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1.
Cell Reports ; : 110786, 2022.
Article in English | ScienceDirect | ID: covidwho-1797092

ABSTRACT

Summary SARS-CoV-2 continues to evolve into variants of concern (VOCs), with greatest variability in the multidomain, entry-facilitating spike proteins. To recognize the significance of adaptive spike protein changes, we compared variant SARS-CoV-2 virus particles in several assays reflecting authentic virus-cell entry. Virus particles with adaptive changes in spike amino-terminal domains (NTDs) were hypersensitive to proteolytic activation of membrane fusion, an essential step in virus-cell entry. Proteolysis was within fusion domains (FDs), at sites over 10 nm from the VOC-specific NTD changes, indicating allosteric inter-domain control of fusion activation. In addition, NTD-specific antibodies blocked FD cleavage, membrane fusion, and virus-cell entry, suggesting restriction of inter-domain communication as a neutralization mechanism. Finally, using structure-guided mutagenesis, we identified an inter-monomer beta-sheet structure that facilitates NTD-to-FD transmissions and subsequent fusion activation. This NTD-to-FD axis that sensitizes viruses to infection and to NTD-specific antibody neutralization provides new context for understanding selective forces driving SARS-CoV-2 evolution.

2.
Future Med Chem ; 2022 Apr 07.
Article in English | MEDLINE | ID: covidwho-1780171

ABSTRACT

Background: In the last two decades, the world has witnessed the emergence of zoonotic corona viruses (CoVs), which cause mild to severe respiratory diseases in humans. Human coronaviruses (HCoVs), mainly from the alpha-CoV and beta-CoV genera, have evolved to be highly pathogenic, such as SARS-CoV-2 causing the COVID-19 pandemic. These coronaviruses carry functional enzymes necessary for the virus life cycle, which represent attractive antiviral targets. Methods & Results: We aimed to therapeutically target the main protease (Mpro) of HCoV-NL63 and HCoV-229E (from alpha-CoV genus) and HCoV-OC43 and SARS-CoV-2 (from beta-CoV genus). Through virtual screening, we identified an FDA-approved drug dyphylline, a xanthine derivate, that binds to the catalytic dyad residues; histidine and cystine of the Mpro structures. Importantly, dyphylline dose-dependently inhibited the viral replication in cell culture models infected with the viruses. Conclusion: Our findings support the repurposing of dyphylline as a pan-coronavirus antiviral agent.

3.
Nature ; 2022 Mar 21.
Article in English | MEDLINE | ID: covidwho-1751733

ABSTRACT

Coronavirus disease 2019 (COVID-19) is especially severe in aged populations1. SARS-CoV-2 vaccines are highly effective, but vaccine efficacy is partly compromised by the emergence of SARS-CoV-2 variants with enhanced transmissibility2. The emergence of these variants emphasizes the need for further development of anti-SARS-CoV-2 therapies, especially in aged populations. Here, we describe the isolation of highly virulent mouse-adapted viruses and use them to test a novel therapeutic drug in infected aged animals. Many of the mutations observed in SARS-CoV-2 during mouse adaptation (positions 417, 484, 493, 498, 501 of the spike protein) also arise in humans in variants of concern (VOC)2. Their appearance during mouse adaptation indicates that immune pressure is not required for selection. In murine SARS, in which severity is also age-dependent, elevated levels of an eicosanoid, prostaglandin D2 (PGD2) and of a phospholipase, PLA2G2D, contributed to poor outcomes in aged mice3,4. mRNA expression of PLA2G2D and PTGDR, a PGD2 receptor, and production of PGD2 also increase in human PBMC-derived dendritic cells with aging and after SARS-CoV-2 infection. Using our mouse-adapted SARS-CoV-2, we show that middle-aged mice lacking expression of PTGDR, or PLA2G2D are protected from severe disease. Further, treatment with a PTGDR antagonist, asapiprant, protected aged mice from lethal infection. PTGDR antagonism is one of the first interventions in SARS-CoV-2-infected animals that specifically protects aged animals, suggesting that the PLA2G2D-PGD2/PTGDR pathway is a useful target for therapeutic interventions.

5.
Arch Virol ; 167(4): 1125-1130, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-1694546

ABSTRACT

Given the structural similarities of the viral enzymes of different coronaviruses (CoVs), we investigated the potency of the anti-SARS-CoV-2 agents boceprevir and GC376 for counteracting seasonal coronavirus infections. In contrast to previous findings that both boceprevir and GC376 are potent inhibitors of the main protease (Mpro) of SARS-CoV-2, we found that GC376 is much more effective than boceprevir in inhibiting SARS-CoV-2 and three seasonal CoVs (NL63, 229E, and OC43) in cell culture models. However, these results are discordant with a molecular docking analysis that suggested comparable affinity of boceprevir and GC376 for the different Mpro enzymes of the four CoVs. Collectively, our results support future development of GC376 but not boceprevir (although it is an FDA-approved antiviral medication) as a pan-coronavirus antiviral agent. Furthermore, we caution against overinterpretation of in silico data when developing antiviral therapies.


Subject(s)
Antiviral Agents , COVID-19 , Antiviral Agents/chemistry , Antiviral Agents/pharmacology , COVID-19/drug therapy , Humans , Molecular Docking Simulation , Proline/analogs & derivatives , Protease Inhibitors/pharmacology , Pyrrolidines , SARS-CoV-2 , Sulfonic Acids
6.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-323625

ABSTRACT

Electric vehicles (EVs) represent a major path for global decarbonization, improvement of air quality and promotion of renewable energy. To tackle the COVID-19 pandemic, China imposed full lockdowns and thorough travel restrictions. This event represents an unprecedented inadvertent geoengineering experiment in vehicle emissions, emulating transition to EVs. Here we novelly exploited observations of air quality during the full lockdown to constrain predictions of a comprehensive chemical transport model. Large traffic flux reductions were near-linearly linked to reductions of NO 2 and PM 2.5 (correlation = 0.491 ~ 0.626). Extrapolating to a full conversion to EV results in a large reduction of PM 2.5 (30 ~ 70%) in most of central and south eastern China. A smaller reduction of PM 2.5 (10 ~ 20%) in Beijing and Tianjin was achievable due to the presence of major industrial emission sources which cause haze at a regional scale. The potential reductions in NO 2 were 40 ~ 90% in most of the megacities. At this present crossroads of policy, our findings reveal timely evidence supporting the transition towards renewable energy.Funding: This study is supported by the Department of Science and Technology of China (No. 2016YFC0202702, 2018YFC0213506 and 2018YFC0213503), National Research Program for Key Issues in Air Pollution Control in China (No. DQGG0107) and National Natural Science Foundation of China (No. 21577126, 41561144004, 21625701). Pengfei Li is supported by Initiation Fund for Introducing Talents of Hebei Agricultural University (412201904) and Youth Top Fund of Universities in Hebei Province (BJ2020032). Conflict of Interest: Authors declare no competing interests.

7.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-309023

ABSTRACT

Background: The COVID-19 pandemic is a major health crisis has led to adverse mental health consequences in the general public, medical staff, and individual in self isolation. In order to stop transmission of the virus and save lives, Fangcang shelter hospitals were developed and used for the first time in China. However, there is no research on mental health problems in Fangcang shelter hospitals patients during the COVID-19 outbreak. The aim of this study was to survey the prevalence and major influencing factors of anxiety, depression among the hospitalized Coronavirus Disease 2019 (COVID-19) cases in Fangcang shelter hospital. Methods From February 23rd, 2020, to February 26th, 2020, we obtained the information of demographic data, clinical symptoms, and assessed the mental health status, sleep quality by using an online questionnaire including self-rating anxiety scale (SAS), self-rating depressive scale (SDS) and pittsburgh sleep quality index (PSQI) at Jianghan Fangcang shelter hospital. We assessed the prevalence of anxiety, depression symptoms and poor sleep quality via the scores of SAS, SDS and PSQI. We explored the influencing factors of anxiety and depression in COVID-19 patients using multivariable logistic regression models. Results We collected data from 307 COVID-19 patients in Jianghan Fangcang shelter hospital. The prevalence of anxiety, depression symptoms were 18.6% and 13.4%, respectively. Poor Sleep quality, number of current physical symptoms ≥ 2 were independent risk factors for anxiety symptoms ( P  < 0.05);female, family member confirmed COVID-19, number of current physical symptoms ≥ 2 were independent risk factors for depression symptoms ( P  < 0.05). PSQI scores were significant positively associate with SAS scores and SDS scores ( P ༜ 0.05). Conclusions Anxiety and depression are common among the COVID-19 patients in Fangcang shelter hospital. Those with more current physical symptoms, poor sleep quality are more likely to have anxiety. Females, those with their family members diagnosed with COVID-19, more current physical symptoms are more vulnerable to depression symptom. Our findings can be used to formulate targeted psychological interventions to reduce adverse psychological impacts in Fangcang shelter hospital during the outbreak of epidemic disease in the future.

8.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-308322

ABSTRACT

We probe the effects of the COVID-19 pandemic and the subsequent containment policies on business activities in China by exploiting big data on 1.5 billion sales invoices. Using a difference-in-differences approach, we estimate that the average drop in sales is between 23% and 35%, depending on firm size, for the 12-week period after Wuhan's lockdown. The unprecedented plunge in countrywide economic activities is more evident in the first eight weeks, and firm sales gradually resume to 85% of the normal level afterward. Firms in industries requiring more intensive face-to-face interactions suffer more during the public health measures. Also, cities relying on investment-driven economic growth are more resilient. Lastly, local governments' economic stimulus policies, aimed at alleviating financial losses for small and micro firms, are actually more effective for medium-sized and large firms. Our results provide implications for other economies seeking to develop strategies to contain the disease and reopen the economy.

9.
Environ Chem Lett ; 20(1): 59-69, 2022.
Article in English | MEDLINE | ID: covidwho-1680976

ABSTRACT

Despite large decreases of emissions of air pollution during the coronavirus disease 2019 (COVID-19) lockdown in 2020, an unexpected regional severe haze has still occurred over the North China Plain. To clarify the origin of this pollution, we studied air concentrations of fine particulate matter (PM2.5), NO2, O3, PM10, SO2, and CO in Beijing, Hengshui and Baoding during the lockdown period from January 24 to 29, 2020. Variations of PM2.5 composition in inorganic ions, elemental carbon and organic matter were also investigated. The HYSPLIT model was used to calculate backward trajectories and concentration weighted trajectories. Results of the cluster trajectory analysis and model simulations show that the severe haze was caused mainly by the emissions of northeastern non-stopping industries located in Inner Mongolia, Liaoning, Hebei, and Tianjin. In Beijing, Hengshui and Baoding, the mixing layer heights were about 30% lower and the maximum relative humidity was 83% higher than the annual averages, and the average wind speeds were lower than 1.5 m s-1. The concentrations of NO3 -, SO4 2-, NH4 +, organics and K+ were the main components of PM2.5 in Beijing and Hengshui, while organics, K+, NO3 -, SO4 2-, and NH4 + were the main components of PM2.5 in Baoding. Contrary to previous reports suggesting a southerly transport of air pollution, we found that northeast transport caused the haze formation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10311-021-01314-8.

10.
JMIR Mhealth Uhealth ; 10(1): e34054, 2022 01 04.
Article in English | MEDLINE | ID: covidwho-1662535

ABSTRACT

BACKGROUND: Mental disorders impose varying degrees of burden on patients and their surroundings. However, people are reluctant to take the initiative to seek mental health services because of the uneven distribution of resources and stigmatization. Thus, mobile apps are considered an effective way to eliminate these obstacles and improve mental health awareness. OBJECTIVE: This study aims to evaluate the quality, function, privacy measures, and evidence-based and professional background of multipurpose mental health apps in Chinese commercial app stores. METHODS: A systematic search was conducted on iOS and Android platforms in China to identify multipurpose mental health apps. Two independent reviewers evaluated the identified mobile apps using the Mobile App Rating Scale (MARS). Each app was downloaded, and the general characteristics, privacy and security measures, development background, and functional characteristics of each app were evaluated. RESULTS: A total of 40 apps were analyzed, of which 35 (87.5%) were developed by companies and 33 (82.5%) provided links to access the privacy policy; 21 (52.5%) apps did not mention the involvement of relevant professionals or the guidance of a scientific basis in the app development process. The main built-in functions of these apps include psychological education (38/40, 95%), self-assessment (34/40, 85%), and counseling (33/40, 82.5%). The overall quality average MARS score of the 40 apps was 3.54 (SD 0.39), and the total score was between 2.96 and 4.30. The total MARS score was significantly positively correlated with the scores of each subscale (r=0.62-0.88, P<.001). However, the user score of the app market was not significantly correlated with the total MARS score (r=0.17, P=.33). CONCLUSIONS: The quality of multipurpose mental health apps in China's main app market is generally good. However, health professionals are less involved in the development of these apps, and the privacy protection policy of the apps also needs to be described in more detail. This study provides a reference for the development of multipurpose mental health apps.


Subject(s)
Mobile Applications , China , Delivery of Health Care , Humans , Mental Health , Privacy
12.
Sci Rep ; 11(1): 23465, 2021 12 06.
Article in English | MEDLINE | ID: covidwho-1556248

ABSTRACT

Human coronavirus NL63 (HCoV-NL63) mainly affects young children and immunocompromised patients, causing morbidity and mortality in a subset of patients. Since no specific treatment is available, this study aims to explore the anti-SARS-CoV-2 agents including favipiravir and remdesivir for treating HCoV-NL63 infection. We first successfully modelled the 3D structure of HCoV-NL63 RNA-dependent RNA polymerase (RdRp) based on the experimentally solved SARS-CoV-2 RdRp structure. Molecular docking indicated that favipiravir has similar binding affinities to SARS-CoV-2 and HCoV-NL63 RdRp with LibDock scores of 75 and 74, respectively. The LibDock scores of remdesivir to SARS-CoV-2 and HCoV-NL63 were 135 and 151, suggesting that remdesivir may have a higher affinity to HCoV-NL63 compared to SARS-CoV-2 RdRp. In cell culture models infected with HCoV-NL63, both favipiravir and remdesivir significantly inhibited viral replication and production of infectious viruses. Overall, remdesivir compared to favipiravir is more potent in inhibiting HCoV-NL63 in cell culture. Importantly, there is no evidence of resistance development upon long-term exposure to remdesivir. Furthermore, combining favipiravir or remdesivir with the clinically used antiviral cytokine interferon-alpha resulted in synergistic effects. These findings provided a proof-of-concept that anti-SARS-CoV-2 drugs, in particular remdesivir, have the potential to be repurposed for treating HCoV-NL63 infection.


Subject(s)
Adenosine Monophosphate/analogs & derivatives , Alanine/analogs & derivatives , Amides/chemistry , Antiviral Agents/chemistry , Coronavirus NL63, Human/enzymology , Pyrazines/chemistry , RNA-Dependent RNA Polymerase/chemistry , Adenosine Monophosphate/chemistry , Adenosine Monophosphate/metabolism , Adenosine Monophosphate/pharmacology , Alanine/chemistry , Alanine/metabolism , Alanine/pharmacology , Amides/metabolism , Amides/pharmacology , Animals , Antiviral Agents/metabolism , Antiviral Agents/pharmacology , Binding Sites , Cell Culture Techniques , Cell Line , Coronavirus NL63, Human/physiology , Haplorhini , Humans , Molecular Docking Simulation , Pyrazines/metabolism , Pyrazines/pharmacology , RNA-Dependent RNA Polymerase/metabolism , Virus Replication/drug effects
13.
Environmental Chemistry Letters ; : 1-11, 2021.
Article in English | EuropePMC | ID: covidwho-1489817

ABSTRACT

Despite large decreases of emissions of air pollution during the coronavirus disease 2019 (COVID-19) lockdown in 2020, an unexpected regional severe haze has still occurred over the North China Plain. To clarify the origin of this pollution, we studied air concentrations of fine particulate matter (PM2.5), NO2, O3, PM10, SO2, and CO in Beijing, Hengshui and Baoding during the lockdown period from January 24 to 29, 2020. Variations of PM2.5 composition in inorganic ions, elemental carbon and organic matter were also investigated. The HYSPLIT model was used to calculate backward trajectories and concentration weighted trajectories. Results of the cluster trajectory analysis and model simulations show that the severe haze was caused mainly by the emissions of northeastern non-stopping industries located in Inner Mongolia, Liaoning, Hebei, and Tianjin. In Beijing, Hengshui and Baoding, the mixing layer heights were about 30% lower and the maximum relative humidity was 83% higher than the annual averages, and the average wind speeds were lower than 1.5 m s−1. The concentrations of NO3−, SO42−, NH4+, organics and K+ were the main components of PM2.5 in Beijing and Hengshui, while organics, K+, NO3−, SO42−, and NH4+ were the main components of PM2.5 in Baoding. Contrary to previous reports suggesting a southerly transport of air pollution, we found that northeast transport caused the haze formation. Supplementary Information The online version contains supplementary material available at 10.1007/s10311-021-01314-8.

14.
Virology ; 564: 33-38, 2021 12.
Article in English | MEDLINE | ID: covidwho-1447220

ABSTRACT

Endemic seasonal coronaviruses cause morbidity and mortality in a subset of patients, but no specific treatment is available. Molnupiravir is a promising pipeline antiviral drug for treating SARS-CoV-2 infection potentially by targeting RNA-dependent RNA polymerase (RdRp). This study aims to evaluate the potential of repurposing molnupiravir for treating seasonal human coronavirus (HCoV) infections. Molecular docking revealed that the active form of molnupiravir, ß-D-N4-hydroxycytidine (NHC), has similar binding affinity to RdRp of SARS-CoV-2 and seasonal HCoV-NL63, HCoV-OC43 and HCoV-229E. In cell culture models, treatment of molnupiravir effectively inhibited viral replication and production of infectious viruses of the three seasonal coronaviruses. A time-of-drug-addition experiment indicates the specificity of molnupiravir in inhibiting viral components. Furthermore, combining molnupiravir with the protease inhibitor GC376 resulted in enhanced antiviral activity. Our findings highlight that the great potential of repurposing molnupiravir for treating seasonal coronavirus infected patients.


Subject(s)
Coronavirus 229E, Human/genetics , Coronavirus Infections/drug therapy , Coronavirus NL63, Human/genetics , Coronavirus OC43, Human/genetics , Cytidine/analogs & derivatives , Hydroxylamines/pharmacology , Antiviral Agents/chemistry , Antiviral Agents/metabolism , Antiviral Agents/pharmacology , Common Cold/drug therapy , Coronavirus 229E, Human/drug effects , Coronavirus 229E, Human/physiology , Coronavirus NL63, Human/drug effects , Coronavirus NL63, Human/physiology , Coronavirus OC43, Human/drug effects , Coronavirus OC43, Human/physiology , Cytidine/pharmacology , Humans , Molecular Docking Simulation , Protein Binding/drug effects , Pyrrolidines/pharmacology , RNA-Dependent RNA Polymerase/chemistry , RNA-Dependent RNA Polymerase/genetics , RNA-Dependent RNA Polymerase/metabolism , Seasons , Sulfonic Acids/pharmacology , Virus Replication/drug effects , Virus Replication/genetics
16.
One Earth ; 4(7):1037-1048, 2021.
Article in English | ScienceDirect | ID: covidwho-1322298

ABSTRACT

Summary Transportation contributes to around one-fifth of global greenhouse gas emissions, while also causing severe air pollution. The conversion to electric vehicles (EVs) represents a major path to decarbonize the transport sector, with potentially significant co-benefits for human health. However, the scale of such co-benefits largely remains an empirical question and lacks observational evidence. The full lockdown in China during the coronavirus disease 2019 (COVID-19) pandemic provides an unprecedented real-world experiment to evaluate emission reduction potentials of a large-scale transition to EVs. Here, we utilize ground and satellite observations of air quality during the full lockdown to constrain predictions of a comprehensive chemical transport model and find that the substantial traffic reductions are near-linearly linked to reductions of PM2.5 (particles with an aerodynamic diameter ≤2.5 μm) and NO2. A further extrapolation of a full conversion to EVs shows a significant reduction of PM2.5 (30%–70%) and NO2 (30%–80%) in most of China. Our findings provide fact-based evidence of potential environmental benefits generated by fully switching to EVs.

17.
Anal Bioanal Chem ; 413(23): 5811-5820, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1321733

ABSTRACT

Remdesivir is a nucleotide analog prodrug that has received much attention since the outbreak of the COVID-19 pandemic in December 2019. GS-441524 (Nuc) is the active metabolite of remdesivir and plays a pivotal role in the clinical treatment of COVID-19. Here, a robust HPLC-MS/MS method was developed to determine Nuc concentrations in rat plasma samples after a one-step protein precipitation process. Chromatographic separation was accomplished on Waters XBrige C18 column (50 × 2.1 mm, 3.5 µm) under gradient elution conditions. Multiple reaction monitoring transitions in electrospray positive ion mode were m/z 292.2 → 163.2 for Nuc and 237.1 → 194.1 for the internal standard (carbamazepine). The quantitative analysis method was fully validated in line with the United States Food and Drug Administration guidelines. The linearity, accuracy and precision, matrix effect, recovery, and stability results met the requirements of the guidelines. Uncertainty of measurement and incurred sample reanalysis were analyzed to further ensure the robustness and reproducibility of the method. This optimized method was successfully applied in a rat pharmacokinetics study of remdesivir (intravenously administration, 5 mg kg-1). The method can act as a basis for further pharmacokinetic and clinical efficacy investigations in patients with COVID-19. Graphical abstract.


Subject(s)
Adenosine Monophosphate/analogs & derivatives , Adenosine/analogs & derivatives , Alanine/analogs & derivatives , Antiviral Agents/blood , Chromatography, High Pressure Liquid/methods , Tandem Mass Spectrometry/methods , Adenosine/blood , Adenosine/pharmacokinetics , Adenosine/standards , Adenosine Monophosphate/blood , Adenosine Monophosphate/pharmacokinetics , Adenosine Monophosphate/standards , Alanine/blood , Alanine/pharmacokinetics , Alanine/standards , Animals , Antiviral Agents/pharmacokinetics , Antiviral Agents/standards , Limit of Detection , Male , Quality Control , Rats , Rats, Sprague-Dawley , Reference Standards , Reproducibility of Results
18.
Front Med ; 16(1): 102-110, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1303365

ABSTRACT

Consecutively hospitalized patients with confirmed coronavirus disease 2019 (COVID-19) in Wuhan, China were retrospectively enrolled from January 2020 to March 2020 to investigate the association between the use of renin-angiotensin system inhibitor (RAS-I) and the outcome of this disease. Associations between the use of RAS-I (angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB)), ACEI, and ARB and in-hospital mortality were analyzed using multivariate Cox proportional hazards regression models in overall and subgroup of hypertension status. A total of 2771 patients with COVID-19 were included, with moderate and severe cases accounting for 45.0% and 36.5%, respectively. A total of 195 (7.0%) patients died. RAS-I (hazard ratio (HR)= 0.499, 95% confidence interval (CI) 0.325-0.767) and ARB (HR = 0.410, 95% CI 0.240-0.700) use was associated with a reduced risk of all-cause mortality among patients with COVID-19. For patients with hypertension, RAS-I and ARB applications were also associated with a reduced risk of mortality with HR of 0.352 (95% CI 0.162-0.764) and 0.279 (95% CI 0.115-0.677), respectively. RAS-I exhibited protective effects on the survival outcome of COVID-19. ARB use was associated with a reduced risk of all-cause mortality among patients with COVID-19.


Subject(s)
COVID-19 , Hypertension , Angiotensin Receptor Antagonists/therapeutic use , Angiotensin-Converting Enzyme Inhibitors/therapeutic use , Humans , Hypertension/complications , Hypertension/drug therapy , Renin-Angiotensin System , Retrospective Studies
19.
J Med Internet Res ; 23(5): e27811, 2021 05 21.
Article in English | MEDLINE | ID: covidwho-1262583

ABSTRACT

BACKGROUND: COVID-19 has spread around the world and has increased the public's need for health information in the process. Meanwhile, in the context of lockdowns and other measures for preventing SARS-CoV-2 spread, the internet has surged as a web-based resource for health information. Under these conditions, social question-and-answer communities (SQACs) are playing an increasingly important role in improving public health literacy. There is great theoretical and practical significance in exploring the influencing factors of SQAC users' willingness to adopt health information. OBJECTIVE: The aim of this study was to establish an extended unified theory of acceptance and use of technology model that could analyze the influence factors of SQAC users' willingness to adopt health information. Particularly, we tried to test the moderating effects that different demographic characteristics had on the variables' influences. METHODS: This study was conducted by administering a web-based questionnaire survey and analyzing the responses from a final total of 598 valid questionnaires after invalid data were cleaned. By using structural equation modelling, the influencing factors of SQAC users' willingness to adopt health information were analyzed. The moderating effects of variables were verified via hierarchical regression. RESULTS: Performance expectation (ß=.282; P<.001), social influence (ß=.238; P=.02), and facilitating conditions (ß=.279; P=.002) positively affected users' willingness to adopt health information, whereas effort expectancy (P=.79) and perceived risk (P=.41) had no significant effects. Gender had a significant moderating effect in the structural equation model (P<.001). CONCLUSIONS: SQAC users' willingness to adopt health information was evidently affected by multiple factors, such as performance expectation, social influence, and facilitating conditions. The structural equation model proposed in this study has a good fitting degree and good explanatory power for users' willingness to adopt health information. Suggestions were provided for SQAC operators and health management agencies based on our research results.


Subject(s)
Health Information Management/methods , Internet Use/trends , Adolescent , Adult , China , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Quality Control , Residence Characteristics , Surveys and Questionnaires , Young Adult
20.
Front Med (Lausanne) ; 8: 620727, 2021.
Article in English | MEDLINE | ID: covidwho-1241175

ABSTRACT

Background and Objectives: Although the pathogenesis and treatment of coronavirus disease 2019 (COVID-19) have been gradually revealed, the risk for re-emergence of coronavirus nucleic acids in recovered patients remains poorly understood. Hence, this study evaluated the risk predictors associated with re-positivity for virus nucleic acid. Methods: Between February 1 and March 20, 2020, we retrospectively reviewed the clinical epidemiological data of 129 COVID-19 patients who were treated at Zhongxiang People's Hospital of Hubei Province in China. Subsequently, a risk prediction model for the re-positivity of virus nucleic acid was developed, and a receiver operating characteristic (ROC) curve was drawn for further validation. Results: In this study, the rate of re-positivity for virus nucleic acid was 17.8% (23/129) where all re-positivity cases were asymptomatic. The median time interval from discharge to nucleic acid re-positivity to discharge after being cured again was 11.5 days (range: 7-23 days). Multivariate logistic regression analysis showed that leukocytopenia [odds ratio (OR) 7.316, 95% confidence interval (CI) 2.319-23.080, p = 0.001], prealbumin < 150 mg/L (OR 4.199, 95% CI 1.461-12.071, p = 0.008), and hyperpyrexia (body temperature >39°C, OR 4.643, 95% CI 1.426-15.117, p = 0.011) were independent risk factors associated with re-positivity. The area under the ROC curve was 0.815 (95% CI, 0.729-0.902). Conclusion: COVID-19 patients with leukocytopenia, low prealbumin level, and hyperpyrexia are more likely to test positive for virus nucleic acid after discharge. Timely and effective treatment and appropriate extension of hospital stays and quarantine periods may be feasible strategies for managing such patients.

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