Factors Associated with Parental Intention to Vaccinate Their Primary School- Aged Children in Indonesia

196-213

"Public goods” or "diplomatic tools”: a framing research on Chinese and American media reports regarding Chinese COVID-19 vaccine

This study aims to conduct a framing analysis of Chinese and American media coverage of Chinese COVID-19 vaccine. Since 2021, China exports or donates vaccines to developing countries, arousing the attention of Chinese and American media. The competition between China and the USA over national image extends to the vaccine field. Media framing is a powerful tool to construct a national image. It is worth comparing how Chinese and American media use framings to construct national images on vaccine issues. This study conducts a framing analysis of news coverage in People's Daily (PD) and The New York Times (NYT) on Chinese COVID-19 vaccine from January to March 2021 to determine how the media use specific framings to construct national images. The results show PD favors official action and cooperation frames, constructing the discourse of "public goods” and "cooperation” and shaping a fair and cooperative China image;while NYT favors official action, conflict and skepticism frames, constructing the discourse of "diplomatic tool” and "competition” and shaping a selfish and competitive China image. A positive image is helpful for China to reposition itself in global public opinion and enhance its soft power, while a negative discourse deconstructs the positive China image and counterbalances China's vaccine diplomacy. © 2022 Asian Media Information and Communication Centre.

Smart Farming IoT Based Management during Post Covid-19

The aim of this project is to construct portable smart farming management tools that could be helpful for the farmer involved in the pineapple industry. The project also aims to focus on the productivity of the plant by varying the fertilizer contents. During the Covid-19 pandemic that impacts all industries especially the agriculture industry, the farmers had an issue related to precision in terms of monitoring the soil condition of their crops due to limitations on the mobility of people across borders and lockdowns are contributing to labor shortages. Therefore, this study expected to look at the possibilities of the Smart Farming Management Tool Internet-of-Things based to be implemented in helping farmers to keep on track of the soil conditions in their crops via smartphones. © 2022 IEEE.

Systematic Review of Plastic Waste as Eco-Friendly Aggregate for Sustainable Construction

The advent of the COVID-19 pandemic has increased the amount of plastic waste. The demand for food and plastic-packaged foodstuffs has increased, and the use of disposable utensils has increased. The large usage of plastic packaging was the main factor which contributed to the plastic waste disposal. Since these plastic wastes are not easily degraded, it has led into massive environmental pollution. Transitioning towards eco-friendly materials for new sustainable technologies will be critical to combating future pandemics and reduce the plastic waste. Hence, recycling of plastic waste and its re-utilization as green and eco-friendly construction material could decrease the tendency of environmental pollution. In this review paper, we have presented an overview of the published articles which recycled plastic waste as an eco-friendly aggregate material for different construction-based applications before COVID 19 and during COVID 19. Furthermore, the processing methods which were suggested in the published articles for recycling plastic waste have been discussed. A few construction materials could be developed by utilizing the plastic wastes, including the polymer-modified asphalt mixes, eco-bricks, and construction and demolition materials. These products could be used as novel products for other sustainable applications and benefits of circular economy. According to several reports, polymeric based plastic wastes can be effectively used as a recycled material, decrease the demand for traditional materials and also tremendously reduce the construction costs. © Universiti Tun Hussein Onn Malaysia Publisher’s Office.

Healthcare-acquired coronavirus disease 2019 (COVID-19) is less symptomatic than community-acquired disease among healthcare workers.

OBJECTIVE: We hypothesized that healthcare workers (HCWs) with high-risk exposures outside the healthcare system would have less asymptomatic coronavirus 2019 (COVID-19) disease and more symptoms than those without such exposures. DESIGN: A longitudinal point prevalence study was conducted during August 17-September 4, 2020 (period 1) and during December 2-23, 2020 (period 2). SETTING: Community based teaching health system. PARTICIPANTS: All HCWs were invited to participate. Among HCWs who acquired COVID-19, logistic regression models were used to evaluate the adjusted odds of asymptomatic disease using high-risk exposure outside the healthcare system as the explanatory variable. The number of symptoms between exposure groups was evaluated with the Wilcoxon rank-sum test. The risk of seropositivity among all HCS by work exposure was evaluated during both periods. INTERVENTIONS: Survey and serological testing. RESULT: Seroprevalence increased from 1.9% (95% confidence interval [CI], 1.2%-2.6%) to 13.7% (95% CI, 11.9%-15.5%) during the study. Only during period 2 did HCWs with the highest work exposure (versus low exposure) have an increased risk of seropositivity (risk difference [RD], 7%; 95% CI, 1%-13%). Participants who had a high-risk exposure outside of work (compared to those without) had a decreased probability of asymptomatic disease (odds ratio [OR], 0.38; 95% CI, 0.16-0.86) and demonstrated more symptoms (median 3 [IQR, 2-6] vs 1 [IQR, 0-4]; P = .001). CONCLUSIONS: Healthcare-acquired COVID-19 increases the probability of asymptomatic or mild COVID-19 disease compared to community-acquired disease. This finding suggests that infection prevention strategies (including masks and eye protection) may be mitigating inoculum and supports the variolation theory in COVID-19.