Impacts of COVID-19 Outbreak on the Municipal Solid Waste Management: Now and beyond the Pandemic.

The COVID-19 pandemic disrupted the municipal essential services, including municipal solid waste (MSW) management. This study has reviewed the literature on MSW and solid medical waste (SMW) management systems, waste management initiatives specific to this pandemic, as well as their impacts now and beyond. Waste segregation and separate treatment of waste streams play important roles in reducing the environmental, health, and social impacts of waste and waste management. The global warming potential of MSW and SMW were found to be varied from -0.64 to 520 kg CO2 equiv/tonne and -52.1 to 3730 kg CO2 equiv/tonne, respectively, which widely depend on the sterilization and disposal processes. Similarly, MSW and SMW disposal costs varied from 90 to $242/tonne and 12 to $1530.0/tonne, respectively. Various changes made to waste collection and management because of the COVID-19 pandemic affected waste segregation and recycling. Since the start of the pandemic, various sectors, including the food, waste management, and healthcare sectors, relied on the increased use of single-use plastics to prevent transmission of COVID-19. An environmentally friendly alternative (biodegradable/compostable) to widely used single-use plastics is desired for easing waste management problems. Although various initiatives are underway to manage growing volumes of MSW and SMW, while controlling the spreading of infectious diseases, the movable grate incineration technology coupled with an adequate disinfection process presents a potential solution in managing the COVID-19 waste challenges. The proper disinfection method and technological choices can mitigate the risk of spreading infections and can improve the waste management system's sustainability, especially the contaminated waste.

Trust and Engagement on Twitter During the Management of COVID-19 Pandemic: The Effect of Gender and Position.

During the COVID-19 pandemic, health and political leaders have attempted to update citizens using Twitter. Here, we examined the difference between environments that social media has provided for male/female or health/political leaders to interact with people during the COVID-19 pandemic. The comparison was made based on the content of posts and public responses to those posts as well as user-level and post-level metrics. Our findings suggest that although health officers and female leaders generated more contents on Twitter, political leaders and male authorities were more active in building networks. Offensive language was used more frequently toward males than females and toward political leaders than health leaders. The public also used more appreciation keywords toward health leaders than politicians, while more judgmental and economy-related keywords were used toward politicians. Overall, depending on the gender and position of leaders, Twitter provided them with different environments to communicate and manage the pandemic.

An analysis of COVID-19 vaccine sentiments and opinions on Twitter.

OBJECTIVE: We identified public sentiments and opinions toward the COVID-19 vaccines based on the content of Twitter. MATERIALS AND METHODS: We retrieved 4,552,652 publicly available tweets posted within the timeline of January 2020 to January 2021. Following extraction, we identified vaccine sentiments and opinions of tweets and compared their progression by time, geographical distribution, main themes, keywords, posts engagement metrics and accounts characteristics. RESULTS: We found a slight difference in the prevalence of positive and negative sentiments, with positive being the dominant polarity and having higher engagements. The amount of discussion on vaccine rejection and hesitancy was more than interest in vaccines during the course of the study, but the pattern was different in various countries. We found the accounts producing vaccine opposition content were partly Twitter bots or political activists while well-known individuals and organizations generated the content in favour of vaccination. CONCLUSION: Understanding sentiments and opinions toward vaccination using Twitter may help public health agencies to increase positive messaging and eliminate opposing messages in order to enhance vaccine uptake.

Prediction of COVID-19 Waves Using Social Media and Google Search: A Case Study of the US and Canada.

The ongoing COVID-19 pandemic has posed a severe threat to public health worldwide. In this study, we aimed to evaluate several digital data streams as early warning signals of COVID-19 outbreaks in Canada, the US and their provinces and states. Two types of terms including symptoms and preventive measures were used to filter Twitter and Google Trends data. We visualized and correlated the trends for each source of data against confirmed cases for all provinces and states. Subsequently, we attempted to find anomalies in indicator time-series to understand the lag between the warning signals and real-word outbreak waves. For Canada, we were able to detect a maximum of 83% of initial waves 1 week earlier using Google searches on symptoms. We divided states in the US into two categories: category I if they experienced an initial wave and category II if the states have not experienced the initial wave of the outbreak. For the first category, we found that tweets related to symptoms showed the best prediction performance by predicting 100% of first waves about 2-6 days earlier than other data streams. We were able to only detect up to 6% of second waves in category I. On the other hand, 78% of second waves in states of category II were predictable 1-2 weeks in advance. In addition, we discovered that the most important symptoms in providing early warnings are fever and cough in the US. As the COVID-19 pandemic continues to spread around the world, the work presented here is an initial effort for future COVID-19 outbreaks.