Novel coronavirus 2019-nCoV development prediction using the SEIR model

In this paper, we use the SEIR model to predict the outbreak of the novel coronavirus 2019-nCoV, and when the outbreak will begin. We predicted and compared the development of an outbreak where certain measures are taken and measures are not taken, and then we compared with the actual data of the city of Wuhan and study further approaches to responding to such outbreaks. © 2022 Author(s).

Facial Recognition using the OpenCV Libraries of Python for the Pictures of Human Faces Wearing Face Masks during the COVID-19 Pandemic

In this research paper, we are going to see the profound scientific use of computer technology applied in the fields of AI and Machine Learning primarily focused on Image Processing and Pattern recognition. Techniques such as ours are widely used to recognize real life objects including human faces etc. Thus, using such techniques, we can recognize a person from pictures. Using face recognition modules from python's huge collection of libraries, we are able to train the model to recognize people while wearing masks. Since when masks are worn, half of the facial features are lost, therefore developing a technique to recognize faces in such way is crucial. This specific technology of face detection is used in biometrics, video surveillance, etc. Therefore it's at utmost importance to increase the security as well as efficiency whilst making the recognition faster. © 2021 IEEE.

Age and Cultural Differences in Recognitions of Emotions from Masked Faces among Koreans and Americans.

This study investigates age and cultural differences in the negative effects of senders' wearing masks on receivers' readabilities of senders' facially expressed emotions in interpersonal interactions. An online experiment was thus conducted with Koreans and Americans aged over 20 years. Based on sampling quotas by nationality, age group and gender, Korean (n = 240) and American (n = 273) participants were recruited from panel members of a Korean research company and Amazon's Mechanical Turk via email and the website, respectively. The participants played receiver roles to infer senders' facially expressed emotions presented in photos in the experiment. They judged emotions facially expressed by the senders without masks and with masks are shown in photos. The results revealed that the senders' wearing masks reduced the readabilities of the senders' facially expressed anger among participants aged 30-49 years more than among participants aged 20-29 years. The senders' wearing masks decreased the readabilities of the senders' facially expressed fear for participants in their 50's more than for participants in their 20's. When the senders wore masks, the readabilities of the senders' facially expressed happiness dropped among participants aged over 60 years more than among participants aged 20-49 years. When senders wore masks, American participants' readabilities of disgust, fear, sadness and happiness expressed in the senders' faces declined more than Korean participants' readabilities of those emotions. The implications and limitations of these findings are discussed.

Impact of non-pharmaceutical interventions on the incidences of vaccine-preventable diseases during the COVID-19 pandemic in the eastern of China.

BACKGROUND: In response to the coronavirus disease 2019 (COVID-19) pandemic, many countries have implemented mitigating non-pharmaceutical interventions. We investigated the impact of these interventions and changes in public behavior on the incidences of selected vaccine-preventable diseases (VPDs) during the COVID-19 pandemic in the eastern of China. METHODS: From routine monitoring data collected in the capital of eastern China's Jiangsu Province, we extracted and analyzed the incidences of influenza; hand, foot and mouth disease (HFMD); varicella; mumps; pertussis; and hepatitis B. We also investigated the changes in public behavior during the COVID-19 pandemic through telephone interviews and questionnaire surveys. RESULTS: Compared with the baseline (2017-2019), the incidences of all VPDs except influenza declined significantly in 2020 (HFMD decreased by 79.92%, varicella decreased by 7.71%, mumps decreased by 2.03%, pertussis decreased by 78.91%, and hepatitis B decreased by 0.31%). The reduction in reported cases in children (0-14 years) was greater than that in adults, and pertussis had the largest reduction (approximately 80%) in children. Influenza peaks in winter; in the three years before the COVID-19 pandemic, Influenza rates took an average of 10 weeks to recede to their lowest levels after the Spring Festival, while in 2020, this took only 1 week. A total of 366 outbreaks with 20,205 cases were reported during the COVID-19 pandemic. Among the participants in the study, 94.2% of the interviewees avoided going to high-risk areas, 82.4% avoided going to crowded places, 92.9% wore masks when going out,88.4% washed their hands frequently, and 67.9% maintained social distance. CONCLUSIONS: Our study showed significant reductions in the incidences of VPDs after the implementation of a series of non-pharmaceutical interventions during the COVID-19 pandemic.

Promoting COVID-19 prevention strategies in student dormitory setting: A qualitative study.

OBJECTIVE: To explore the risk perceptions and COVID-19 prevention practices of dormitory residents in Indonesia. Participants: Nineteen dormitory residents, 3 staff and 1 dormitory manager were recruited from the Saint Theresa Avila student dormitory. Methods: This qualitative study used individual interviews and framework analysis. Results: Generally, the study confirms that there is a gap between risk perception and COVID-19 prevention practices among dormitory residents. There are barriers in accessing hand washing facilities and in complying with COVID-19 prevention protocols including not wearing masks, not following quarantine procedures and visiting friends' rooms. Conclusion: Dormitory managers and staff should repeatedly remind residents to wear masks and maintain safe distance through sending short messages on dormitory social media groups. In addition to psychological assistance and basic supplies during self-quarantine, providing sanitizer and installing posters detailing the hand-washing steps are essential at each hand-washing facility in the dormitory.

Study on Factors of People's Wearing Masks Based on Two Online Surveys: Cross-Sectional Evidence from China.

(1) Background: To analyze factors of people's wearing masks based on two online surveys, and to explore whether living area factor or quarantine status could have an impact on mask-wearing. (2) Methods: Chi-square test and logistic regression analysis were used to explore the influence of different factors on people's behavior of mask-wearing in the present study. R3.6.2 was used for data cleaning, SPSS 26.0 was used to conduct corresponding statistical analysis, and a two-sided p-value less than 0.05 was considered to be statistically significant. (3) Results: According to our study, the proportion of participants who wore face masks was higher than 90.0% in both surveys. Single factor analysis showed that the proportion of people wearing face masks raised with the increase of people's education, age, and monthly income (Yuan) in both surveys. People who lived in rural areas were less likely to wear masks. Mask-wearing rate was lower in the isolated individuals than in the non-isolated ones. (4) Conclusions: Masks-wearing is one of the effective measures for COVID-19 pandemic prevention and control. After the Chinese government made wearing face masks mandatory in public places, most residents in China had developed the habit of wearing masks, contributing to the high rate of masks-wearing in China. However, people in rural areas need to raise their awareness of wearing masks. Meanwhile, the mask-wearing of the isolated individuals needs to be enhanced.

Public Health Interventions for the COVID-19 Pandemic Reduce Respiratory Tract Infection-Related Visits at Pediatric Emergency Departments in Taiwan.

Background and objective: Public health interventions such as social distancing, wearing surgical or N95 masks, and handwashing are effective in significantly reducing the risk of infection. The purpose of this article is to analyze the effect of public health interventions on respiratory tract infection-related visits to pediatric emergency departments during the COVID-19 pandemic in Taiwan. Method: Pediatric emergency department visits between January 1 2020 and April 30 2020 were included for trend analysis and compared to the same period during the past 3 years. The datasets were retrieved from Taiwan National Infectious Disease Statistics System and Kaohsiung Chang Gung Memorial Hospital. Respiratory tract infections with other diagnoses categories, including fever, asthma, and urinary tract infections, were included for subgroup analysis. Result: A significant decrease of more than 50% in respiratory tract infection-related visits was found from February to April 2020 in the national database. With regard to diagnosis category, the proportion of respiratory tract infections in Kaohsiung Chang Gung Hospital also became significantly lower in 2020 during the months of March (43.4 vs. 37.4%, p = 0.024) and April (40.1 vs. 32.2%, p < 0.001). On the other hand, the proportion of urinary tract infections was significantly higher in 2020 during March (3.7 vs. 5.2%, p = 0.033) and April (3.9 vs. 6.5%, p < 0.001), and that of asthma was also higher in April (1.6 vs. 2.6%, p = 0.025). Furthermore, the intensive care unit admission rate was relatively higher in 2020 from February, with significant differences noted in March (1.3 vs. 2.8%, p < 0.001). Conclusion: Due to public health interventions for the COVID-19 pandemic, the transmission of not only COVID-19 but also other air droplet transmitted diseases in children may have been effectively prevented.

Coronavirus Infection Prevention by Wearing Masks.

The coronavirus disease 2019 (COVID-19) [2019-nCoV; severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)] was first detected in Wuhan, China at the end of 2019. In current status, spread of COVID-19 in person-to-person could be caused mainly by respiratory droplets, which leads to the spread of the influenza virus in both community and clinicians. Thus, in order to reduce the risk of that, the urgent management strategies against COVID-19 are to block transmission, isolation, protection, and using drug or vaccine updated on an ongoing basis. unfortunately, no drugs or vaccines still has yet been allowed to treat patients with COVID-19, so the rapid detection of effective intercessions against COVID-19 is seemed a major challenge on the all world. Herein, this article attempts summarizing to introduce the characterization of COVID-19, the influence of droplets travel in person-to-person transmission and the effect of wearing masks in the infection prevention of influenza virus, as well as understanding its advantage and role in the coronavirus infection prevention.

The effect of behavior of wearing masks on epidemic dynamics.

Recently, COVID-19 has attracted a lot of attention of researchers from different fields. Wearing masks is a frequently adopted precautionary measure. In this paper, we investigate the effect of behavior of wearing masks on epidemic dynamics in the context of COVID-19. At each time, every susceptible individual chooses whether to wear a mask or not in the next time step, which depends on an evaluation of the potential costs and perceived risk of infection. When the cost of infection is high, the majority of the population choose to wear masks, where global awareness plays a significant role. However, if the mask source is limited, global awareness may give rise to a negative result. In this case, more mask source should be allocated to the individuals with high risk of infection.