the asymptomatic persons in a family cluster.

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