Privacy and Information Disclosure: Dynamic Digital Governance in Response to COVID-19

The information collection in the global governance of the digital economy is important to companies in response to COVID-19. This research studied the initiative of conflicts between privacy and information disclosure based on agency theory, analyzed the resolution of the conflicts based on incentive compatibility, and further discussed the rationale of the balance between private and public interest based on agile governance. This research suggests the necessity of finding the balance between public interest and privacy protection based on the hierarchical division of private and public interest. The dynamic psychological behavior to privacy and information disclosure by uninfected and infected citizens in response to COVID-19 is simulated by Volterra differential equations. The specification of boundaries in data use can be helpful to companies in reconciling the privacy and information disclosure for customer relationship management in digital governance in response to COVID-19.

FDI and Wellbeing: A Key Node Analysis for Psychological Health in Response to COVID-19 Using Artificial Intelligence.

Developing countries are primary destinations for FDI from emerging economies following the World Investment Report 2022, including destinations in OECD countries. Based on three theoretical lenses and case analyses, we argue that Chinese outward FDI has impacts on wellbeing in destination countries, and that this is an important issue for psychological health in response to COVID-19. Based on the super-efficiency DEA approach, our study investigated the impact of Chinese outward FDI on wellbeing in OECD countries. We also applied a Tabu search to identify country groups based on the relationship between Chinese outward FDI and wellbeing and we developed a key node analysis of the country groups using an immune algorithm. This research has implications for public administrators in global governance and could help shape FDI policies to improve psychological health of the destination countries in response to COVID-19.

Predictors of COVID-19 perceived susceptibility: insights from population-based self-reported survey during lockdown in the United States.

BACKGROUND: The COVID-19 pandemic during lockdown has highlighted the importance of identifying individuals most at risk of infection with SARS-CoV-2, underscoring the need to assess factors contributing to susceptibility to disease. With the rapidly evolving nature of the pandemic and its new variants, there is an inadequate understanding on whether there are certain factors such as a specific symptom or collection of symptoms that combined with life-style behaviors may be useful to predict susceptibility. The study aims to explore such factors from pre-vaccination data to guide public health response to potential new waves. METHODS: An anonymous electronic survey was distributed through social media during the lockdown period in the United States from April to June 2020. Respondents were questioned regarding COVID testing, presenting symptoms, demographic information, comorbidities, and confirmation of COVID-19 test results. Stepwise logistic regression was used to identify predictors for COVID-19 perceived susceptibility. Selected classifiers were assessed for prediction performance using area under receiver operating characteristic (AUROC) curve analysis. RESULTS: A total of 130 participants deemed as susceptible because they self-reported their perception of having COVID-19 (but without the evidence of positive test) were compared with 130 individuals with documented negative test results. Participants had a mean age of 45 years, and 165 (63%) were female. Final multivariable model showed significant associations with perceived susceptibility for the following variables: fever (OR:33.5; 95%CI: 3.9,85.9), body ache (OR:3.0; 95%CI:1.1,6.4), contact history (OR:2.7; 95%CI:1.1,6.4), age> 50 (OR:2.7; 95%CI:1.1, 6.6) and smoking (OR:3.3; 95%CI: 1.2,9.1) after adjusting for other symptoms and presence of comorbid conditions. The AUROC ranged from poor to fair (0.65-0.76) for cluster of symptoms but improved to a good model (AUROC = 0.803) after inclusion of sociodemographic and lifestyle behaviors e.g., age and smoking tobacco. CONCLUSIONS: Fever and body aches suggest association with perceived COVID-19 susceptibility in the presence of demographic and lifestyle behaviors. Using other constitutional and respiratory symptoms with fever and body aches, the parsimonious classifier correctly predicts 80.3% of COVID-19 perceived susceptibility. A larger cohort of respondents will be needed to study and refine classifier performance in future lockdowns and with expected surge of new variants of COVID-19 pandemic.

Risk and resilience in couple’s adjustment to the COVID-19 pandemic

The COVID-19 pandemic?s global scope and resulting social distancing measures have caused unprecedented economic, lifestyle, and social impacts to personal and relationship well-being. While lockdowns have prompted individuals to increase reliance on intimate partners for support, stressful external contexts can also interfere with partners? capacity to request and provide support, resulting in relationship dissatisfaction and even dissolution. Guided by a risk and resilience framework, this study examined the impact of perceived stress, social contextual factors, and dyadic coping on self-reported relationship satisfaction changes during the initial United States COVID-19 lockdown period. Participants were adults in romantic relationships who completed an online survey between April 13 and June 8, 2020. Overall, survey respondents (N = 1106) reported higher perceived stress levels than established population norms, and small but significant decrements in relationship satisfaction. Multivariable models revealed that higher perceived stress levels were associated with lower relationship satisfaction levels. Additionally, dyadic coping was found to moderate the impact of perceived stress on relationship satisfaction (B = .05, 95% CI = .02? .07), suggesting that engaging in dyadic coping buffered individuals from adverse effects of perceived stress on their relationships. Findings emphasize heightened stress experienced by individuals during the pandemic, potential detrimental effects of stress on couple relationships, and suggest dyadic coping may help buffer couples from adverse effects of the pandemic on their relationships. As such, dyadic coping may be an important target for future interventions designed to assist couples during the ongoing pandemic and future pandemics/natural disasters.

Distribution Network for the Last Mile of Cross-Border E-business in a Smart City at Emerging Market in Response to COVID-19: A Key Node Analysis Based on a Vision of Fourth Party Logistics.

This research studies the development of distribution networks for the last mile distribution for cross-border E-business based on a vision of fourth party logistics (4PL) in smart cities in emerging markets in response to COVID-19. This research analyzes the distribution centers of distribution companies in Beijing city using fuzzy cluster analysis as a case study of smart cities. The location decision for distribution centers to serve cross-border E-business is further analyzed by considering the local conditions of the distribution centers. The solutions to the location decisions for distribution centers in different cases are further visualized by 2-mode networks. The key nodes in the distribution network of the last mile for cross-border E-business are further studied based on fourth-party logistics by a immune algorithm. Cross-border E-business value creation based on the development of distribution networks using fourth-party logistics is further discussed. The location distribution of key nodes can spread from the downtown district to suburban areas as the coverage of the distribution network is expanded. This research can help managers and decision makers address the last mile distribution for cross-border E-business in smart cities in emerging markets based on a vision of fourth-party logistics in response to COVID-19.

Overcoming COVID-19 Vaccine Hesitancy: Insights from an Online Population-Based Survey in the United States.

This study sought to identify individual-level determinants of COVID-19 vaccine hesitancy based on the Health Belief Model (HBM) and Theory of Planned Behavior (TPB). An online population-based survey was distributed in English and Spanish. Data were derived from 1208 U.S. adults (52% female; 38.7% minorities), 43.5% of whom reported vaccine hesitancy. Multivariable analysis revealed that unemployed individuals were more likely (OR = 1.78, 95% CI: 1.16-2.73, p = 0.009) and married (OR = 0.57, 95% CI: 0.39-0.81, p = 0.002) and higher income individuals (OR = 0.52, 95% CI 0.32-0.84, p = 0.008) were less likely to be hesitant. Individuals with greater perceived susceptibility to COVID-19 (OR = 0.82, 95% CI: 0.71-0.94, p = 0.006), who perceived vaccination as being convenient (OR = 0.86, 95% CI: 0.74-1.00, p = 0.047), and who afforded greater importance to cues to action from government (OR = 0.84, 95% CI: 0.74-0.95, p = 0.005), public health (OR = 0.70, 95% CI: 0.59-0.82, p < 0.001), and healthcare experts (OR = 0.59, 95% CI: 0.50-0.69, p < 0.001) were also less likely to be hesitant. Findings suggest that HBM and TPB constructs may be useful in informing strategies to improve COVID-19 vaccine uptake. Specifically, framing appeals based on perceptions of COVID-19 susceptibility, making vaccination convenient, and rebuilding trust through unified cues to action may help to overcome vaccine hesitancy.

[A Case Report of Checkpoint Inhibitor Pneumonitis Caused by PD-1
Antibody-Safety and Effectiveness of Pirfenidone].

BACKGROUND: Immune checkpoint inhibitor associated pneumonia (CIP) is a serious side effect of immune checkpoint inhibitors. There is a consensus on the treatment of acute phase of CIP, but the treatment of pulmonary interstitial fibrosis after the acute phase is still a clinical problem to be solved. METHODS: The diagnosis and treatment of a non-small cell lung cancer (NSCLC) patient with immune checkpoint inhibitor associated pneumonia in the Stereotactic Radiotherapy Department of Qingdao Central Hospital were retrospectively analyzed, and literatures were reviewed. RESULTS: A 70-year-old male patient was diagnosed with Poorly differentiated squamous cell carcinoma of left lung with mediastinal lymph node metastasis T3N3M0 stage IIIc, EGFR/ALK/ROS1/RAF negative, PD-L1 (22c3) immunohistochemistry negative. After the progression of first-line chemotherapy, the patient was diagnosed as immune checkpoint inhibitor associated pneumonia grade 3 during second-line monotherapy with Nivolumab. After initial high-dose glucocorticoid pulse therapy, the lung computed tomography (CT) imaging and clinical symptoms of the patients were partially relieved, and then pirfenidone (300 mg tid) was given orally for more than 11 months. During the treatment of pirfenidone, the CT imaging and clinical symptoms of the patients were significantly improved, and there were no other adverse reactions except grade 1 nausea. During this period, chemotherapy and Anlotinib was given concurrently with pirfenidone and showed good safety profile. CONCLUSIONS: This case report is the first report of pirfenidone in the treatment of CIP, which provides a new idea for the clinical practice and research of CIP treatment.

Sociodemographic and Health Belief Model Factors Associated with Nonadherence to COVID-19 Mitigation Strategies in the United States.

BACKGROUND AND PURPOSE: Virus mitigation strategies such as adhering to stay-at-home orders, practicing social distancing, and engaging in personal protective behaviors are central to slowing the spread of COVID-19. This population-based cohort study sought to identify sociodemographic characteristics and Health Belief Model factors that are associated with nonadherence to COVID-19 mitigation strategies with the goal of informing public health messaging campaigns. METHODS: An online population-based survey was distributed via social media over an 8-week period from April 13, 2020, to June 8, 2020. RESULTS: Data were derived from 2,222 adults (57% female; 40% racial/ethnic minorities). Univariate analyses revealed that men, younger aged (18-30 years) and unmarried adults, and noncollege educated individuals had lower levels of perceived threat, control, and knowledge about COVID-19 (p ≤ .001). Multivariable linear regression models further revealed that male gender was significantly associated with reporting lower levels of adherence to COVID-19 mitigation strategies (p < .001), and that higher levels of perceived threat, perceived control, and knowledge about how to keep oneself and others safe from COVID-19 were significantly associated with reporting higher levels of adherence to COVID-19 mitigation strategies (p < .01). CONCLUSIONS: Findings suggest that public health appeals that target men, emphasize individual risk, and provide clear, consistent guidance on what individuals can do to decrease their risk for COVID-19 may be effective in motivating increased mitigation adherence.

Psychosocial and health behavioural impacts of COVID-19 pandemic on adults in the USA: protocol for a longitudinal cohort study.

INTRODUCTION: Although social distancing may help contain the spread of COVID-19, the social isolation and loneliness it causes can heighten stress, contribute to unhealthy lifestyle behaviours and have deleterious effects on social relationships. This ongoing longitudinal cohort study aims to (1) characterise the psychological, social and health behavioural impacts of the COVID-19 pandemic over a 12-month period in the USA; (2) determine whether these impacts differ for certain subgroups based on sociodemographics and other individual-level factors; and (3) explore whether there are modifiable factors (eg, coping, social support) that moderate the effects of the pandemic over time. METHODS AND ANALYSIS: Adults (aged ≥18 years) who were fluent in either English or Spanish were recruited via social media and invited to complete an online survey during the 8-week period from 13 April to 8 June 2020 (baseline). Follow-up surveys will be conducted 6 and 12 months after baseline. Data transformations, non-parametric tests or other alternative methods will be used when appropriate. Descriptive statistics and cross-sectional analyses will be performed. Longitudinal associations will be analysed using multilevel modelling with time-variant and time-invariant predictors of change in trajectory over the study period. ETHICS AND DISSEMINATION: Research ethics approval was received from the Baylor College of Medicine Institutional Review Board (H-47505). Overall, this study will provide timely information that can be used to inform public health messaging strategies and guide development of assessment tools and interventions to support vulnerable individuals dealing with the long-term impacts of the COVID-19 pandemic.