scholarly journals Generational Differences in Perceptions of Food Health/Risk and Attitudes toward Organic Food and Game Meat: The Case of the COVID-19 Crisis in China

Author(s):  
Xiaoru Xie ◽  
Liman Huang ◽  
Jun (Justin) Li ◽  
Hong Zhu

In December 2019, a novel laboratory-confirmed coronavirus (2019-nCoV) infection, which has caused clusters of severe illnesses, was first reported in Wuhan, the capital of Hubei province, China. This foodborne illness, which reportedly most likely originated in a seafood market where wild animals are sold illegally, has transmitted among humans through close contact, across the world. The aim of this study is to explore health/risk perceptions of and attitudes toward healthy/risky food in the immediate context of food crisis. More specifically, by using the data collected from 1008 respondents in January 2020, the time when China was hit hard by the “Corona Virus Disease 2019” (COVID-19), this study investigates the overall and different generational respondents’ health/risk perceptions of and attitudes toward organic food and game meat. The results reveal that, firstly, based on their food health and risk perceptions of healthy and risky food, the respondents’ general attitudes are positive toward organic food but relatively negative toward game meat. Secondly, older generations have a more positive attitude and are more committed to organic food. Younger generations’ attitude toward game meat is more negative whereas older generations attach more importance to it because of its nutritional and medicinal values. In addition, this research also indicates that the COVID-19 crisis influences the respondents’ perceptions of and attitudes toward organic food and game meat consumption. However, the likelihood of its impact on older generations’ future change in diets is smaller, which implies that older generations’ food beliefs are more stable.

Author(s):  
Hye Jin Yoo ◽  
JaeLan Shim ◽  
Namhee Kim

This study aimed to explore health risk perceptions, changes in health-related behaviors, and life experiences of mothers with school-age children during the early coronavirus disease (COVID-19) pandemic. Data were collected between 16 July and 10 September 2020, by individual interviews and analyzed through qualitative content analysis. After the twelve participants’ experiences were analyzed, four themes and ten sub-themes were derived. The four themes were: “Struggling to identify the substance of COVID-19,” “Taking the initiative to protect the health of the family,” “Frustrated by the brutal reality of no end in sight,” and “Trying to adjust wisely to an inevitable new lifestyle.” The findings suggest that while the world remains in an ongoing battle with COVID-19, national health institutions should prepare a health education system for specific infection prevention methods that can be practiced by individuals in daily life.


2021 ◽  
Author(s):  
James Wambua ◽  
Lisa Hermans ◽  
Pietro Coletti ◽  
Frederik Verelst ◽  
Lander Willem ◽  
...  

Abstract Human behaviour is known to be crucial in the propagation of infectious diseases through respiratory or close-contact routes like the current SARS-CoV-2 virus. Intervention measures implemented to curb the spread of the virus mainly aim at limiting the number of close contacts, until vaccine roll-out is complete. Our main objective was to assess the relationships between SARS-CoV-2 perceptions and social contact behaviour in Belgium. Understanding these relationships is crucial to maximize interventions' effectiveness, e.g. by tailoring public health communication campaigns. In this study, we surveyed a representative sample of adults in Belgium in two longitudinal surveys (8 waves of survey 1 in April 2020 to August 2020, and 11 waves of survey 2 in November 2020 to April 2021). Generalized linear mixed effects models were used to analyse the two surveys. Participants with low and neutral perceptions on perceived severity made a significantly higher number of social contacts as compared to participants with high levels of perceived severity after controlling for other variables. Furthermore, participants with higher levels of perceived effectiveness of measures and perceived adherence to measures made fewer contacts. However, the differences were small. Our results highlight the key role of perceived severity on social contact behaviour during a pandemic. Nevertheless, additional research is required to investigate the impact of public health communication on severity of COVID-19 in terms of changes in social contact behaviour.


2009 ◽  
Vol 16 (5) ◽  
pp. 338-343 ◽  
Author(s):  
Laurie B. Hartjes ◽  
Linda C. Baumann ◽  
Jeffrey B. Henriques

2020 ◽  
Vol 9 (2) ◽  
pp. 11-17
Author(s):  
Zafar Majeed Rather ◽  
Magray Ajaz Ahmad

Corona virus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome Corona virus 2 (SARS-CoV-2). The disease was first identified in December 2019 in Wuhan, the capital of China’s Hubei province, and has since spread globally, resulting in the ongoing 2019–20 corona virus pandemic. As of 9 June 2020, more than 7.12 million cases have been reported across 187 countries and territories, resulting in more than 406,000 deaths. More than 3.29 million people have recovered. The virus is primarily spread between people during close contact, often via small droplets produced by coughing, sneezing, or talking. The disease has been given official name as COVID-19[1]. Since its outbreak in china, infrared thermometers were used to check the body temperature in order to identify the infected people. Countries like China and Korea started the use of different technologies to detect, track and prevent the spread of this deadly virus. Among the major technologies used are Internet of Things (IoT), Artificial Intelligence (AI) and deep learning. With the invent of 5G technologies, we are able to transfer and process huge amounts of data on a real time basis. Health experts have argued that a key tool at governments’ disposal to contain the COVID-19 outbreak, and which was not around during the 1918 Spanish Flu, is the ability to harness digital technologies to track the spread. At the same time, deployment of contact tracing apps by governments or public health authorities has added to the debate on online privacy and personal data protection. In this research paper, we discuss the potential application of different information and communication technologies (ICT) like IoT, AI and 5G that can help in (i) Monitoring (ii) surveillance (iii) detection and prevention of COVID-19 and enhancing the healthcare to make it future-ready for any such diseases like COVID-19.


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