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1.
Frontiers in Public Health ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2199499

ABSTRACT

AimTo explore the role of smell and taste changes in preventing and controlling the COVID-19 pandemic, we aimed to build a forecast model for trends in COVID-19 prediction based on Google Trends data for smell and taste loss. MethodsData on confirmed COVID-19 cases from 6 January 2020 to 26 December 2021 were collected from the World Health Organization (WHO) website. The keywords "loss of smell" and "loss of taste" were used to search the Google Trends platform. We constructed a transfer function model for multivariate time-series analysis and to forecast confirmed cases. ResultsFrom 6 January 2020 to 28 November 2021, a total of 99 weeks of data were analyzed. When the delay period was set from 1 to 3 weeks, the input sequence (Google Trends of loss of smell and taste data) and response sequence (number of new confirmed COVID-19 cases per week) were significantly correlated (P < 0.01). The transfer function model showed that worldwide and in India, the absolute error of the model in predicting the number of newly diagnosed COVID-19 cases in the following 3 weeks ranged from 0.08 to 3.10 (maximum value 100;the same below). In the United States, the absolute error of forecasts for the following 3 weeks ranged from 9.19 to 16.99, and the forecast effect was relatively accurate. For global data, the results showed that when the last point of the response sequence was at the midpoint of the uptrend or downtrend (25 July 2021;21 November 2021;23 May 2021;and 12 September 2021), the absolute error of the model forecast value for the following 4 weeks ranged from 0.15 to 5.77. When the last point of the response sequence was at the extreme point (2 May 2021;29 August 2021;20 June 2021;and 17 October 2021), the model could accurately forecast the trend in the number of confirmed cases after the extreme points. Our developed model could successfully predict the development trends of COVID-19. ConclusionGoogle Trends for loss of smell and taste could be used to accurately forecast the development trend of COVID-19 cases 1-3 weeks in advance.

2.
Genome Medicine ; 14(1):146, 2022.
Article in English | MEDLINE | ID: covidwho-2196419

ABSTRACT

BACKGROUND: The emergence of SARS-CoV-2 Omicron subvariants has raised questions regarding resistance to immunity by natural infection or immunization. We examined the sensitivity of Delta and Omicron subvariants (BA.1, BA.1.1, BA.2, BA.2.12.1, BA.4/5, and BA.3) to neutralizing antibodies from BBIBP-CorV-vaccinated and BBIBP-CorV- or ZF2001-boosted individuals, as well as individuals with Delta and BA.1 breakthrough infections, and determined their fusogenicity and infectivity.

3.
Virology Journal ; 19(1):227, 2022.
Article in English | MEDLINE | ID: covidwho-2196346

ABSTRACT

BACKGROUND: The paucity of SARS-CoV-2-specific virulence factors has greatly hampered the therapeutic management of patients with COVID-19 disease. Although available vaccines and approved therapies have shown tremendous benefits, the continuous emergence of new variants of SARS-CoV-2 and side effects of existing treatments continue to challenge therapy, necessitating the development of a novel effective therapy. We have previously shown that our developed novel single-stranded DNA aptamers not only target the trimer S protein of SARS-CoV-2, but also block the interaction between ACE2 receptors and trimer S protein of Wuhan origin, Delta, Delta plus, Alpha, Lambda, Mu, and Omicron variants of SARS-CoV-2. We herein performed in vivo experiments that administer the aptamer to the lungs by intubation as well as in vitro studies utilizing PBMCs to prove the efficacy and safety of our most effective aptamer, AYA2012004_L.

6.
Journal of Eastern European and Central Asian Research ; 9(4):605-616, 2022.
Article in English | Web of Science | ID: covidwho-2072268

ABSTRACT

This paper aims to empirically substantiate the poverty-benefit effects of the integration of the three rural sector industries in China. The study results show that the integration of three rural industries has a significant poverty-benefiting impact. The heterogeneity analysis shows that the age, gender, education level, and region of the household head also have a certain degree of influence on the poverty-benefit effect of the integration of the three rural industries. The study of the poverty-benefit impacts of the integration of the three rural industries can provide theoretical support for China to consolidate its poverty-eradication achievements, promote the integration of the three rural industries, and comprehensively promote rural revitalization and accelerate agricultural and rural modernization. At the same time, China's experience also has implications for developing rural industrial integration in other countries.

7.
Chest ; 162(4):A432-A433, 2022.
Article in English | EMBASE | ID: covidwho-2060596

ABSTRACT

SESSION TITLE: COVID-19: Other Considerations in Management SESSION TYPE: Original Investigations PRESENTED ON: 10/18/2022 02:45 pm - 03:45 pm PURPOSE: Since its emergence in December 2019, severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) has spread across the world, claiming millions of lives. With the publication of RECOVERY trial and REMAP-CAP trial, tocilizumab is recommended as additional therapy in select COVID populations by various professional societies. Although not observed initially in several randomized trials, concerns regarding serious secondary infections have been raised. Hereby, we seek to describe the epidemiology of infectious complications after tocilizumab in COVID patients admitted to a tertiary community hospital and to determine related risk factors for infections. METHODS: A retrospective cohort study was conducted among COVID patients requiring noninvasive or invasive ventilation who received tocilizumab at our hospital between June 2020 to December 2021. We define infectious complications as positive culture grown on a specimen that was also treated with antibiotics by the primary team. Baseline demographics and laboratory values are obtained through electronic medical records. Continuous outcomes are analyzed with parametric and non-parametric testing. Categorical variables are analyzed using the Chi-Square test. Risk factors are identified through Probit regression analysis and stepwise analysis. Statistics are performed using SPSS and STATA. RESULTS: 52 patients are identified with a median age of 63 and 46.2% female sex. Median hospital admission time since COVID diagnosis is 2 days and median tocilizumab administered time is 6.5 days. Common comorbidities include hypertension (63.5%), hyperlipidemia (50%) and diabetes (44.2%). Infectious complications are documented in 30 patients (57.7%), with 29 episodes of pneumonia, 7 episodes of urinary tract infection, and 4 episodes of bacteremia. Common organisms include MSSA (21%), Pseudomonas aeruginosa (19%), Klebsiella species (13%) and MRSA (5%). There are 9 cases of multidrug-resistant bacterial infection and 3 episodes of invasive fungal infection (1 Candidemia and 2 invasive aspergilloses). 22 patients (43.3%) died in the hospital before discharge with a median alive time after tocilizumab of 16.5 days. Hyperglycemia on admission (defined as a random glucose >200 mg/dl), hypertension and antibiotic use before tocilizumab are independent risk factors associated with infectious complications during regression analysis. Age >65 is the single most significant factor associated with death in the hospital. CONCLUSIONS: In real-world experience, infectious complications are not uncommon in COVID patients who receive tocilizumab. Our analyses show that potential risk factors for developing infections include a history of hypertension, hyperglycemia on admission and antibiotic use before tocilizumab. CLINICAL IMPLICATIONS: More rigorous criteria in patient selection and patient monitoring should be explored in future trials involving tocilizumab in COVID patients. DISCLOSURES: No relevant relationships by Zauraiz Anjum No relevant relationships by Ming-Yan Chow No relevant relationships by Ahmed Elkhapery No relevant relationships by Hafsa Faisal No relevant relationships by Lakshmi G Nair No relevant relationships by Charoo Iyer No relevant relationships by Hongli Liu No relevant relationships by Chengu Niu No relevant relationships by Kaiwen Zhu

8.
Journal of Eastern European and Central Asian Research ; 9(4):628-637, 2022.
Article in English | Web of Science | ID: covidwho-2044261

ABSTRACT

This paper presents an empirical analysis of the relationship between human capital and rural laborers' willingness to return to their hometowns based on the moderating effect of identity in China. The results show that the level of human capital significantly affects the willingness of the mobile population to return to their hometowns, but this effect is reversed, i.e., the increase in the level of human capital reduces the willingness of rural laborers to return to their hometowns. The urban identity of rural laborers after flowing into cities has a significant positive moderating effect on their willingness to return to their hometowns. Improving the carrying capacity of economic development in rural areas, further strengthening infrastructure construction in rural areas to provide the material basis for rural revitalization and labor force return, and at the same time strengthening the education and training of farmers to enhance their main status is recommended.

9.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2009574

ABSTRACT

Background: Pathological complete response (pCR) is associated with improved prognosis in triple-negative breast cancer (TNBC). Anlotinib, a novel multi-target tyrosine kinase inhibitor that effectively inhibits VEGFR, FGFR, c-KIT, c-MET, and RET, monotherapy has been proven effective in HER-2 negative metastatic breast cancer, but its efficacy in early-stage TNBC is unknown. This phase 2 study aims to evaluate the efficacy and safety of adding anlotinib to neoadjuvant chemotherapy in patients (pts) with primary TNBC. Methods: Pts with clinical stage II/III TNBC were to be treated with 5 cycles of anlotinib (12mg, d1-14, q3w) plus 6 cycles of taxanes (docetaxel 75 mg/m2 or nab-paclitaxel 260 mg/m2, d1, q3w) and lobaplatin (30 mg/m2, d1, q3w), followed by surgery. The primary endpoint was the total pCR (tpCR;ypT0/is ypN0). A Simon's two-stage optimum design was used, and > 5 of 11 pts were required to achieve tpCR in the first stage, with a pre-specified tpCR rate of 54.5% before proceeding to the second stage. A total of 31 participants was required for the study. Results: Six out of 11 pts achieved tpCR in the first stage, reaching the threshold for the second stage. From Jan 2021 to Jan 2022, a total of 22 pts were enrolled and 12 received surgery after the completion of neoadjuvant therapy, but a total of 2 pts withdrew from the study due to the COVID-19 pandemic or serious adverse events. Of the 22 eligible pts, the median age was 49 years (range, 29-64), 64% were postmenopausal, and 73% were nodal involved. At the time of surgery, 58.3% (7/12) achieved tpCR. Of the 9 pts with the node-positive disease at diagnosis, 88.9% (8/9) became ypN0. The results of FUSCC TNBC classification (IHC-based) revealed the tpCR rates were 57.1% (4/7), 100% (3/3), and 0% (0/2) for BLIS subtype, IM subtype and LAR/unknown subtypes, respectively. Biomarker analysis showed the tpCR rates were 100% (3/3) and 100% (4/4) in patients with gBRCA1 mutation and MYC amplification, respectively. The most common grade 3 or 4 treatment-related adverse events were leucopenia (6/22, 27%), neutropenia (6/22, 27%), anemia (5/22, 23%), decreased appetite (5/22, 23%), hypertension (2/22, 9%), ALT increased (1/22, 5%) and oral mucositis (1/22, 5%). No treatment-related deaths occurred. The trial is ongoing. Conclusions: The addition of anlotinib to neoadjuvant chemotherapy showed manageable toxicity and promising antitumor activity for patients with early-stage TNBC.

10.
Journal of University of Science and Technology of China ; 50(8):1124-1133, 2020.
Article in Chinese | Scopus | ID: covidwho-1875879

ABSTRACT

The traditional SEIR (susceptible-exposed-infectious-recovered/removed) model is a simplified dynamical predictive model which does not consider the impact of changes in the anti-epidemic policy. We take the US anti-epidemic policy and the incubation period characteristic of COVID-19 into account to propose the TRP-SEAMRD(test-restricted-phased SEAMRD) model for the pandemic in US. The model fits well with the figures of COVID-19 infections, recovery and death in the United States during February ~ August 2020. According to the data generated from the model, some of the characteristics of COVID- 19 can be ed. Based on the TRP-SEAMRD model, we can analyze the impact of the improper anti¬epidemic policy at the early stage of the epidemic. The effect of the subsequent “stay at home”epidemic controlling measures is also considered and analyzed. Finally, future development of the pandemic in the US under different degrees of social control is simulated,offering a reference for formulating scientific anti¬epidemic measures. © 2020, Editorial Department of Journal of University of Science and Technology of China. All rights reserved.

11.
Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi ; 57(3): 282-288, 2022 Mar 07.
Article in Chinese | MEDLINE | ID: covidwho-1760874

ABSTRACT

Objective: To analyze the correlation between loss of smell/taste and the number of real confirmed cases of coronavirus disease 2019 (COVID-19) worldwide based on Google Trends data, and to explore the guiding role of smell/taste loss for the COVID-19 prevention and control. Methods: "Loss of smell" and "loss of taste" related keywords were searched in the Google Trends platform, the data were obtained from Jan. 1 2019 to Jul. 11 2021. The daily and newly confirmed COVID-19 case number were collected from World Health Organization (WHO) since Dec. 30 2019. All data were statistically analyzed by SPSS 23.0 software. The correlation was finally tested by Spearman correlation analysis. Results: A total of data from 80 weeks were collected. The retrospective analysis was performed on the new trend of COVID-19 confirmed cases in a total of 186 292 441 cases worldwide. Since the epidemic of COVID-19 was recorded on the WHO website, the relative searches related to loss of smell/taste in the Google Trends platform had been increasing globally. The global relative search volumes of "loss of smell" and "loss of taste" on Google Trends was 10.23±2.58 and 16.33±2.47 before the record of epidemic while 80.25±39.81 and 80.45±40.04 after (t value was 8.67, 14.43, respectively, both P<0.001). In the United States and India, the relative searches for "loss of smell" and "loss of taste" after the record of epidemic were also much higher than before (all P<0.001). The correlation coefficients between the trend of weekly new COVID-19 cases and the Google Trends of "loss of smell" in the global, United States, and India was 0.53, 0.76, and 0.82 respectively (all P<0.001), the correlation coefficients with Google Trends of "loss of taste" was 0.54, 0.78, and 0.82 respectively (all P<0.001). The lowest and highest point of loss of smell/taste search curves of Google Trends in different periods appeared 7 to 14 days earlier than that of the weekly newly COVID-19 confirmed cases curves, respectively. Conclusions: There is a significant positive correlation between the number of newly confirmed cases of COVID-19 worldwide and the amount of keywords, such as "loss of smell" and "loss of taste", retrieved in Google Trends. The trend of big data based on Google Trends might predict the outbreak trend of COVID-19 in advance.


Subject(s)
Ageusia , COVID-19 , Big Data , Disease Outbreaks , Humans , Internet , Retrospective Studies , Smell , United States
12.
Chemical Senses ; 46, 2021.
Article in English | EMBASE | ID: covidwho-1665915

ABSTRACT

Objectives: In this study, we propose to mine the GCCR database to capture the features of the prior diseases on the change of taste and smell in the COVID- 19 patients. Methods: The study information and detailed research plan are available on OSF individual homepage (https:// osf.io/ax3p5/). We used mixed linear regression models to test our hypothesis and the p-value of interaction will be concerned. Results: Overall, we got the final sample (n=26468), the final samples included 12438 participants, who were diagnosed with COVID-19. In the 12438 participants, the prior conditions were following: 1985 patients reported high blood pressure, 2046 patients reported obesity, 1368 patients reported they had lung disease (asthma/COPD), 1104 patients reported they had chronic sinus problems, 3562 patients reported they had seasonal allergies/hay fever. Multivariate regression analysis found that for patients with chronic sinusitis with COVID-19, the degree of smell and taste disorder is higher than that of patients with non-chronic sinusitis. Chronic sinusitis and COVID- 19 have an interactive effect on smell disorder (P<0.05), the status of state and other prior diseases will overestimate. The impact of COVID-19 on the degree of smell/taste loss, the recovery degree of smell/taste of patients with seasonal allergies/hay fever, were statistically significant in the three calibration models (P<0.05). Conclusion: COVID-19 participants who had more or more than one prior disease, those participants have worse smell/taste loss than those participants who had not the prior disease. This study may help us understand the possible involvement of comorbidities in COVID-19 patients who lose smell or taste and raise the concern of chemosensory dysfunction and commodity with COVID-19.

13.
12th International Conference on Broadband Communications, Networks, and Systems, BROADNETS 2021 ; 413 LNICST:112-131, 2022.
Article in English | Scopus | ID: covidwho-1626217

ABSTRACT

Educational timetabling is a fundamental problem impacting schools and universities’ effective operation in many aspects. Different priorities for constraints in different educational institutions result in the scarcity of universal approaches to the problems. Recently, COVID-19 crisis causes the transformation of traditional classroom teaching protocols, which challenge traditional educational timetabling. Especially for examination timetabling problems, as the major hard constraints change, such as unlimited room capacity, non-invigilator and diverse exam durations, the problem circumstance varies. Based on a scenario of a local university, this research proposes a conceptual model of the online examination timetabling problem and presents a conflict table for constraint handling. A modified Artificial Bee Colony algorithm is applied to the proposed model. The proposed approach is simulated with a real case containing 16,246 exam items covering 9,366 students and 209 courses. The experimental results indicate that the proposed approach can satisfy every hard constraint and minimise the soft constraint violation. Compared to the traditional constraint programming method, the proposed approach is more effective and can provide more balanced solutions for the online examination timetabling problems. © 2022, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

15.
37th Annual Association of Researchers in Construction Management Conference, ARCOM 2021 ; : 56-65, 2021.
Article in English | Scopus | ID: covidwho-1507575

ABSTRACT

The spread of COVID-19 has caused an increasing demand for public medical room. Cases of Chinese Huoshenshan Hospital and mobile cabin hospitals proved the effectiveness of constructing emergent medical buildings. However, these cases, usually with strict requirements on technology and infrastructure, are hard to implement in developing rural regions. Therefore, there is an urgent need for adapting industrial construction to the rural situation. This research introduced an adaptive approach for rural projects delivery during COVID-19. It is based on a longitudinal case study, recording and analysing the construction process of a village centre in Jiangsu, China, from 2019 to 2020. By comparing the construction process of actual operation and traditional method, the advantages in a shorter building period and lower labour density were verified. This research pointed out neglected risks in developing countries and provided a practical construction approach in these areas. It supported the prevention of COVID-19 global wide. © 2021 Proceedings of the 37th Annual ARCOM Conference, ARCOM 2021. All Rights Reserved.

16.
International Journal of Computational Intelligence Systems ; 14(1):1155-1169, 2021.
Article in English | Web of Science | ID: covidwho-1278348

ABSTRACT

In this paper, a Markov decision process (MDP) model was established to study emergency medical material scheduling strategies for public health emergencies such as COVID-19.Within the constraints of dispatchable supplies, the priority of each medical node complicates the problem of deciding which hospital node supplies to respond to. The model assumes that the probability of events in the initial time period is in line with the Poisson distribution and that the location and priority of each hospital node is known when the material demand is initiated. The priority of hospital nodes is divided into four categories: critical, urgent, priority, and routine. There are several patients with different priorities in a hospital node: critical illness, severe illness, and mild illness. The priority of the hospital node is determined by the overall situation of the hospital patients. The MDP model established in this paper gives how to dispatch limited emergency medical supplies in the dispatching center to make the service rate of the whole system the best. The efficiency of the dispatching center in responding to the material needs of the hospital node depends on the constraints of the number and response time of different priority patients at the node. The maximum effect iterative dynamic model was simulated by simulation experiment and compared with the simulation effect under general conditions, so as to observe whether the model improved the system service rate. (C) 2021 The Authors. Published by Atlantis Press B.V.

17.
Acs Applied Polymer Materials ; 3(4):1747-1755, 2021.
Article in English | Web of Science | ID: covidwho-1253886

ABSTRACT

Quick fever screening at a mass scale is proven effective during a pandemic to single out the ones with suspected symptoms of infectious diseases. However, achieving affordable and real-time fever alert at an individual level, although more preferable, remains elusive. Herein, we report an inexpensive and highly sensitive fever detector, which possesses a sharp color transition temperature window tailor-tuned for fever screening. The sensing component of the detector is rationally designed thermoresponsive agarose@poly(N-isopropylacrylamide)-co-acrylamide hydrogel. The hydrogel turns from transparent to opaque white when its temperature is higher than its cloud point. As a proof of concept of its practical applicability, a wearable fever monitoring device was fabricated in the form of a wristband. When the wrist temperature is higher than the threshold of a human fever, the device shows a remarkable color change, alerting an elevated body temperature. The wearable detector provides a promising strategy for real-time fever alert monitoring and is capable of making contributions to inhibit the spread of infectious diseases during a pandemic.

18.
Aging-Us ; 13(7):9253-9264, 2021.
Article in English | Web of Science | ID: covidwho-1250893

ABSTRACT

This study analyzed the effect of Arbidol, a broad-spectrum antiviral compound, on the outcomes of COVID-19 patients. Records of 252 COVID-19 patients were retrospectively analyzed from February 13 to February 29, 2020 in 4 inpatient wards in the Cancer Center, Union Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China. The rate of clinical improvement was significantly greater among patients treated with Arbidol than among those who did not receive Arbidol (86.8% vs. 54.2%). In moderately and severely ill patients, the clinical improvement rates in the Arbidol group were 95.6% and 81.7%, respectively, which was significantly higher than in the no-Arbidol group (66.6% and 53.8%). Among critically ill patients, however, there was no significant difference. The levels of hypersensitive C-reactive protein, lactate dehydrogenase, D-dimer, IL-6, and IL-10 were increased in non-improved patients but declined during treatment in the improved patients. This suggests these mediators are associated with the disease severity and could potentially serve as prognostic markers. Moreover, our data demonstrate that Arbidol is effective in the treatment of COVID-19 patients and may serve as a cost-effective antiviral treatment strategy for patients with moderate to severe COVID-19 symptoms.

19.
Acta Medica Mediterranea ; 37(1):509-512, 2021.
Article in English | Scopus | ID: covidwho-1134614

ABSTRACT

Introduction: This study aimed to understand the clinical characteristics of patients with novel coronavirus pneumonia (2019-nCoV) combined with diarrhea and to explore its pathogenic mechanism. Materials and methods: The clinical data of 108 2019-nCoV patients (16 with diarrhea and 92 without diarrhea) were retrospectively analyzed. Results: Sixteen 2019-nCoV patients (14.8%) had diarrhea. This was watery stool, 2–5 times a day. The volume was about 150-200 mL/time, lasting 2-7 days, but the patients had no obvious abdominal pain, abdominal distension, digestive tract symptoms, or dehydration. Routine stool examination showed no obvious abnormal changes. The number of patients with or without diarrhea who had a history of contact with the epidemic area in Wuhan was seven (43.8%) and 48 (52.2%), respectively, P = 0.53. The average length of hospital stay for the group with diarrhea was 15.7 days, and 16.0 days for the group without diarrhea. The number of critically ill patients in the two groups was two (12.5%) and 12 (13%), respectively. Both groups of patients had symptoms such as fever, cough and sputum, chest tightness, and shortness of breath (P>0.1 for all). Both groups of patients had abnormal liver function, myocardial damage (increased LDH/HBDH, increased CK/CK-MB), increased CRP and interleukins, and the number of patients with decreased white blood cells, platelets, and lymphocytes in the two groups was similar (P>0.1). Conclusion: The mechanism of 2019-nCoV causing diarrhea may be that the virus enters the host cell by S1-protein binding to the human ACE2 receptor and infects the epithelial cells of the digestive tract to cause watery diarrhea, but the symptoms are mild, and the duration is short. The virus exists and replicates in the digestive tract;therefore, there is the possibility of a fecal-oral route of transmission. © 2021 A. CARBONE Editore. All rights reserved.

20.
Chinese Journal of Laboratory Medicine ; 43(11):1100-1105, 2020.
Article in Chinese | EMBASE | ID: covidwho-993617

ABSTRACT

Objective: To evaluate the performance of laboratories for nucleic acid test of the novel coronavirus in China by external quality assessment (EQA). Methods: The specially -treated virus RNA, extracted from cultured novel coronavirus, was used as EQA samples. The inactivated clinical samples of influenza A virus, influenza B virus, and respiratory syncytial virus were used as negative samples. Then, the applicability, homogeneity and stability of the EQA samples were evaluated. The panels consisted of 6 coded samples (ungrouped in the first round/second grouped in the second round) were distributed to participants by cold chain express delivery and the testing information and results were summarized and evaluated. Results: The EQA samples are suitable for the mainstream nucleic acid test reagents on the market. Homogeneity and stability meet the requirements of the China National Accreditation Service for conformity Assessment. For the first-round and the second-round, 243 and 60 valid lab results were submitted respectively. The laboratories with completely correct results were 98.8% (240/243) and 73.3% (44/60), and those with unqualified results were 1.2% (3/243) and 26.7% (16/60). The overall coincidence rate of the first and second samples was 99.8% (1455/1458) and 94.7% (341/360), respectively. The false-positive rates were 0.1% (1/729) and 2.5% (3/120), and the false-negative rates were 0.3% (2/729) and 6.7% (16/240). Conclusion: Participating Laboratories have a good overall ability to test the new coronavirus nucleic acid, and the false negative results are the main problem affecting the accuracy of testing. Before routine use of related reagents, laboratories should verify and compare the performance of reagents from different manufacturers.

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