Prevalence and related factors of depression, anxiety, and insomnia among medical staff during COVID-19 pandemic

[Background] The epidemic of coronavirus disease 2019 (COVID-19) seriously affects the psychological status of medical staff who directly face the risk of the disease. [Objective] This study investigates the prevalence and related factors of depression, anxiety, and insomnia among medical staff during the COVID-19 pandemic. [Methods] From February 13 to March 1, 2020, a network questionnaire survey was conducted among 482 medical staff selected by convenience sampling. A self-designed questionnaire was used to investigate the basic demographic information and COVID-19-related questions. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI) were used to estimate the prevalence of depression, anxiety, and insomnia among the medical staff. Stepwise multiple linear regression analysis was performed with PHQ-9 score, GAD-7 score, and ISI score as dependent variables. Multivariate logistic regression analysis (forward-conditional method) on depression, anxiety, and insomnia as dependent variables was performed with basic demographic information and COVID-19-related questions as independent variables. [Results] Among the surveyed medical staff, the prevalence rates of depression, anxiety, and insomnia were 14.3%, 11.2%, and 23.2%, respectively. There were no significant differences in the prevalence rates among different age, gender, local risk level, and occupation groups and those aiding Hubei Province or not. The medical staff who directly contacted fever or diagnosed patients had more serious depression (b=1.73, 95%CI: 0.79-2.66) and insomnia (b=2.43, 95%CI: 1.48-3.39) and a higher risk of insomnia (OR=1.89, 95%CI: 1.21-2.96). The medical staff whose current protective measures cannot prevent infection had more serious depression (b=1.72, 95% CI: 0.65-2.80), anxiety (b=1.75, 95% CI: 0.76-2.75), and insomnia (b=1.73, 95% CI: 0.63-2.82), and had a higher risk of depression (OR=1.97, 95% CI: 1.11-3.49), anxiety (OR=3.00, 95%CI: 1.64-5.46), and insomnia (OR=1.79, 95%CI: 1.08-2.96). [Conclusion] During the COVID-19 epidemic, the risks of depression, anxiety, and insomnia among selected medical staff are increased compared with the non-epidemic period. Occupational exposure to high-risk groups and protective measures would significantly affect mental health of medical staff.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Clinical Characteristics of Strongyloidiasis during the Covid-19 Pandemic: Systematic Scoping Review

INTRODUCTION: Reactivation of Strongyloides stercoralis related to COVID-19 infection or treatment has been an emerging topic of interest, although characteristics of Strongyloides infection in COVID-19 patients are not yet well characterized. This study aims to summarize the existing evidence of Strongyloides infection in COVID-19 patients and figure out the future areas of research. METHOD(S): According to the PRISMA Extension for Scoping Reviews, we performed a search on MEDLINE and EMBASE for articles with keywords including"Strongyloides," "Strongyloidiasis," and "COVID-19," from the inception of these databases to June 5, 2022. RESULT(S): A total of 104 articles were found. After excluding duplication and thorough reviews, 11 articles, including two observational studies, one conference , and nine case reports or series, were included. Two observational studies focused on revealing the prevalence of Strongyloides screening in COVID-19 patients and clinical follow-up. One study from Spain, including 227 cases of COVID-19 and Strongyloides co-infection, noted that four patients developed critical hyperinfection leading to the expiration of one patient. Among the included cases, patients were mostly from low- or middle-income countries (LMICs) who suffered from severe or critical COVID-19. 90% received 6mg/day dexamethasone for 7-10 days or higher prednisone-equivalent doses of corticosteroids. 60% and 20% had Strongyloides hyperinfection and disseminated infection, respectively. Interestingly, patients had either eosinopenia or normal eosinophil counts while they were treated for COVID-19, and they were likely to develop eosinophilia later in the course leading to the diagnosis of Strongyloidiasis. CONCLUSION(S): This systematic review summarizes the clinical characteristics of Strongyloidiasis in COVID-19 infection. Likely due to COVID-19-related eosinopenia and the effect of corticosteroids, patients may not necessarily have overt eosinophilia despite the parasitic infection. Developing a Strongyloides screening strategy for COVID-19 patients based on patients' demographics and origins may help diagnose the condition. While further studies to identify risks and precipitants associated with the onset of Strongyloidiasis in crucial, increased awareness of the critical condition is warranted.

Extreme events and carbon emissions: What we could learn from decomposition of national- and sector-carbon emission

The lockdown policies related with the COVID-19 pandemic brings carbon emissions slump, but emissions potentially restore to increase as lockdown policies relaxed and the economy recovers. In this context, this study aims to explore the changes in carbon emissions and their underlying factors in the post-COVID-19 era from a national and sectoral perspective by drawing on the experience of carbon emissions before and after the 2008 global crisis. The latest extreme event and carbon emission trends might provide some implications for curbing potential emission rebound after the pandemic. The results indicate that, (i) developing countries like China and India still struggle with carbon reduction, which need more efforts made to control continuously increased carbon emission;(ii) energy intensity and economic level are respectively major contributor and inhibitor to national and industrial emission reduction whether in developing or developed countries, while in developed countries, energy intensity has a slightly stronger impact on carbon emissions than economic level. Carbon intensity had both positive and negative impact on carbon emission, and population scale usually drove carbon emission increase, particularly in developing countries like India;(iii) Industrial carbon emissions vary widely across economies, but most industrial carbon emissions continue to decrease in developed countries while increase in developing countries. Therefore, we contend that energy intensity is the key point to prevent a potential rebound of emission in post-COVID-19 era. © 2022

Covid-19 Diagnosis via Voice Using Online Sequential Extreme Learning Machine

With the worldwide spreading of Coronavirus disease 2019 (Covid-19) pandemic, besides the traditional diagnosing approach, Artificial Intelligence provides additional support for the pre-diagnosis of Covid-19 by using data such as patients' images, and sounds, etc. Being able to recognize Covid-19 positive patients quickly and correctly is the key to preventing the expansion of the disease. However, the existing Covid-19 diagnosis models still face challenges due to the complex network structure and additional medical examination. It takes much time to return a diagnosis result. In this paper, a diagnostic model is proposed as an early work for Covid-19 diagnosis using sound samples. The features of sound signals are expressed by Mel Frequency Cepstral Coefficients, which are input into the Online Sequential Extreme Learning Machine for normal/abnormal detection. Data from an open-source database were used to train the proposed model, the experiments show that using vowel pronunciations the model can achieve an accuracy of 96.4% on average, with about 10 times faster for testing than the Support Vector Machine. © 2022 IEEE.

Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation

The transformation of old and new technologies, the normalized crisis situation, and global economic integration blur industrial boundaries and cause the business pattern to fluctuate and become unsustainable, especially when considering the impact of the COVID-19 pandemic. This study focuses on crisis situations and combines the types of technology innovation (introduction, socialization, and differentiation) and sustainable business model innovation (efficiency, novelty, and co-benefit innovations) to theoretically analyze the dynamic impact of technology innovation on different types of sustainable business model innovations. Using a multi-case comparative analysis method, typical enterprises are selected as the sample cases. This study discusses the influences of different technology innovation schemes on sustainable business model innovation in different crisis situations. Enterprises should consider introducing technology for rapid value updates to maintain an efficient business model in an urgent production factor crisis, search for valuable and scarce technical components or introduce other entities to facilitate technical cooperation and form a novel business model in a market environment crisis, and use big data, artificial intelligence, and other technologies to create co-benefit business model innovation in a business ethics crisis. The conclusion guides enterprises and provides a framework for the optimal technical scheme under the corresponding crisis. © 2022 by the authors.

Evaluating the poison prevention and medicine safety program for English as a Second Language (ESL) instructors and students

Background: English as a Second Language (ESL) classes provide an ideal environment to provide health education and collaboration. The PCC developed a Poison Prevention and Medicine Safety Program for ESL Instructors and Students. Each lesson promotes skills-based learning along with literacy development based on goals and measurable objectives. The lessons incorporated PCC-related vocabulary words, role playing (calling the PCC, asking questions about medicines), word development activities, and using PCC materials. Discussion sections provided an opportunity for the students to familiarize themselves with the PCC materials and content. Guided comprehension questions and answers illustrated the teaching material and objectives for the lesson. Although initially in-person, due to the COVID-19 outbreak, ESL classes were moved to remote formats. As a result, the PCC ESL Program was also formatted in an electronic version. Our goals were to learn how the program was utilized, the comfort of the participants with the material, and the perceived interest and comfort of participants with the curriculum. Method(s): One-hour webinar training sessions for ESL instructors were offered to present the program components. ESL instructors throughout the PCC catchment area were invited to participate via email. After the training session, each participant was emailed the electronic version of the program and instructor's guide to use for teaching online classes. Participants were able to request the manual if needed for in-person teaching. Follow-up surveys were sent via email 1 month after each training using Survey Gizmo. The participants were asked to rate program content, PCC materials, and student reactions to the topics. Three email attempts were made to complete the follow-up survey. Result(s): Between September 2021 and January 2022, 10 training sessions were provided to a total of 154 participants. Follow-up surveys were collected from training participants in October 2020, January, June, and November 2021, and February 2022. A total of 61 participants completed 80 follow-up surveys (12 participants completed more than one survey). Of the 61 participants, 29 surveys (completed by 20 participants) reported using the PCC ESL program. Most (26;90%) used the content online, two in person and one used it with another lesson. The activity sheets used most often were role playing activities: Calling the PCC (21/22;95%) and Asking Questions about Medicines (14/22;64%). Most responses rated the brochures (16/29;55%), fact sheets (17/29;59%) and instructor's guide (20/29;69%) as "very helpful." All responses (23/23;100% indicated they were "comfortable" or "very comfortable" presenting the material. Participants that felt most of students they taught would be either "extremely" or "somewhat comfortable" (22/29;76%) calling the PCC after the lessons. It was also reported that students were more interested in the topic of medicine safety (23/29;79%) compared to poison prevention (18/26;69%). All responses (29;100%) indicated they would recommend the PCC program to other ESL instructors. Conclusion(s): Offering a PCC ESL program focusing on poison prevention and medicine safety combines authentic learning with health information. Follow-up surveys showed that participants were comfortable presenting the content and would recommend the program. Future steps include an evaluation of the training once classes are fully back to in-person.

ATYPICAL PRESENTATION OF MUCORMYCOSIS IN A NONSEVERE COVID-19 PATIENT

SESSION TITLE: COVID-19 Case Report Posters 2 SESSION TYPE: Case Report Posters PRESENTED ON: 10/19/2022 12:45 pm - 01:45 pm INTRODUCTION: Coronavirus Disease 2019 (COVID-19) infection ranges from asymptomatic to severe disease as defined by WHO. Emerging fungal infections such as mucormycosis and aspergillosis have been described in critically ill patients, most notably in India, when treated with steroids due to severe COVID-19 [1]. We present a unique case of an atypical presentation of mucormycosis in a non-severe COVID-19 patient not treated with corticosteroids. CASE PRESENTATION: A 19-year-old male with type 1 diabetes mellitus presented to the emergency room for evaluation of shortness of breath, nausea and fatigue. History was significant for insulin noncompliance with home blood glucose in the 300s and a positive COVID-19 test one day prior to arrival. Initial vitals positive for tachycardia, tachypnea and hypertension while on room air. Labs showed leukocytosis 14,000 cells/uL, bicarbonate 7.2 mmol/L, anion gap 24.8, glucose 428 mg/dL, beta-hydroxybutyrate 58 mg/dL and nucleic acid amplification COVID-19 positive. Physical exam showed left eyelid and facial swelling, nasal congestion without sinus tenderness or other deformity, and kussmaul breathing pattern. CT face confirmed left periorbital cellulitis. Transfer to tertiary center for Ophthalmology evaluation was attempted but refused due to capacity. He was started on diabetic ketoacidosis treatment as well as broad spectrum antibiotics with the assistance of Infectious Disease, however COVID-19 treatments were held due to mild illness. Despite these interventions, he became stuporous and amphotericin was started. MR Brain showed findings suggestive of cavernous sinus thrombosis, acute ischemia and local mass effect. ENT then performed an endoscopic antrostomy with ethmoidectomy and biopsies were taken. Pathology resulted as invasive fungal sinusitis with 90° branching hyphae confirming mucormycosis and a lumbar drain was placed with intrathecal amphotericin started for concern of mucormycosis meningitis. The patient was ultimately transferred to a tertiary care center where he expired. DISCUSSION: Mucormycosis, an angioinvasive fungal infection affecting the immunocompromised and diabetics, is rare but deadly. The estimated prevalence in the United States is 0.16 per 10,000 hospital discharges [2] and bears a mortality rate of 46%. Recent systematic reviews report 275 cases of COVID associated mucormycosis with 233 in India [1] with 76.3% receiving corticosteroids prior to diagnosis [3], likely contributing to an immunocompromised state. Our case demonstrates that despite not receiving corticosteroids, even those with mild COVID-19 are at risk for this disease. CONCLUSIONS: Patients with diabetes, immunocompromised states, and now COVID-19, presenting with orbital symptoms warrant consideration of mucormycosis. Prompt management of the underlying condition, IV amphotericin, and possible debridement may increase survival. Reference #1: John TM, Jacob CN, Kontoyiannis DP. When Uncontrolled Diabetes Mellitus and Severe COVID-19 Converge: The Perfect Storm for Mucormycosis. J Fungi (Basel). 2021 Apr 15;7(4):298. doi: 10.3390/jof7040298. PMID: 33920755;PMCID: PMC8071133. Reference #2: Kontoyiannis DP, Yang H, Song J, et al. Prevalence, clinical and economic burden of mucormycosis-related hospitalizations in the United States: a retrospective study. BMC Infect Dis. 2016;16(1):730. Published 2016 Dec 1. doi:10.1186/s12879-016-2023-z Reference #3: Singh AK, Singh R, Joshi SR, Misra A. Mucormycosis in COVID-19: A systematic review of cases reported worldwide and in India. Diabetes Metab Syndr. 2021 Jul-Aug;15(4):102146. doi: 10.1016/j.dsx.2021.05.019. Epub 2021 May 21. PMID: 34192610;PMCID: PMC8137376 DISCLOSURES: No relevant relationships by james abraham No relevant relationships by christian ALMANZAR ZORRILLA No relevant relationships by Grace Johnson No relevant relationships by Thanuja Neerukonda No relevant relationships by Blake Spain No relevant re ationships by Michael Su No relevant relationships by Steven Tran No relevant relationships by Margarita Vanegas No relevant relationships by Alexandra Witt

Time phased scheduling and Disease grading management to achieve efficient rescue of batches of COVID-19 infected patients in shelter hospital

Objective To introduce how to quickly set up a doctor team to achieve efficient treatment of batchs COVID-19 patients in Changchun GongTi shelter hospital. Methods A cross-sectional study was conducted to analyze the basic situation of the doctors who supported the Changchun Gongti shelter hospital. The workload is the total number of patients from April 3 to 28, 2022. At the beginning of the task, the first week and the third week of the task, the five point scoring method was used to reflect the doctor's physical and mental state, stress state and rescue achievement. The time phased scheduling and disease grading management were fully implemented after 10 days of operation in the shelter. The doctors' ward round efficiency and self scoring changes before and after the implementation of the plan were compared, and the rescue results were summarized. Results Total of 56 doctors (the Sichuan medical assistance team to Changchun), who undertook the work of Changchun Gongti shelter Hospital, came from 12 professional departments of 14 hospitals. By internal and external linkage-time phased scheduling and information-based patient zoning and grading management, the admission time of batch patients was shortened from (14.64±10.09) min to (6.80±5.10) min per person(P<0.05), the number of patients that each doctor can view per hour ranges from (28.50±12.26) to (68.43±19.95) (P<0.01). A total of 1 293 patients were treated. There were no deaths, no accidents and no mild illness to severe illness in shelter hospital. 35 doctors completed a continuous survey. Before and after the implementation of those measures, the average physical state scores and the psychological state scores of doctors improved (P=0.03), the self-score of stress feeling decreased (P<0.01), and the self-score of professional achievement increased (P<0.01). Conclusions To adapt to the characteristics of emergency treatment for batch COVID-19 patients, the internal and external linkage-time phased scheduling and information-based patient zoning and grading management could help the temporarily convened doctors deal with a large number of patients efficiently, reduce work stress and exposure risk in shelter hospital. © 2022 Chinese Medical Association. All rights reserved.

Prevalence and related factors of depression, anxiety, and insomnia among medical staff during COVID-19 pandemic

[Background] The epidemic of coronavirus disease 2019 (COVID-19) seriously affects the psychological status of medical staff who directly face the risk of the disease. [Objective] This study investigates the prevalence and related factors of depression, anxiety, and insomnia among medical staff during the COVID-19 pandemic. [Methods] From February 13 to March 1, 2020, a network questionnaire survey was conducted among 482 medical staff selected by convenience sampling. A self-designed questionnaire was used to investigate the basic demographic information and COVID-19-related questions. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI) were used to estimate the prevalence of depression, anxiety, and insomnia among the medical staff. Stepwise multiple linear regression analysis was performed with PHQ-9 score, GAD-7 score, and ISI score as dependent variables. Multivariate logistic regression analysis (forward-conditional method) on depression, anxiety, and insomnia as dependent variables was performed with basic demographic information and COVID-19-related questions as independent variables. [Results] Among the surveyed medical staff, the prevalence rates of depression, anxiety, and insomnia were 14.3%, 11.2%, and 23.2%, respectively. There were no significant differences in the prevalence rates among different age, gender, local risk level, and occupation groups and those aiding Hubei Province or not. The medical staff who directly contacted fever or diagnosed patients had more serious depression (b=1.73, 95%CI: 0.79-2.66) and insomnia (b=2.43, 95%CI: 1.48-3.39) and a higher risk of insomnia (OR=1.89, 95%CI: 1.21-2.96). The medical staff whose current protective measures cannot prevent infection had more serious depression (b=1.72, 95% CI: 0.65-2.80), anxiety (b=1.75, 95% CI: 0.76-2.75), and insomnia (b=1.73, 95% CI: 0.63-2.82), and had a higher risk of depression (OR=1.97, 95% CI: 1.11-3.49), anxiety (OR=3.00, 95%CI: 1.64-5.46), and insomnia (OR=1.79, 95%CI: 1.08-2.96). [Conclusion] During the COVID-19 epidemic, the risks of depression, anxiety, and insomnia among selected medical staff are increased compared with the non-epidemic period. Occupational exposure to high-risk groups and protective measures would significantly affect mental health of medical staff. © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.

Exploring beyond the limit: How comparative stochastic performance affects retesting outcomes in six commercial SARS CoV-2 nucleic acid amplification tests.

Objectives: To examine the comparative stochasticity profile of six commercial SARS-CoV-2 nucleic acid amplification tests (NAATs) and how this may affect retesting paradigms. Methods: Commercial quality control (QC) material was serially diluted in viral transport media to create a panel covering 10-10,000 copies/ml. The panel was tested across six commercial NAATs. A subset of high cycle threshold results was retested on a rapid PCR assay to simulate retesting protocols commonly used to discriminate false positives. Results: Performance beyond the LOD differed among assays, with three types of stochasticity profiles observed. The ability of the rapid PCR assay to reproduce a true weak positive specimen was restricted to its own stochastic performance at the corresponding viral concentration. Conclusion: Stochastic performance of various NAATs overlap across low viral concentrations and affect retesting outcomes. Relying on retesting alone to discriminate false positives risk missing true positives even when a more sensitive assay is deployed for confirmatory testing.

A Retrospective Study of the Epidemiologic and Clinical Characteristics of COVID-19 among Hospitalized Patients in Quanzhou, China

Coronavirus disease 2019 (COVID-19) has spread throughout China. However, information about COVID-19 in cities and regions outside Wuhan is limited and the indicators that predict the length of hospital stay for patients with COVID-19 are unclear. Therefore, we collected clinical data from 47 patients with COVID-19 in Quanzhou City. The median age was 38 years [interquartile range (IQR): 31-50 years], and 24 (51%) were male. There were 8 mild, 36 moderate, and 3 severe/critical cases. The median interval from exposure to disease onset was 13 days (IQR: 8-18 days). The incidence of severe/critical cases was 33% (3/10) in patients with hypertension. Common symptoms included fever (83%), cough (77%), fatigue (40%), a sore, dry throat (28%), and diarrhea (21%). One patient (2%) developed respiratory distress syndrome on day 13 of inpatient treatment. Six patients had leukopenia, 17 had elevated C-reactive protein (CRP), and 8 had lymphocytopenia and elevated lactate dehydrogenase (LDH). The median length of hospitalization was 22 days (IQR: 16-30 days). Dynamic monitoring of LDH, CRP, and neutrophil-lymphocyte ratio predicted whether length of hospitalization would exceed 21 days. Most patients presented with mild and moderate disease. Patients with hypertension were more likely to become severe or critical. Dynamic monitoring of LDH, CRP, and neutrophil-lymphocyte ratio levels can help predict delayed discharge from the hospital. © 2022 Lippincott Williams and Wilkins. All rights reserved.

Single-amplicon, Multiplex Real-time RT-PCR with Tiled Probes to Detect SARS-CoV-2 spike Mutations Associated with Variants of Concern

Background. Detection and surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is of great public health importance. Broadly accessible and inexpensive assays are needed to enhance variant surveillance and detection globally. We developed and validated a single-reaction multiplex real-time RT-PCR (the Spike SNP assay) to detect specific mutations associated with variants of concern (VOC). Methods. A single primer pair was designed to amplify a 348 bp region of spike. Probes were initially designed with locked nucleic acids (LNAs) to increase probe melting temperature, shorten probe length, and specifically detect 417K, E484K, and N501Y (Figure). The assay was optimized and evaluated using characterized variant sample pools. Clinical evaluation was performed on a convenience set of residual nasopharyngeal swabs, and variant calls were confirmed by SARS-CoV-2 genomic sequencing in a subset of samples. Following the initial evaluation, unmodified probes (without LNAs) were designed to detect L452R, L452Q, and E484Q. Figure. Spike SNP distinguishes mutations occurring in different lineages (A-C). Representative results of variant detection a single Spike SNP run are shown for mutations in the codons for 4177K (A) and mutations that encode 484K (B) and 501Y (C). Curves show dilutions of the following variants: blue, BEI 52286 (wild type);pink B.1.1.7;purple, B1.525;and green, P.1. Variant pools were used for B.1.17, B.1.525, and P.1 strains. Curves are displayed for a given dilution in each channel and result interpretation is shown (D). Results. The lower limit of 95% detection was 2.46 to 2.48 log10 GE/mL for the three targets (~1-2 GE/reaction). Among 253 nasopharyngeal swabs with detectable SARS-CoV-2 RNA, the Spike SNP assay was positive in 238 (94.1%), including all samples with Ct values < 30 (220/220) for the N2 target and 18/33 samples with N2 Ct values ≥ 30. Results were confirmed by SARS-CoV-2 genomic sequencing in 50/50 samples (100%). Subsequent addition of the 452R probe did not affect performance for the original targets, and probes for 452Q and 484Q performed similarly to LNAmodified probes. Conclusion. The Spike SNP assay provides fast, inexpensive and sensitive detection of specific mutations associated with SARS-CoV-2 VOCs, and the assay can be quickly modified to detect new mutations in the receptor binding domain. Similar analytical performance of LNA-modified and unmodified probes presents options for future assay customization that balance the shorter probe length (LNAs) and increased accessibility (unmodified). The Spike SNP assay, if implemented across laboratories offering SARS-CoV-2 testing, could greatly increase capacity for variant detection and surveillance globally.

Research Progress on Nano Photonics Technology-based SARS-CoV-2 Detection

The worldwide outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in the infection even death of people all over the world, which has gravely affected our daily life. Globalization of trade and convenient transportation immensely accelerate the propagation of the epidemic, which brings severe difficulties to prevent the epidemic. Therefore, rapid and accurate diagnosis of infected persons and screening of asymptomatic persons play an important role. At present, the most widely used method for the detection of SARS-CoV-2 is reverse transcription-polymerase chain reaction (RT-PCR), which still has some problems including complicated sample storage and transportation, complex operations and so on. These shortcomings cause the hindrances to achieve fast, simple, efficient diagnostic testing under the normalization of the epidemic. In the past few years, with the development of nanotechnology, bio-sensing methods based on nano photonics have become a research hotspot. Label-free optical methods have been widely explored for bio-sensing including virus detection, such as surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), whispering gallery mode (WGM) and colorimetry. These approaches offer available alternatives to improve the speed, sensitivity, and accuracy of optical bio-sensing, owing to the enhanced interaction between the nanostructure and the biomarkers. This review summarizes these nano photonics-based bio-sensing technologies for the detection of SARS-CoV-2. Moreover, the detection mechanism of biomarkers by nano photonics is explained, and the further development trends are discussed. In view of the difficulties in manufacturing nano photonics structures, a new strategy of large-area preparation of nano photonics structures using nano green printing technology is proposed, which provides theoretical and technical support for accurate and effective prevention and control of the epidemic diseases. © 2022 Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences.

Polarization Over Vaccination: Ideological Differences in Twitter Expression About COVID-19 Vaccine Favorability and Specific Hesitancy Concerns

Vaccine hesitancy has been a growing public health issue, but during COVID-19, understanding vaccine hesitancy and promote vaccine favorability takes on a troubling immediacy. With the growing political polarization on scientific issues, the COVID-19 vaccine-related sentiment has recently been divided across ideological lines. This study aims to understand how vaccine favorability and specific vaccine-related concerns including possible side effects, distrust in medical professionals, and conspiratorial beliefs concerning COVID-19 vaccines were articulated and transmitted by Twitter users from opposing ideological camps and with different follower scopes. Using a combination of computational approaches, including supervised machine-learning and structural topic modeling, we examined tweets surrounding COVID-19 vaccination (N = 16,959) from 1 March to 30 June 2020. Results from linear mixed-effects models suggested that Twitter users high on conservative ideology and with a standard instead of large follower scope tend to express less favorable vaccine-related sentiments and talk more about vaccine side effects, distrust of medical professionals, and conspiracy theories. There is also an interaction effect where liberals with large follower scope expressed the least amount of distrust of medical professionals, whereas extreme conservatives expressed greater distrust for health professionals, regardless of their follower scope. Finally, structural topic modeling revealed distinct topical focuses among liberal and conservative users. Theoretical and practical implications for leveraging social media in effective health communication practice were discussed. © The Author(s) 2021.

Comparison of the clinical and CT features between COVID-19 and H1N1 influenza pneumonia patients in Zhejiang, China.

OBJECTIVE: To explore the different clinical and CT features distinguishing COVID-19 from H1N1 influenza pneumonia. PATIENTS AND METHODS: We compared two independent cohorts of COVID-19 pneumonia (n=405) and H1N1 influenza pneumonia (n=78), retrospectively. All patients were confirmed by RT-PCR. Four hundred and five cases of COVID-19 pneumonia were confirmed in nine hospitals of Zhejiang province, China from January 21 to February 20, 2020. Seventy-eight cases of H1N1 influenza pneumonia were confirmed in our hospital from January 1, 2017 to February 29, 2020. Their clinical manifestations, laboratory test results, and CT imaging characteristics were compared. RESULTS: COVID-19 pneumonia patients showed less proportions of underlying diseases, fever and respiratory symptoms than those of H1N1 pneumonia patients (p<0.01). White blood cell count, neutrophilic granulocyte percentage, C-reactive protein, procalcitonin, D-Dimer, and lactate dehydrogenase in H1N1 pneumonia patients were higher than those of COVID-19 pneumonia patients (p<0.05). H1N1 pneumonia was often symmetrically located in the dorsal part of inferior lung lobes, while COVID-19 pneumonia was unusually showed as a peripheral but non-specific lobe distribution. Ground glass opacity was more common in COVID-19 pneumonia and consolidation lesions were more common in H1N1 pneumonia (p<0.01). COVID-19 pneumonia lesions showed a relatively clear margin compared with H1N1 pneumonia. Crazy-paving pattern, thickening vessels, reversed halo sign and early fibrotic lesions were more common in COVID-19 pneumonia than H1N1 pneumonia (p<0.05). Pleural effusion in COVID-19 pneumonia was significantly less common than H1N1 pneumonia (p<0.01). CONCLUSIONS: Compared with H1N1 pneumonia in Zhejiang, China, the clinical manifestations of COVID-19 pneumonia were more concealed with less underlying diseases and slighter respiratory symptoms. The more common CT manifestations of COVID-19 pneumonia included ground-glass opacity with a relatively clear margin, crazy-paving pattern, thickening vessels, reversed halo sign, and early fibrotic lesions, while the less common CT manifestations of COVID-19 pneumonia included consolidation and pleural effusion.

Mesenchymal stem cells and management of COVID-19 pneumonia.

Human coronavirus, hCoV-19, is highly pathogenic with severe pneumonia associated with rapid virus replication. Arising in Wuhan China December 2019, the current COVID-19 epidemic has rapidly grown with person-to-person infection expanding to become a global health emergency now on pandemic scale. Governments will not be able to minimise both deaths from COVID-19 and the economic impact of viral spread in mitigation of this current COVID-19 pandemic, according to Anderson et al. 2020 [1], Keeping mortality as low as possible will be the highest priority for individuals; hence governments must put in place measures to ameliorate the inevitable economic downturn. The current global picture shows small chains of transmission in many countries and large chains resulting in extensive spread in a few countries, such as Italy, Iran, South Korea, and Japan. Most countries are likely to have spread of COVID-19, at least in the early stages, before any mitigation measures have an impact. The scale of the problem is massive. Here I consider new approaches to improve patient's biological resistance to COVID-19 using stem cells, and how benefit might be scaled and simplified using synthetic stem cells to meet logistical needs within a short time frame.

COVID-19 lockdown: de-risking exit by protecting the lung with leukaemia inhibitory factor (LIF)

There are two key needs in COVID-19 management: (i) to reduce SARS-CoV-2 viral infection rate;and (ii) to reduce death rate of those infected - the subject of this commentary. The current WHO estimated global mortality rate is 3.4% (March 2020) and the global death toll has now past 200,000 (April 2020). Without therapy the COVID-19 pandemic is escalating exponentially: from the first reported death in Wuhan China 10th January 2020, it took 91 days for the global death toll to pass 100,000 - then a further 16 days to reach 200,000. A vaccination program will take 1–2 years to roll out, once safety and efficacy is proven. Anti-virals are being sought mainly amongst repurposed drug candidates but also with combinatorial screening of libraries, for example to block virus binding angiotensin converting enzyme 2 (ACE2) - ACE2 providing the receptor on cells that allows viral entry. Cell-based approaches include stem cells and exosomes but these will never meet scale of need whilst also carrying risk of viral transmission if contaminated. Countries have introduced Population control with social distancing and lockdown to isolate individuals: this has reduced infectivity rate - “R” - where R denotes the average number of people an infected person will spread the illness to. But, after lockdown, the virus remains: the probability of R increasing again is high. The new danger is exit from lockdown. Here, leukaemia inhibitory factor (LIF) represents an untapped resource to boost the lung's own resistance to developing COVID-19 - reducing risk of severe disease as nations cautiously leave lockdown to return to normality.