Investigation of social media representation bias in disasters: Towards a systematic framework

Due to its real-time and human-centered nature, social media posts have been widely applied to provide rapid situational awareness in disasters, particularly from a human-centered perspective. To generalize social media-derived insights on a population, a pre-requisite is that the employed social media posts are capable of revealing the information of disaster-affected population without bias. Such wide application and pre-requisite underscore the importance of investigating social media bias for deriving reliable decision support insights in disaster management. However, a systematic framework that streamlines the investigation of social media representation bias is still missing. To address the research gap, we propose a framework comprising (1) the setting of an appropriate representation bias benchmark;(2) the modeling of the sampling uncertainty of social media-derived insights;and (3) the derivation and quantification of representation bias distribution across races/ethnicities. Public transit amid COVID-19 in the United States is studied for illustration purposes. Nation-level results show that the White group is over-represented, the Asian group is slightly over-represented, and the Hispanic and Black groups are under-represented throughout the studied period. The level of social media representation bias varies across the states of California, New York, Texas, and Florida, and it is inversely correlated with population ratios. Such findings are beneficial for decision-makers to use social media to derive reliable insights into disaster-affected population, thereby making informed operational decisions accordingly.

Systematic optimization of host-directed therapeutic targets and preclinical validation of repositioned antiviral drugs.

Inhibition of host protein functions using established drugs produces a promising antiviral effect with excellent safety profiles, decreased incidence of resistant variants and favorable balance of costs and risks. Genomic methods have produced a large number of robust host factors, providing candidates for identification of antiviral drug targets. However, there is a lack of global perspectives and systematic prioritization of known virus-targeted host proteins (VTHPs) and drug targets. There is also a need for host-directed repositioned antivirals. Here, we integrated 6140 VTHPs and grouped viral infection modes from a new perspective of enriched pathways of VTHPs. Clarifying the superiority of nonessential membrane and hub VTHPs as potential ideal targets for repositioned antivirals, we proposed 543 candidate VTHPs. We then presented a large-scale drug-virus network (DVN) based on matching these VTHPs and drug targets. We predicted possible indications for 703 approved drugs against 35 viruses and explored their potential as broad-spectrum antivirals. In vitro and in vivo tests validated the efficacy of bosutinib, maraviroc and dextromethorphan against human herpesvirus 1 (HHV-1), hepatitis B virus (HBV) and influenza A virus (IAV). Their drug synergy with clinically used antivirals was evaluated and confirmed. The results proved that low-dose dextromethorphan is better than high-dose in both single and combined treatments. This study provides a comprehensive landscape and optimization strategy for druggable VTHPs, constructing an innovative and potent pipeline to discover novel antiviral host proteins and repositioned drugs, which may facilitate their delivery to clinical application in translational medicine to combat fatal and spreading viral infections.

Multiplexed analysis of circulating IgA antibodies for SARS-CoV-2 and common respiratory pathogens in COVID-19 patients.

Previous studies have revealed a diagnostic role of pathogen-specific IgA in respiratory infections. However, co-detection of serum specific IgA for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and common respiratory pathogens remains largely unexplored. This study utilizes a protein microarray technology for simultaneous and quantitative measurements of specific IgAs for eight different respiratory pathogens including adenovirus, respiratory syncytial virus, influenza virus type A, influenza virus type B, parainfluenza virus, mycoplasma pneumoniae, chlamydia pneumoniae, and SARS-CoV-2 in serum sample of patients with coronavirus disease 2019 (COVID-19). A total of 42 patients with COVID-19 were included and categorized into severe cases (20 cases) and nonsevere cases (22 cases). The results showed that co-detection rate of specific-IgA for SARS-CoV-2 with at least one pathogen were significantly higher in severe cases than that of nonsevere cases (72.2% vs. 46.2%, p = .014). Our study indicates that co-detection of IgA antibodies for respiratory pathogens might provide diagnostic value for the clinics and also be informative for risk stratification and disease management in patients with COVID-19.

Widespread myocardial dysfunction in COVID-19 patients detected by myocardial strain imaging using 2-D speckle-tracking echocardiography.

COVID-19 is a multiorgan systemic inflammatory disease caused by SARS-CoV-2 virus. Patients with COVID-19 often exhibit cardiac dysfunction and myocardial injury, but imaging evidence is lacking. In the study we detected and evaluated the severity of myocardial dysfunction in COVID-19 patient population using two-dimensional speckle-tracking echocardiography (2-D STE). A total of 218 consecutive patients with confirmed diagnosis of COVID-19 who had no underlying cardiovascular diseases were enrolled and underwent transthoracic echocardiography. This study cohort included 52 (23.8%) critically ill and 166 noncritically ill patients. Global longitudinal strains (GLSs) and layer-specific longitudinal strains (LSLSs) were obtained using 2-D STE. Changes in GLS were correlated with the clinical parameters. We showed that GLS was reduced (<-21.0%) in about 83% of the patients. GLS reduction was more common in critically sick patients (98% vs. 78.3%, P < 0.001), and the mean GLS was significantly lower in the critically sick patients than those noncritical (-13.7% ± 3.4% vs. -17.4% ± 3.2%, P < 0.001). The alteration of GLS was more prominent in the subepicardium than in the subendocardium (P < 0.001). GLS was correlated to mean serum pulse oxygen saturation (SpO2, RR = 0.42, P < 0.0001), high-sensitive C-reactive protein (hsCRP, R = -0.20, P = 0.006) and inflammatory cytokines, particularly IL-6 (R = -0.21, P = 0.003). In conclusions, our results demonstrate that myocardial dysfunction is common in COVID-19 patients, particularly those who are critically sick. Changes in indices of myocardial strain were associated with indices of inflammatory markers and hypoxia, suggesting partly secondary nature of myocardial dysfunction.

[Effect of moxibustion on clinical symptoms, peripheral inflammatory indexes and T lymphocyte subsets in COVID-19 patients].

OBJECTIVE: To explore the therapeutic effect and the mechanism of the adjuvant treatment with moxibustion on coronavirus disease 2019 (COVID-19). METHODS: A total of 95 patients with COVID-19 were randomly divided into a moxibustion group (45 cases) and a basic treatment group (50 cases). The routine treatment of western medicine was applied in the patients of both groups. In the moxibustion group, on the base of the treatment of western medicine, moxibustion was applied to Dazhui (GV 14), Feishu (BL 13), Qihai (CV 6) and Zusanli (ST 36), once daily and consecutively for 14 days. At the end of treatment courses, clinical symptom scores for cough, asthmatic breathing, chest oppression and short breath, as well as their remission rates were compared between the two groups before and after treatment. Before and after treatment, the white blood cell (WBC) count, the levels of c-reactive protein (CRP) and interleukin-6 (IL-6) and the absolute number of T lymphocyte subsets, i.e. , and of the peripheral blood were compared in the patients between the two groups. The principal component analysis was adopted to analyze the common data extracted from the above 10 clinical indexes variables and comprehensively evaluate the differences in the therapeutic effect of two regimens. RESULTS: The clinical symptom scores were all decreased after treatment in both of the moxibustion group and the basic treatment group as compared with those before treatment (P<0.05). After treatment, the clinical symptom scores of cough, chest oppression and asthmatic breathing in the moxibustion group were lower significantly than those in the basic treatment group (P<0.05) and the remission rates of cough, chest oppression and asthmatic breathing were higher than the basic treatment group (P<0.05). After treatment, WBC count was increased as compared with that before treatment in either group (P<0.05) and the levels of CRP and IL-6 in the moxibustion group were reduced as compared with those before treatment (P<0.05). The reducing range of IL-6 level in the moxibustion group was larger than the basic treatment group (P<0.05). After treatment, the absolute number of , and T lymphocytes was increased as compared with that before treatment in the moxibustion group (P<0.05), and its increase range was larger than the basic treatment group (P<0.05). The difference value was 33.38 for the score of comprehensive evaluation before and after treatment in the moxbustion group, higher obviously than 8.91 in the basic treatment group. CONCLUSION: On the base of the routine treatment with western medicine, moxibustion therapy supplemented relieves the clinical symptoms, reduces the levels of inflammatory indexes, i.e. IL-6 and CRP as well as improves the absolute number of peripheral T lymphocyte subsets. The clinical therapeutic effect of such regimen with moxibustion supplemented is significantly better than the simple routine treatment of western medicine.