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1.
Drug and Alcohol Review ; 41:S7-S7, 2022.
Article in English | Web of Science | ID: covidwho-2068092
2.
Drug and Alcohol Review ; 41:S7-S8, 2022.
Article in English | Web of Science | ID: covidwho-2067813
4.
Journal of Clinical Oncology ; 40(16), 2022.
Article in English | EMBASE | ID: covidwho-2005664

ABSTRACT

Background: GC012F is a B cell maturation antigen (BCMA)/CD19 dual-targeting CAR-T developed on the novel FasT CAR-T platform with overnight manufacturing and designed to improve depth of response and efficacy. Data was presented at ASCO and EHA 2021 for initial 19 pts. We present updated data for study (NCT04236011;NCT04182581) with longer follow up and 9 additional pts treated (n = 28) in 3 different dose levels. Methods: From October 2019 to November 2021, 28 heavily pretreated RRMM pts (age 27-76) median of 5 prior lines (range 2-9) were treated on a single-arm, open label, multicenter Investigator Initiated Trial receiving a single infusion of GC012F. 89.3% (25/ 28) were high risk (HR- mSMART), 8 pts had EM disease, 3 had never achieved a CR including after transplant, 1 pts presented with plasma cell leukemia, 24/28 pts were refractory to last therapy, 3 pts primary refractory. 9/28 pts had received prior anti-CD38, 27/28 pts prior IMiDs. 26/28 pts were refractory to PI, 26/28 pts to IMiDs. After lymphodepletion over 2-3 days (30 mg/m2/d, 300mg/ m2/d Flu/Cy) GC012F was administered as single infusion at 3 dose levels: 1x105/kg (DL1) n = 2, 2x105/kg (DL2) n = 10 and 3x105/kg (DL3) n = 16. Results: As of Jan 26th 2022, 28 pts - median follow-up (f/ u) 6.3 mths (1.8-29.9) - had been evaluated for response. Overall response rate (ORR) in DL1 was 100% (2/2)- DL 2 -80% (8/10) DL 3 -93.8% (15/16) with 27 pts MRD negative by flow cytometry (sensitivity 10-4-10-6). 100% of MRD assessable pts (27/27) achieved MRD negativity. One patient out of 28 could not get assessed. At d28, 21/24 assessable patients were MRD negative (81.5%), 4/ 28 pts could not get d28 MRD assessment f/u due to COVID-19 restrictions however were assessed at a later timepoint. To date best response is MRD- sCR in 21/28 patients(75.0%) across all dose levels. Some pts after short f/u show responses that are still deepening. Cytokine Release Syndrome (CRS) was mostly low grade: gr 0 n = 3 (10.7%), gr 1-2 n = 23 (82.1%), gr 3 n = 2 (7.1%) - no gr 4/5 CRS and no ICANs were observed (Graded by ASBMT criteria). Median duration of CRS was 3 d (1-8 d). PK results showed no difference amongst dose levels DL1 to DL3. Overall, CAR-T median Tmax was 10 d (range 8-14 d), median peak copy number (Cmax) was 97009 (16,011-374,346) copies /μg DNA with long duration of persistence of up to d793 (data cut-off). CAR-T geometric mean AUC0-28 for DL1, DL2 and DL3 were 468863, 631540 and 581620 copies/μg DNA×day, respectively. Pts continue to be monitored for safety and efficacy including DOR. Conclusions: BCMA-CD19 dual FasT CAR-T GC012F continues to provide deep and durable responses with a favorable safety profile in additional RRMM pts across all dose levels demonstrating a very high MRD negativity rate including in pts refractory to anti-CD38, PI and IMIDs. GC012F is currently being studied in earlier lines of therapy as well as additional indications.

5.
Zhonghua Yi Xue Za Zhi ; 102(30): 2315-2318, 2022 Aug 16.
Article in Chinese | MEDLINE | ID: covidwho-1994236

ABSTRACT

On May 13, 2022, World Health Organization(WHO) Position Paper on Influenza Vaccine (2022 edition) was published. This position paper updates information on influenza epidemiology, high risk population, the impact of immunization on disease, influenza vaccines and effectiveness and safety, and propose WHO's position and recommendation that all countries should consider implementing seasonal influenza vaccine immunization programmes to prepare for an influenza pandemic. In addition, it proposes that the influenza surveillance platform can be integrated with the surveillance of other respiratory viruses, such as SARS-CoV-2 and Respiratory Syncytial Virus. This position paper has some implications for the prevention and control of influenza and other respiratory infectious diseases in China: (1) Optimize influenza vaccine policies to facilitate the implementation of immunization services; (2) Influenza prevention and control should from the perspective of Population Medicine focus on the individual and community to integrate with "Promotion, Prevention, Diagnosis, Control, Treatment, Rehabilitation"; (3) Incorporate prevention and control of other respiratory infectious diseases such as influenza, COVID-19, respiratory syncytial virus and adenovirus, and intelligently monitor by integrating multi-channel data to achieve the goal of co-prevention and control of multiple diseases.


Subject(s)
COVID-19 , Influenza Vaccines , Influenza, Human , Humans , Influenza, Human/epidemiology , Influenza, Human/prevention & control , SARS-CoV-2 , World Health Organization
6.
Cancer Research ; 82(12), 2022.
Article in English | EMBASE | ID: covidwho-1986483

ABSTRACT

Recent clinical observations that some coronavirus infections induced complete remissions in lymphoma patients emphasized again the potential of cancer virotherapy. Infection of cancer cells with oncolytic viruses reshapes the tumor microenvironment by activating anti-viral and anti-tumor immunity. A phase 1 clinical trial using oncolytic adenovirus Delta-24-RGD (DNX-2401) to treat recurrent malignant gliomas demonstrated activation of CD8+ T-cells and significant clinical benefits for a subset of patients. However, both anti-virus and anti-tumor immune responses are contingent on the activation of respective clones of CD8+ T-cells, which compete for clonal expansion. Thus, overexpansion of T-cells against viral antigens reduces the frequency of subdominant clones against tumor antigens. We hypothesized that inducing immune tolerance for viral antigens will decrease anti-viral immunity and in turn derepress anti-tumor immunity, resulting in enhanced efficacy of cancer virotherapy. In this work, we used nanoparticles encapsulating adenoviral antigens E1A, E1B and hexon that distributed to liver resident macrophages (P<0.0001) and induced peripheral immune tolerance. Functional experiments to restimulate immune cells with viral or tumor antigens showed that injection of nanoparticles induced virus-specific immune tolerance and redirected the focus of the immune response towards tumor peptides as measured by interferon-gamma secretion (P<0.0001). Co-culture experiments also showed increased activation of immune cells against fixed tumor cells after nanoparticle treatment (P<0.0001). Reduction of virus-specific T-cells and concurrent expansion of tumor-specific T-cell clones were further confirmed with E1A or OVA tetramers (P<0.05). Flow cytometry analysis suggested increased anti-tumor responses were due to differences in T-cell clones and not due to other immune populations including natural killer cells or myeloid-derived suppressor cells (P=0.3). Importantly, virotherapy in combination with nanoparticle-induced immune tolerance towards viral antigens in tumor-bearing mice increased the overall survival and doubled the percentage of long-term survivors compared to virus treatment alone. Our data should propel the development of a future clinical trial aiming to maximize the potential of anti-tumor immunity during cancer virotherapies.

7.
Chinese Physics B ; 31(7):12, 2022.
Article in English | Web of Science | ID: covidwho-1927259

ABSTRACT

Under the background of Covid-19 sweeping the world, safe and reasonable passenger flow management strategy in subway stations is an effective means to prevent the spread of virus. Based on the social force model and the minimum cost model, the movement and path selection behavior of passengers in the subway station are modeled, and a strategy for passenger flow management to maintain a safe social distance is put forward. Take Qingdao Jinggangshan Road subway station of China as the simulation scene, the validity of the simulation model is verified by comparing the measured value and simulation value of the time required for passengers from getting off the train to the ticket gate. Simulation results indicate that controlling the time interval between incoming passengers at the entrance can effectively control the social distance between passengers and reduce the risk of epidemic infection. By comparing the evacuation process of passengers under different initial densities, it is found that the greater the initial density of passengers is, the longer the passengers are at risk social distance. In the process of passenger emergency evacuation, the stairs/escalators and ticket gates are bottleneck areas with high concentration of passenger density, which should be strictly disinfected many times on the basis of strictly checking the health code of incoming passengers and controlling the arrival time interval. The simulation results of this paper verify the harmfulness of passenger emergency evacuation without protective measures, and provide theoretical support for the operation and management of subway station under the epidemic situation.

8.
Value in Health ; 25(7):S467, 2022.
Article in English | EMBASE | ID: covidwho-1914756

ABSTRACT

Objectives: Price and volume changing trends of medicines has become a focus of attention from a global perspective. This is especially true in China because of a series of drug reforms initiated in recent years, such as nationwide bulk procurement of medicines. This study aims to compile the drug purchase price index and volume index, which is applied to present their dynamic changes of prices and volumes and to reflect overall supply of medicines in Shanghai. Methods: Based on the database of Shanghai Sunshine Medical Procurement All-In-One, Laspeyres price index and Pascal purchase volume index was calculated monthly and annually by using Western medicines purchase records during 2018 and 2020, which were uploaded from all the medical institutions in Shanghai. Results: Compared with the previous year, the price index of medicines and those covered by the basic medical insurance schemes were 93.3 and 93.1 respectively in 2019, while they were 95.8 and 95.6 in 2020. Monthly price index declined significantly in March 2019, April 2020 and November 2020, for the new purchase prices were implemented in these months. Meanwhile, annual procurement volume had limited changes with monthly fluctuations. Prices of those drugs not covered by the medical insurance fell slightly, and their volumes dropped sharply after the COVID-19 outbreak. Conclusions: Prices of medicines maintained a downward trend in stability with limited procurement volume changes in Shanghai. The empirical case of price index and volume index of medicines in Shanghai has verified the feasibility of its application in drug price monitoring and management. It has also provided strong evidence for policy decision-making and evaluation.

9.
Sage Open ; 12(2):15, 2022.
Article in English | English Web of Science | ID: covidwho-1883492

ABSTRACT

The problem motivating this study is the fact that almost 19.70 million university students in China have been required to engage in e-learning under the government's initiative of "Classes are Suspended, yet Learning is still Ongoing" during the COVID-19 epidemic, coupled with varied responses, uneven adoption of e-learning platforms and varying degrees of satisfaction toward them. Using the online database adoption and satisfaction (ODAS) model, this study examines the determinants which impact university students' adoption of and satisfaction with e-learning platforms at this particular time in China. The ODAS model was also cross-validated using gender as a moderating variable. A purposive sampling procedure was used to survey a total of 1,136 students from six universities in five provinces or municipalities of China. The data for this survey were estimated using the Rasch model and structural equation modeling. Results exhibit that students' adoption of and satisfaction with e-learning platforms were significantly measured by their computer self-efficacy, their intention to use e-learning platforms, and their perceived ease of use and perceived usefulness of these platforms, while the relationships among these components were moderated by gender differences. This empirically-based cross-validation of the ODAS provides recommendations for future studies, including practical implications for e-learning. This current study contributes to the body of knowledge in evaluating e-learning platforms during the COVID-19 epidemic.

10.
Frontiers in Earth Science ; 10:14, 2022.
Article in English | Web of Science | ID: covidwho-1869357

ABSTRACT

The research of atmospheric aerosol in mountain glacier areas has attracted more and more people's attention. For the first time, a field observation study of total suspended particles (TSPs) for four seasons from September 2019 to August 2020 was carried out at the Tianshan Glaciological Station in the source area of Urumqi River, East Tianshan Mountains, China. The TSPs presented typical seasonal characteristics of high in autumn and low in winter, with the annual average value of 181 +/- 170 mu g m(-3). Concentrations of Ca2+, SO42-, NO3-, Cl-, NH4+ and K+, OC, EC were elevated in autumn. The influence of stationary source emissions was stronger than mobile sources, which was explained by the average ratio of NO3-/SO42- (0.31 +/- 0.17). The concentration of secondary organic carbon (SOC) was higher in summer and autumn, especially in summer, indicating that secondary formation processes of organic aerosols were frequent in summer. Impact of fossil fuel combustion sources were evident over the Glaciers, corroborated by the diagnostic mass ratios of OC/EC (0-21.4, 3.38) and K+/EC (0-0.31, 0.08). The factor analysis illustrated that aerosols were mainly affected by rock salt, dust, coal combustion, and automobile exhaust. The local sources made significant contributions to TSPs in the source of Urumqi River by the results of Results of Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and potential source contribution function (PSCF).

11.
19th IEEE International Symposium on Biomedical Imaging, ISBI 2022 ; 2022-March, 2022.
Article in English | Scopus | ID: covidwho-1846117

ABSTRACT

The spread of the novel coronavirus disease 2019 (COVID-19) has claimed millions of lives. Automatic segmentation of lesions from CT images can assist doctors with screening, treatment, and monitoring. However, accurate segmentation of lesions from CT images can be very challenging due to data and model limitations. Recently, Transformer-based networks have attracted a lot of attention in the area of computer vision, as Transformer outperforms CNN at a bunch of tasks. In this work, we propose a novel network structure that combines CNN and Transformer for the segmentation of COVID-19 lesions. We further propose an efficient semi-supervised learning framework to address the shortage of labeled data. Extensive experiments showed that our proposed network outperforms most existing networks and the semi-supervised learning framework can outperform the base network by 3.0% and 8.2% in terms of Dice coefficient and sensitivity. © 2022 IEEE.

12.
American Journal of Kidney Diseases ; 77(4):617, 2021.
Article in English | EMBASE | ID: covidwho-1768909

ABSTRACT

At Dialysis Clinic Inc., a national dialysis provider, we assessed the impact of COVID-19 on delivery of care by comparing the risk of mortality and hospitalization month-over-month over three years. Monthly rates for all-cause mortality (with Poisson regression) and hospitalization (with negative binomial regression) were calculated per 1000 patient months for in-center hemodialysis (ICHD) patients for calendar months Jan-Sept for 2018, 2019 and 2020, adjusted for age and race. The analysis was repeated with and without patients with COVID-19. During Jan-Sept 2020 there were 1,743 deaths in 15,336 non-COVID-19 patients and 204 deaths in 995 COVID-19 patients. A nonsignificant increased monthly mortality rate was observed in April 2020 [15.79 (13.83, 18.02)] relative to other months in 2018, 2019 and 2020 (Figure). Excluding patients after COVID-19 diagnosis, the April 2020 monthly death rate decreased [12.16 (10.45, 14.15)] in alignment with other months/years. During Jan-Sept 2020 there were 14,531 hospitalizations in 15,336 non-COVID-19 patients and 976 hospitalizations in 995 COVID-19 patients. There was a significant decrease in monthly hospitalization rate in April 2020 [111.39 (105.08, 118.08)] (Figure) and a further significant decrease after excluding COVID-19 patients [98.07 (92.15, 104.38)] relative to other months in 2018, 2019, and 2020. During the COVID-19 pandemic ICHD patient monthly mortality rates did not differ significantly whereas hospitalization rates did decrease significantly during the month of April 2020 Despite lower hospitalization rates, outpatient care quality was sufficiently maintained to avoid increased non-COVID marginal mortality risk.

13.
Journal of Virology ; 96(1):11, 2022.
Article in English | Web of Science | ID: covidwho-1756184

ABSTRACT

Over the past 20 years, the severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV), and SARS-CoV-2 emerged, causing severe human respiratory diseases throughout the globe. Developing broad-spectrum drugs would be invaluable in responding to new, emerging coronaviruses and to address unmet urgent clinical needs. Main protease (Mpro;also known as 3CL(pro)) has a major role in the coronavirus life cycle and is one of the most important targets for anti-coronavirus agents. We show that a natural product, noncovalent inhibitor, shikonin, is a pan-main protease inhibitor of SARS-CoV-2, SARS-CoV, MERS-CoV, human coronavirus (HCoV)-HKU1, HCoV-NL63, and HCoV-229E with micromolar half maximal inhibitory concentration (IC50) values. Structures of the main protease of different coronavirus genus, SARS-CoV from the betacoronavirus genus and HCoV-NL63 from the alphacoronavirus genus, were determined by X-ray crystallography and revealed that the inhibitor interacts with key active site residues in a unique mode. The structure of the main protease inhibitor complex presents an opportunity to discover a novel series of broad-spectrum inhibitors. These data provide substantial evidence that shikonin and its derivatives may be effective against most coronaviruses as well as emerging coronaviruses of the future. Given the importance of the main protease for coronavirus therapeutic indication, insights from these studies should accelerate the development and design of safer and more effective antiviral agents. IMPORTANCE The current pandemic has created an urgent need for broad-spectrum inhibitors of SARS-CoV-2. The main protease is relatively conservative compared to the spike protein and, thus, is one of the most promising targets in developing anticoronavirus agents. We solved the crystal structures of the main protease of SARSCoV and HCoV-NL63 that bound to shikonin. The structures provide important insights, have broad implications for understanding the structural basis underlying enzyme activity, and can facilitate rational design of broad-spectrum anti-coronavirus ligands as new therapeutic agents.

14.
4th International Conference on Control in Technical Systems, CTS 2021 ; : 19-23, 2021.
Article in English | Scopus | ID: covidwho-1752339

ABSTRACT

In view of the COVID-19 pandemic and its highly infectious characteristic, traditional artificial diagnosis based on medical imaging, though capable of detecting pulmonary lesion in human body, is found of lower efficiency. Therefore, it is particularly urgent that we design a set of accurate and automatic pneumonia diagnosis methods with aid of artificial intelligence technology, so that pneumonia in patients can be diagnosed and treated early. This study first introduces DenseNet to the Convolutional Neural Network (CNN) structure to improve sharing of characteristic information of lung image in convolutional layers and thus obtain more accurate image features. Secondly, characteristics of pneumonia disease are discriminated rapidly using the Graphic Attention Network (GAT). The authors adopt the X-ray dataset in Radiological Society of North America (RSNA) Pneumonia Detection Challenge released by Kaggle to train and verify the network. According to experimental results, the accuracy of COVID-19 diagnosis and F-Score both reach 98%. The method provides CT doctors with an end-to-end deep learning technology for pneumonia diagnosis. © 2021 IEEE.

15.
30th International Joint Conference on Artificial Intelligence, IJCAI 2021 ; : 5016-5019, 2021.
Article in English | Scopus | ID: covidwho-1728511

ABSTRACT

The COVID-19 pandemic has disrupted the lives of millions across the globe. In Singapore, promoting safe distancing by managing crowds in public areas have been the cornerstone of containing the community spread of the virus. One of the most important solutions to maintain social distancing is to monitor the crowdedness of indoor and outdoor points of interest. Using Nanyang Technological University (NTU) as a testbed, we develop and deploy a platform that provides live and predicted crowd counts for key locations on campus to help users plan their trips in an informed manner, so as to mitigate the risk of community transmission. © 2021 International Joint Conferences on Artificial Intelligence. All rights reserved.

16.
International Journal of Distance Education Technologies ; 19(4):17, 2021.
Article in English | Web of Science | ID: covidwho-1580274

ABSTRACT

Many educational institutions have adopted e-learning methods during the COVID-19 pandemic to maintain school teaching activities. However, systematic research on e-learning effectiveness in such a crisis is quite insufficient. This study aims to explore the impact of e-learning quality on students' satisfaction during the pandemic in regard to academic achievement and behavioral intention. Through a questionnaire and semester score database, the relevant data of 683 students were collected and then analyzed by PLS-SEM. The result shows that instructor teaching quality and e-learning system quality influence students' academic achievement and behavioral intention through increasing students' e-learning satisfaction. E-learning system quality moderated the impact of instructor teaching quality on students' e-learning satisfaction. The findings of this study provide valuable insights into the comprehensive implementation of e-learning during a crisis.

17.
Manufacturing and Service Operations Management ; 23(6):1333-1353, 2021.
Article in English | Scopus | ID: covidwho-1562135

ABSTRACT

Problem definition: The lessons learned over decades of supply chain management provide an opportunity for stakeholders in complex systems, such as healthcare, to understand, evaluate, and improve their complicated and often inefficient ecosystems. Academic/practical relevance: The complexity in managing healthcare supply chains offers opportunities for important and impactful research avenues in key supply chain management areas such as coordination and integration (e.g., new care models), mass customization (e.g., the rise in precision medicine), and incentives (e.g., emerging reimbursement schemes), which might, in turn, provide insights relevant to traditional supply chains. We also put forward new perspectives for practice and possible research directions for the supply chain management community. Methodology: We provide a primer on supply chain thinking in healthcare, with a focus on healthcare delivery, by following a framework that is customer focused, systems based, and strategically orientated and that simultaneously considers clinical, operational, and financial dimensions. Our goal is to offer an understanding of how concepts and strategies in supply chain management can be applied and tailored to healthcare by considering the sector’s unique challenges and opportunities. Results: After identifying key healthcare stakeholders and their interactions, we discuss the main challenges facing healthcare services from a supply chain perspective and provide examples of how various supply chain strategies are being and can be used in healthcare. Managerial implications: By using supply chain thinking, healthcare organizations can decrease costs and improve the quality of care by uncovering, quantifying, and addressing inefficiencies. © 2020 INFORMS

18.
International Journal of Gynecological Cancer ; 31(Suppl 3):A173, 2021.
Article in English | ProQuest Central | ID: covidwho-1476721

ABSTRACT

Introduction/Background*We present a rare case of high-grade poorly differentiated sarcoma. Due to the advanced nature of the disease this presented significant challenges regarding surgical management.MethodologyA 67-year-old lady with previous caecal cancer presented with significant procidentia descending 4-5cm below the introitus, which was ulcerated and friable. The patient was diagnosed with Covid-19 infection prior to surgery resulting in delayed management and need for prolonged catheterisation due to tumour related urinary retention. Type 3 radical hysterectomy was performed after we devascularized the uterus by division of the uterine artery at origin- the uterus was completely inverted pulling the round ligament, ureters and iliac vessels. Given the fact that it was not clarified whether it is cervical or uterine malignancy and following the LACC trial, we completed all steps via laparoscopy and colpotomy was performed via a 10cm transverse suprabupic incision to avoid spillage.Result(s)*Histopathology indicated high-grade poorly differentiated sarcoma of unknown origin extending from beyond the cervix within the vaginal vault inwards, enveloping the cervical and lower uterine walls. The endometrium was inactive, the myometrium did not contain any leiomyomatous or stromal lesion and both adnexa were normal. Catheter was removed 4 months after her presentation.Conclusion*The cornerstone of the optimal management of such rare and complicated cases is a combination of continuous multidisciplinary team consensus, precise surgical management and close surveillance of the patient.

19.
35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence ; 35:16044-16047, 2021.
Article in English | Web of Science | ID: covidwho-1436787

ABSTRACT

The COVID-19 pandemic is one of the most severe challenges the world faces today. In order to contain the transmission of COVID-19, people around the world have been advised to practise social distancing. However, maintaining social distance is a challenging problem, as we often do not know beforehand how crowded the places we intend to visit are. In this paper, we demonstrate crowded.sg, an AI-empowered platform that leverages on Unmanned Aerial Vehicles (UAVs), crowdsourced images, and computer vision techniques to provide social distancing decision support.

20.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae ; 41(8):3001-3011, 2021.
Article in Chinese | Scopus | ID: covidwho-1380131

ABSTRACT

The study focuses on the emerging events of ozone formation in Chengdu-Chongqing areas, southwestern China in March-April 2019, investigating the sensitivities of ozone (O3) formation from anthropogenic precursor emissions in the Chengdu-Chongqing region. The study used the CAMx-DDM air quality model by changing scenarios of pollutants emissions due to the prevention and control measures of the "COVID-19" pandemic in 2020. The simulation results show the negative sensitivity of O3 to NOx and the positive sensitivity to VOCs in Chengdu-Chongqing area. The higher sensitivity areas include the main urban area of Chongqing, the west of the main urban area, the southern urban agglomeration of Sichuan and the western part of Chengdu plain, due to their intensive distributions of pollution emission sources. For example, the average sensitivity of O3 hourly concentration to NOx and VOCs from March to April in 2019 is -19.14 μg•m-3and 7.25 μg•m-3 respectively in the main urban area of Chongqing. The result shows opposite diurnal variations because of the emissions from local and surrounding areas. The simulation results showed that under the condition of 25% reduction of VOCs emissions in these regions, the monthly mean ozone maximum 8-hour concentration in March and April decreased by 2.62 μg•m-3 and 3.59 μg•m-3, respectively. Sensitivity simulation results show that in March 2020, NOx emissions in Sichuan Province and Chongqing decreased by 8.00% and 22.40%, VOCs decreased by 1. 00% and 7.92%. In April, NOx emissions increased by 5.00% and 9.50% year on year, VOCs in Sichuan province were flat year on year, and VOCs in Chongqing increased by 3.63%, which was very consistent with the actual emissions caused by the prevention and control of the "COVID-19" epidemic and the recovery of production in the same period. © 2021, Science Press. All right reserved.

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