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Urban scaling law quantifies the disproportional growth of urban indicators with urban population size, which is one of the simple rules behind the complex urban system. Infectious diseases are closely related to social interactions that intensify in large cities, resulting in a faster speed of transmission in large cities. However, how this scaling relationship varies in an evolving pandemic is rarely investigated and remains unclear. Here, taking the COVID- 19 epidemic in the United States as an example, we collected daily added cases and deaths from January 2020 to June 2022 in more than three thousand counties to explore the scaling law of COVID- 19 cases and city size and its evolution over time. Results show that COVID- 19 cases super- linearly scaled with population size, which means cases increased faster than population size from a small city to a large city, resulting in a higher morbidity rate of COVID- 19 in large cities. Temporally, the scaling exponent that reflects the scaling relationship stabilized at around 1.25 after a fast increase from less than one. The scaling exponent gradually decreased until it was close to one. In comparison, deaths caused by the epidemic did not show a super-linear scaling relationship with population size, which revealed that the fatality rate of COVID-19 in large cities was not higher than that in small or medium-sized cities. The scaling exponent of COVID- 19 deaths shared a similar trend with that of COVID- 19 cases but with a lag in time. We further estimated scaling exponents in each wave of the epidemic, respectively, which experienced the common evolution process of first rising, then stabilizing, and then decreasing. We also analyzed the evolution of scaling exponents over time from regional and provincial perspectives. The northeast, where New York State is located, had the highest scaling exponent, and the scaling exponent of COVID- 19 deaths was higher than that of COVID-19 cases, which indicates that large cities in this region were more prominently affected by the epidemic. This study reveals the size effect of infectious diseases based on the urban scaling law, and the evolution process of scaling exponents over time also promotes the understanding of the urban scaling law. The mechanism behind temporal variations of scaling exponents is worthy of further exploration. © 2023 Science Press. All rights reserved.
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Children are one of the groups most influenced by COVID-19-related social distancing, and a lack of contact with peers can limit their opportunities to develop social and collaborative skills. However, remote socialization and collaboration as an alternative approach is still a great challenge for children. This paper presents MR.Brick, a Mixed Reality (MR) educational game system that helps children adapt to remote collaboration. A controlled experimental study involving 24 children aged six to ten was conducted to compare MR.Brick with the traditional video game by measuring their social and collaborative skills and analyzing their multi-modal playing behaviours. The results showed that MR.Brick was more conducive to children's remote collaboration experience than the traditional video game. Given the lack of training systems designed for children to collaborate remotely, this study may inspire interaction design and educational research in related fields. © 2023 ACM.
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In phase 1 of CC-92480- MM- 001 (NCT03374085), the recommended phase 2 dose (RP2D) of mezigdomide plus dexamethasone (MEZI-d) was selected at 1 mg once daily for 21/28 days. Here we report preliminary results from the MEZI-d dose-expansion cohort in patients with heavily pretreated RRMM. Key eligibility criteria were: RRMM;>=3 prior lines of therapy;disease progression <=60 days of last myeloma therapy;refractoriness to lenalidomide/pomalidomide, a proteasome inhibitor, a glucocorticoid, and an anti-CD38 monoclonal antibody. Oral mezigdomide 1 mg was given on days 1-21 of each 28-day cycle, plus weekly dexamethasone (40 mg;20 mg if >75 years of age). Primary objective was to evaluate efficacy (overall response rate [ORR]);secondary objectives included safety/tolerability and additional efficacy assessments. Pharmacodynamics was an exploratory objective. As of 16/Sep/2022, 101 patients had received MEZI-d at the RP2D. Median age was 67 (range 42-85) years, median time since initial diagnosis was 7.4 (1.1-37.0) years;39.6% of patients had plasmacytomas and 37/101 patients had high-risk cytogenetics (56/101 not evaluable). Median number of prior regimens was 6 (3-15);prior therapies included stem cell transplantation (77.2%) and anti-BCMA therapy (29.7%). All patients were refractory to last myeloma regimen and triple-class refractory. Median follow-up was 7.5 (0.5-21.9) months, with a median of 4 (1-20) cycles;10.0% of patients continued treatment;progressive disease was the main reason for discontinuation (60.4%). ORR was 40.6% for all patients. Whilst data are not mature yet, median PFS was 4.4 (95% CI 3.0-5.5) months and median duration of response was 7.6 (95% CI 5.4-9.5) months. ORR was 30.0% in patients with plasmacytomas (N = 40) and 50.0% in patients with prior anti-BCMA therapy (N = 30). Ninety-one (91.1%) patients experienced a grade 3/4 treatment-emergent adverse event (TEAE). Most frequent hematologic grade 3/4 TEAEs were neutropenia (75.2%), anaemia (35.6%), and thrombocytopenia (27.7%);34.7% of patients had grade 3/4 infections, including grade 3/4 pneumonia (15.8%) and COVID-19 (7.0%). Occurrence of other grade 3/4 non-hematologic TEAEs was generally low. Due to TEAEs, 76.2% and 29.7% of patients had mezigdomide dose interruptions and reductions, respectively;90.1% of patients discontinued mezigdomide. Mezigdomide induced substrate degradation and increases in activated and proliferating T cells in patients, including those directly refractory to pomalidomide-based therapies. MEZI-d had a manageable safety profile with encouraging efficacy in patients with triple-class refractory RRMM, including patients with prior BCMA-targeted therapies. These results strongly support the continued development of mezigdomide in MM, and especially in combination.
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With the outbreak of COVID-19, disinfection protection has become a necessary measure to prevent infection. As a new type of disinfectant, potassium peroxymonosulfate compound salt (PMS) has the advantages of good bactericidal effect, non-toxicity, high safety and stability. However, the current PMS products with irregular particle shapes lead to poor flowability, high hygroscopicity, poor stability of reactive oxygen species (ROS) and serious caking problems. In this work, an agglomeration-dissolution mechanism was designed to prepare spherical PMS particles with large size (>300 mm) and high sphericity (up to 90%), effectively addressing the above problems. Shaping (dissolution and abrasion) is the key to improving sphericity, which is mainly controlled by the design of the heating mode, residence time and stirring rate. Compared with the irregular PMS particles, the large spherical particles present better flowability (angle of repose decreased by 35.80%, Carr's index decreased by 64.29%, Hausner's ratio decreased by 19.14%), lower hygroscopicity (decreased by 38.0%), lower caking ratio (decreased by 84.50%), and higher stability (the monthly loss of ROS was reduced by 61.68%). The agglomeration -dissolution mechanism demonstrates the crystallization, agglomeration, dissolution and abrasion pro-cess of inorganic salt crystals, providing an opportunity to prepare high-end inorganic crystal materials with high-quality morphologies.(c) 2022 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.
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Objective To ensure the safety of both doctors and patients，we should strengthen the management of infection control in the medical observation isolation area for overseas tourists，and continuously improve the compliance rate of infection control prevention measures. Methods In Mar 2020，the domestic COVID-19 was under control，however the overseas epidemic began to spread. As a designated screening hospital for overseas tourists，to prevent the occurrence of nosocomial infections caused by imported cases from abroad，the department carried out quality control prevention circle activities with the theme of"improving the compliance rate of infection control and prevention measures for staff in the medical observation and isolation area of overseas passengers”and determined four countermeasures implementation plans based on current situation grasp，goal setting，cause analysis and countermeasure formulation. Results Compared before and after the implementation of QCC，the compliance rate of the prevention measures of the staff in the medical observation and quarantine area for overseas passengers was increased from 45.08% to 91.54%，and the difference was statistically significant（P<0.001）.The target achievement rate was 84.43%，and the progress rate was 108.85%. Conclusion The quality control circle activities can improve the compliance rate of infection control and prevention measures for staff in the medical observation quarantine area for overseas tourists，thereby ensuring the safety of patients and staff. © 2022 Fudan University. All rights reserved.
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As one of the major venues for articulating and disseminating national agendas and opinion discourse, national newspapers play a critical role in promulgating ideology. Underpinned by Intertextuality and Social Actor Theory, this study explores intertextual aspects of China Daily's reporting of COVID-19 to unearth hidden ideology behind texts. The analysis reveals diversified voices from multiple actors around the globe, with China's official leaders appearing most frequently. In the portrayal of social actors, some strategies like impersonalisation, and genericisation are utilised to add impersonal authority or power to an actor's activity, actant's engagement, and increase the trustworthiness of news. These reprsentational strategies belies a transformation in Chinese media discourse with a softer approach is used in wielding ideological intentions through journalistic practices of intertextuality. Our findings help to unravel how news texts draw on, echo, and bring together multiple intertextual resources realised in the forms of discourses. The circulations, dissemination and incorporation of these intertextual relations and practices construct specific understandings of ideology consolidation and public relations within the context of China and its response to the COVID-19 pandemic. © The Author(s) 2023.
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Objective To ensure the safety of both doctors and patients，we should strengthen the management of infection control in the medical observation isolation area for overseas tourists，and continuously improve the compliance rate of infection control prevention measures. Methods In Mar 2020，the domestic COVID-19 was under control，however the overseas epidemic began to spread. As a designated screening hospital for overseas tourists，to prevent the occurrence of nosocomial infections caused by imported cases from abroad，the department carried out quality control prevention circle activities with the theme of"improving the compliance rate of infection control and prevention measures for staff in the medical observation and isolation area of overseas passengers”and determined four countermeasures implementation plans based on current situation grasp，goal setting，cause analysis and countermeasure formulation. Results Compared before and after the implementation of QCC，the compliance rate of the prevention measures of the staff in the medical observation and quarantine area for overseas passengers was increased from 45.08% to 91.54%，and the difference was statistically significant（P<0.001）.The target achievement rate was 84.43%，and the progress rate was 108.85%. Conclusion The quality control circle activities can improve the compliance rate of infection control and prevention measures for staff in the medical observation quarantine area for overseas tourists，thereby ensuring the safety of patients and staff. © 2022 Fudan University. All rights reserved.
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Affected by the COVID-19 pandemic, teleworking is becoming more popular, with the exposed attack surface of the internal network expanding. Once outsiders personate accounts or insiders conduct illegal operations, the data security in teleworking with traditional border protection will be broken. Therefore, it is necessary to implement fine-grained and dynamic access control to protect data from malicious access. Attribute-based access control (ABAC) is ideal, where authorization is performed through attributes and rules. On this basis, risk assessment, context awareness, and machine learning are supplemented for dynamic access control. However, these methods have their limitations due to the requirement of sufficient prior knowledge and massive label-classified data. Moreover, it is challenging to obtain the samples of attack behaviors, and the attack behaviors may change frequently to evade detection. In contrast, the normal behaviors are relatively stable except for the update of network services. We propose a dynamic access control model, ABAC-IntroVAE, to address the above issues. ABAC-IntroVAE judges users' requests through rule matching and behavior analysis based on the attributes of the requests. It first filters out requests against the rules by rule matching. Then, the introspective variational autoencoder (IntroVAE) is used for behavior analysis to realize dynamic access decisions. Requests classified as normal can be authorized for access. ABAC-IntroVAE only needs samples of normal requests for training, avoiding the difficult task of collecting massive and frequently changing samples of attack requests. Meanwhile, the IntroVAE model is updated through continual learning to adapt to new-style normal behaviors due to the update of network services. Our experiment study suggests that our proposed ABAC-IntroVAE can effectively perform dynamic access control. It achieves an accuracy of 97.2% in abnormal detection and maintains an accuracy of over 97% through continual learning, despite the addition of new-style user behavior patterns. © 2022 IEEE.
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The lack of accurate data on the rural communities' perspectives of the COVID-19 vaccine impairs the planning, monitoring, and evaluation of vaccine programs. Notably, we do not have adequate data to understand why, although COVID-19 has disproportionately impacted minority populations in these communities, they are reported to be the least likely to be vaccinated. This paper develops a cost-effective community sampling frame based on satellite imagery and machine learning to improve the diversity of data and study the association between household-level visual information and COVID-19 vaccination rates in the Alabama Black Belt. The results provided solid evidence for the hypothesis that high-resolution satellite imagery contains valuable information to understand communities' perspectives on the COVID-19 vaccine. It also generated extra knowledge and implications for community health to help social workers to develop future vaccine promotion strategies in rural America. © 2022 ACM.
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Background. ADI is a fully human IgG1 monoclonal antibody engineered to have an extended half-life with high potency and broad neutralization against SARS-CoV-2 and other SARS-like coronaviruses. The goal of our analysis was to develop a QSP model in which ADI concentrations in upper airway (UA) epithelial lining fluid (ELF) were linked to a viral dynamic model to describe the impact of ADI on SARS-CoV-2 viral load relative to placebo. Methods. The QSP model was fit inNONMEMVersion 7.4 using PK data from a Phase 1 study (N=24, IV and IM) and from Phase 2/3 COVID-19 prevention (EVADE;N=659, IM) and treatment (STAMP;N=189, IM) studies. Saliva and NP samples were collected from STAMP study participants (pts) infected with the delta or omicron variants. The viral dynamic model was based on a published model and was modified to include both active (V) and deactivated (DV) virus (Fig). The viral dynamic model was fit to the NP swab viral load data (2 samples/pt) standardized to time since infection based upon recorded symptom onset. Saliva data (7-8 samples/ pt) was fit sequentially using a biophase compartment given the peak viral load was modestly lower and peaked later than Day 1. Viral dynamic model (A) and simulated median (90% PI) NP viral load reduction in ADI-treated or placebo participants for delta (B) and omicron (C) variants Results. The QSP model provided an excellent fit to serum ADI concentrationtime data after estimation of a transit rate to account for IM absorption, plasma volume, and the ADI-neonatal Fc receptor dissociation rate constant. The linked viral dynamic model captured the NP swab viral load data after estimating differences in within-host replication factor (R0) and viral production rate (p) by variant. Maximal ADI-induced effect (Smax) on stimulating viral clearance (c) was fixed to 0.43 based upon prior modeling. ADI concentration in UA ELF resulting in 50% of Smax (SC50) was estimated to be 0.086 for delta and 1.05 mg/L for omicron. Figure B and C show model-based simulated median (90% PI) viral load reduction in ADI-treated or placebo pts for delta and omicron variants. Conclusion. This QSP model, in conjunction with information on new variants available early in outbreaks (IC50, infectivity (R0), viral production rate [each a model parameter]), allows for rapid dose identification in response to emerging variants.
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Background. ADI is a fully human IgG1 monoclonal antibody engineered to have an extended half-life with high potency and broad neutralization against SARS-CoV-2 and other SARS-like coronaviruses with pandemic potential. Our objective was to develop a PPK model that describes the serum ADI concentration time profile following intravenous (IV) and intramuscular (IM) administration. Methods. The ADI PPK model was developed on PK data from a Phase 1 single ascending dose study (24 adults, IV and IM) and from Phase 2/3 COVID-19 prevention (EVADE;659 adults, IM) and treatment (STAMP;189 adults, IM) studies. 1,486 PK samples were included in the analysis. The impact of covariates (e.g. body weight, age, and baseline viral load) on ADI serum disposition were evaluated. Prediction-corrected visual predictive check (PC-VPC) plots were used to qualify the PPK model. Participant-specific ADI exposure estimates were generated using individual post hoc PK parameters. Results. The PPK model is comprised of 2 systemic compartments, zero-order infusion for IV administration and first-order absorption for IM administration and provided a robust fit to the data based on the PC-VPC plots and goodness-of-fit plots (data not shown). Body weight influenced clearance, inter compartmental clearance, and central and peripheral volume compartments. The relationship between body weight and clearance was not suggestive of the need for dose adjustment over the population weight range studied (38.6 to 178.7 kg). There was no apparent impact of baseline viral load or age on ADI clearance. The median [range] half-lives in days by study;Phase 1 (alpha1.71 [1.18-2.46];beta 125 [117-149]), Phase 2/3 prevention (alpha 1.86 [0.640-3.13];beta 136 [105-209]), and Phase 2/3 treatment (alpha 1.89 [0.631-3.01];beta 136 [108-206]). The population mean IM bioavailability estimate was 90.5%. The figure shows the PPK model median (90% confidence interval) concentration-time profile following a single 300 mg IM ADI dose by study. Conclusion. The PPK model provided a precise and unbiasedfit to the observed ADI concentration-time data and will be useful for future PK-pharmacodynamic analyses. Moreover, ADI demonstrated high IM bioavailability and a median terminal elimination half-life of 125 to 136 days.
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Background. Adintrevimab is a fully human IgG1 monoclonal antibody engineered to have potent and broad neutralization against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other SARS-like CoVs with pandemic potential. Adintrevimab is being assessed in two separate phase 2/3 clinical trials: the EVADE trial for prevention of COVID-19 in both post-exposure and preexposure settings and the STAMP trial for treatment of COVID-19. Here we report higher doses being evaluated in a healthy volunteer study given that emerging variants may have varying susceptibilities to adintrevimab. Previous results 300 mg IM, 600 mg IM, and 500 mg IV cohorts have been reported. Methods. This is an ongoing Phase 1, randomized, placebo (PBO)-controlled, single ascending-dose study of adintrevimab administered intramuscularly (IM) or intravenously (IV) to healthy adults aged 18-50 years with no current SARS-CoV-2 infection. Participants were randomized 8:2 in 3 high dose cohorts (N=10/cohort: n=8 adintrevimab, n=2 PBO): adintrevimab 1200 mg IM, 1200 mg IV, and 4500 mg IV. Safety, tolerability, and pharmacokinetics (PK) were assessed up to 21 days post dose. Results. Overall, 30 participants received adintrevimab (n=24) or PBO (n=6). Blinded safety data for all cohorts and PK for 1200 mg IV are reported. Through 21 days post dose all doses were well-tolerated, with no study drug-related adverse events (AEs), serious AEs, injection site reactions, or hypersensitivity reactions reported. The observed PK profile of the 1200 mg IV dose included Cmax of 423+/-105 mug/ml. Comparison of 500 mg and 1200 mg IV doses indicate dose proportionality of Cmax and exposure (AUC Day 21). Conclusion. A single dose of adintrevimab, up to 4500 mg, was well tolerated. These preliminary safety data and PK support potential use of higher doses of adintrevimab as needed to address emerging SARS-CoV-2 variants.
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With the outbreak of COVID-19, disinfection protection has become a necessary measure to prevent infection. As a new type of disinfectant, potassium peroxymonosulfate compound salt (PMS) has the advantages of good bactericidal effect, non-toxicity, high safety and stability. However, the current PMS products with irregular particle shapes lead to poor flowability, high hygroscopicity, poor stability of reactive oxygen species (ROS) and serious caking problems. In this work, an agglomeration-dissolution mechanism was designed to prepare spherical PMS particles with large size (>300 μm) and high sphericity (up to 90%), effectively addressing the above problems. Shaping (dissolution and abrasion) is the key to improving sphericity, which is mainly controlled by the design of the heating mode, residence time and stirring rate. Compared with the irregular PMS particles, the large spherical particles present better flowability (angle of repose decreased by 35.80%, Carr's index decreased by 64.29%, Hausner's ratio decreased by 19.14%), lower hygroscopicity (decreased by 38.0%), lower caking ratio (decreased by 84.50%), and higher stability (the monthly loss of ROS was reduced by 61.68%). The agglomeration-dissolution mechanism demonstrates the crystallization, agglomeration, dissolution and abrasion process of inorganic salt crystals, providing an opportunity to prepare high-end inorganic crystal materials with high-quality morphologies. © 2022 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences
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COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the virus. The long-term fight against multiple COVID-19 outbreaks is ongoing. In this study, we propose an SEIQR model that considers the incubation period and quarantine measurement. We verified our model using actual outbreak data from four Chinese cities. Numerical simulations show that a five-day delay results in a double resurgence scale. Our model can be used as a tool to understand the spread of the virus quantitatively and provide a reference for policymaking accordingly. © 2022
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During the COVID-19 crisis, telecommuting has gradually attracted the public's attention. Past studies on the subject have produced inconsistent findings, suggesting that telecommuting can lead to simultaneous benefits and drawbacks. To discuss the deeper reasons for this finding, we divided telecommuting into two types-voluntary and involuntary telecommuting. Based on the job demands-resources model, we explored the impact of voluntary-involuntary telecommuting on employee innovative behaviour through co-worker emotional support, and we examined the cross-level moderating effect of organisational identification. Using the daily diary method, we collected 455 valid observations from 65 employees for eight consecutive days. The results show that compared with involuntary telecommuting, voluntary telecommuting leads to more co-worker emotional support, in a mediating role, and employee innovative behaviour. Furthermore, a high level of organisational identification enlarges the difference in co-worker emotional support for employees voluntarily or involuntarily telecommuting. Our results uncover those differences and fill the research gap on telecommuter motivation.
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Several problems were found in the attempt and practice of bilingual teaching in Food safety, mainly including inconsistent foreign language quality of students, messy textbooks and teaching content, inadequate bilingual ability of teachers and lack of supervision of English auxiliary teachers, lack of online network construction, and single teaching methods and other issues. Through summing up experience, it is found that a series of methods, such as combining social hot spots and conducting scientific research hot spots introduction teaching, rationally using English textbooks and correspondingly constructing teaching content, can solve the above problems and promote English teaching of Food safety. During pandemic (COVID-19/Corona Virus Disease 2019) period, we boldly carried out bilingual and online teaching attempts, this time also carried out a summary, hoping to provide some guidance for the teaching reform of Food safety © 2022 IEEE.
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We carry out a structural and algorithmic study of a mobile sensor coverage optimization problem targeting 2D surfaces embedded in a 3D workspace. The investigated settings model multiple important applications including camera network deployment for surveillance, geological monitoring/survey of 3D terrains, and UVC-based surface disinfection for the prevention of the spread of disease agents (e.g., SARS-CoV-2). Under a unified general "sensor coverage" problem, three concrete formulations are examined, focusing on optimizing visibility, single-best coverage quality, and cumulative quality, respectively. After demonstrating the computational intractability of all these formulations, we describe approximation schemes and mathematical programming models for near-optimally solving them. The effectiveness of our methods is thoroughly evaluated under realistic and practical scenarios.
Subject(s)
COVID-19 , Neoplasms , COVID-19 Vaccines , Humans , Neoplasms/drug therapy , SARS-CoV-2 , Vaccination/adverse effectsABSTRACT
BACKGROUND: we aimed to explore the relationship of acute kidney injury (AKI) with the severity and mortality of coronavirus disease 2019 (COVID-19). METHODS: A systematic literature search was conducted in PubMed, EMBASE, Scopus, Web of Science, MedRxiv Database. We compared the laboratory indicators of renal impairment and incidences of AKI in the severe versus non-severe cases, and survival versus non-survival cases, respectively. RESULTS: In 41 studies with 10,335 COVID-19 patients, the serum creatinine (sCr) in severe cases was much higher than that in non-severe cases (SMD = 0.34, 95% CI: 0.29-0.39), with a similar trend for blood urea nitrogen (BUN) (SMD = 0.66, 95%CI: 0.51-0.81), hematuria (OR = 1.59, 95% CI: 1.15-2.19), and proteinuria (OR = 2.92, 95% CI: 1.58-5.38). The estimated glomerular filtration rate decreased significantly in severe cases compared with non-severe cases (SMD = -0.45, 95% CI: -0.67- -0.23). Moreover, the pooled OR of continuous renal replacement therapy (CRRT) and AKI prevalence for severe vs. non-severe cases was 12.99 (95%CI: 4.03-41.89) and 13.16 (95%CI: 10.16-17.05), respectively. Additionally, 11 studies with 3759 COVID-19 patients were included for analysis of disease mortality. The results showed the levels of sCr and BUN in non-survival cases remarkably elevated compared with survival patients, respectively (SMD = 0.97, SMD = 1.49). The pooled OR of CRRT and AKI prevalence for non-survival vs. survival cases was 31.51 (95%CI: 6.55-151.59) and 77.48 (95%CI: 24.52-244.85), respectively. CONCLUSIONS: AKI is closely related with severity and mortality of COVID-19, which gives awareness for doctors to pay more attention for risk screening, early identification and timely treatment of AKI.
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The COVID-19 (Corona Virus Disease 2019) outbreak, which seriously affected people's lives across the world, has not been effectively controlled. Previous studies have demonstrated that SARS-COV-2 (Severe acute respiratory syndrome coronavirus 2) infecting host cells mainly rely on binding to receptor proteins, namely ACE2 and TMPRSS2. COVID-19 transmission is faster than the severe acute respiratory syndrome (SARS) pneumonia outbreak in 2002. This is mainly attributed to the different pathways of virus-infected host cells, coupled with patients' atypical clinical characteristics. SARS-CoV-2 is mainly transmitted through respiratory droplets and contact, infecting lung tissues before damaging other body organs, such as the liver, brain, kidney and heart. The present study identified potential target genes for SARS-COV-2 receptors, ACE2 and TMPRSS2, in normal human lung tissue. The findings provide novel insights that will guide future drug development approaches for treatment of COVID-19.