Instant Message App-Based COVID-19 Outbreak Reminder Service Via Climate-Based Prediction

Now that the COVID-19 pandemic is serious, in order to maintain the quality of life and safety, it is very important to remind people of the outbreak. Because when the SARS pandemic occurred in the past, it was found that the pandemic situation had a certain relationship with the weather. Therefore, we tried to analyze the relationship between the pandemic situation and the weather by analyzing big data information, and we also tried to conclude the possible pandemic situation and climate-related prediction rules through big data. We hope to use the most popular instant messaging software - LINE in Taiwan to assist in the auxiliary reminders of the pandemic. When people use the weather pandemic robot, they can also find the correlation between the weather and the pandemic, and it also helps to remind the public to pay more attention to their own health. © 2022 IEEE.

Deep Learning Mask Face Recognition with Annealing Mechanism

Face recognition (FR) has matured with deep learning, but due to the COVID-19 epidemic, people need to wear masks outside to reduce the risk of infection, making FR a challenge. This study uses the FaceNet approach combined with transfer learning using three different sizes of validated CNN architectures: InceptionResNetV2, InceptionV3, and MobileNetV2. With the addition of the cosine annealing (CA) mechanism, the optimizer can automatically adjust the learning rate (LR) during the model training process to improve the efficiency of the model in finding the best solution in the global domain. The mask face recognition (MFR) method is accomplished without increasing the computational complexity using existing methods. Experimentally, the three models of different sizes using the CA mechanism have a better performance than the fixed LR, step and exponential methods. The accuracy of the three models of different sizes using the CA mechanism can reach a practical level at about 93%.

[Epidemiological characteristics of COVID-19 caused by 2019-nCoV Delta variant in Shangyu district, Shaoxing of Zhejiang province].

Objective: To investigate the epidemiological characteristics of COVID-19 caused by 2019-nCoV Delta variant in Shangyu district, Shaoxing of Zhejiang province in 2021, and provide evidence for the improvement of COVID-19 control and prevention measures. Methods: The incidence data of COVID-19 in Shangyu from December 7 to 21, 2021 was obtained from Shangyu District Center for Disease Control and Prevention. The epidemiological characteristics of the cases, i.e. the population, time and space distributions, were analyzed, and the incubation period and time-varying reproduction numbers (Rt) were calculated. Results: From December 7 to 21, 2021, a total of 380 COVID-19 cases caused by 2019-nCoV Delta variant were detected in Shangyu, the median age of the cases was 52 years, M (Q1，Q3: 38, 61). The male to female ratio of the cases was 1∶1.25, and the cases were mainly workers (36.58%) and farmers (27.63%). The epidemic affected 9 townships (or community) of Shangyu, especially Caoe and Baiguan communities with the cases accounting for 57.10% and 31.53% respectively. The median incubation period of cases was 4.00 days, M (Q1，Q3: 3.00, 5.75). The basic reproduction number (R0) was 4.06, and the Rt was 5.62 in early phase of the outbreak (the highest) and continuously decreased to less than 1.00 within 10 days after the detection of the outbreak. The number of COVID-19 cases decreased to 0 within 14 days after the outbreak (December 7-21), and the main detection methods were screening in centralized isolation (55.53%) and home isolation (40.00%). The infection rates of close contacts and secondary close contacts were 2.06% and 0.46% respectively. Conclusion: The epidemic of COVID-19 in Shangyu characterized by short incubation period, large number of infected people, and case clustering, suggesting the strong transmission of Delta variant (B.1.617.2). Comprehensive prevention and control measures, such as management of close contacts and secondary close contacts, and high-risk area, are essential for the rapid control of the epidemic.

Successful interruption of seasonal influenza transmission under the COVID-19 rapid response in Zhejiang Province, China.

OBJECTIVES: The objective of this study was to evaluate whether the non-pharmaceutical interventions (NPIs) introduced to curb the spread of coronavirus disease 2019 (COVID-19) also interrupted the transmission of influenza. STUDY DESIGN: This is a descriptive epidemiological study. METHODS: Data on changes in the number of reported influenza cases, number of influenza-like illness (ILI) visits, ILI percentage and influenza virus positivity were compared between the first 18 weeks of 2020 and the same period of 2019. RESULTS: The changes in the weekly average number of influenza cases were statistically significant between 2020 and 2019 (-4319 vs -525 per week; P < 0.05). The slopes of regression lines for the number of ILI visits were also statistically significant between 2020 and 2019 (-911 vs -98 per week; P < 0.05). CONCLUSIONS: This study found that the prevalence of influenza was substantially decreased when NPIs were implemented for the containment of COVID-19.

Efficacy analysis of severe acute respiratory syndrome coronavirus 2 DNA vaccine and recombinant subunit vaccine inducing neutralizing antibodies in mice

Objective To investigate the efficacy of neutralizing antibodies induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) receptor-binding domain (RBD) and spike (S) protein S1 subunit. Methods The SARS-CoV-2 RBD and mouse immunoglobulin G1 (IgG1) Fc fragment (mFc) fusion protein expression plasmid pVRCRBD- mFc was constructed and transfected into human embryonic kidney 293T cells. The RBD-mFc fusion protein in the cell supernatants was detected by Western blotting. The effect of RBD-mFc in cell supernatants and CHO recombinant S1-human IgG1 Fc (S1-hFc) fusion protein on SARS-CoV-2 infection was detected by microneutralization test. BALB/c mice were immunized with plasmid pVRC-RBD-mFc and S1-hFc fusion protein via intramuscular injection. Anti-S1 IgG antibodies in mouse sera were detected by enzyme-linked immunosorbent assay (ELISA), and the virus neutralization activity of mouse sera was detected by microneutralization test. Results The RBD-mFc fusion protein could be detected in the culture supernatants of 293T cells transfected with the plasmid pVRC-RBD-mFc, the concentrated supernatants and the S1- hFc fusion protein could inhibit SARS-CoV-2 infection on Vero E6 cells in a concentration-dependent manner. Anti-S1 IgG antibodies could be detected in the sera of mice immunized with plasmid pVRC-RBD-mFc and S1-hFc fusion protein, and the sera of both groups could neutralize SARS-CoV-2 infection. The serum antibody titers and virus neutralization activity of S1- hFc fusion protein immunized mice were significantly higher than those of plasmid pVRC-RBD-mFc immunized mice (both P<0.01). Conclusion Both SARS-CoV-2 RBD and S1 subunit may be used as effective vaccine antigens. Compared with DNA vaccine, recombinant subunit vaccine can induce neutralizing antibody more effectively..