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The Lancet ; 395(10238):1685-1686, 2020.
Article in English | ProQuest Central | ID: covidwho-2325200


[...]the UK meets more of its food needs, the country risks having potentially counterfeit food imports and disrupted supply chains. The book describes relevant aspects of British food history, defines terms, lists foods imported and exported, measures freight shipped through UK airports, defines greenhouse gas emissions from livestock and crop production, documents food price trends, gives feed conversion rates for food animals, lists advertising spending by major food companies, explains water rights, and states how much land is owned by the British aristocracy, corporations, and Crown. Lang was a member of the EAT-Lancet Commission and he calls on the UK Government to adopt the Commission's Great Food Transformation recommendations to improve public health, the environment, food citizenship, wage scales, and democratic accountability, and to redistribute power in the food system.

Kybernetes ; 52(6):2205-2224, 2023.
Article in English | ProQuest Central | ID: covidwho-2323860


PurposeThe COVID-19 epidemic is still spreading globally and will not be completely over in a short time. Wearing a mask is an effective means to combat the spread of COVID-19. However, whether the public wear a mask for epidemic prevention and control will be affected by stochastic factors such as vaccination, cultural differences and irrational emotions, which bring a high degree of uncertainty to the prevention and control of the epidemic. The purpose of this study is to explore and analyze the epidemic prevention and control strategies of the public in an uncertain environment.Design/methodology/approachBased on the stochastic evolutionary game model of the Moran process, the study discusses the epidemic prevention and control strategies of the public under the conditions of the dominance of stochastic factors, expected benefits and super-expected benefits.FindingsThe research shows that the strategic evolution of the public mainly depends on stochastic factors, cost-benefit and the number of the public. When the stochastic factors are dominant, the greater the perceived benefit, the lower the cost and the greater the penalty for not wearing masks, the public will choose to wear a mask. Under the dominance of expected benefits and super-expected benefits, when the number of the public is greater than a certain threshold, the mask-wearing strategy will become an evolutionary stable strategy. From the evolutionary process, the government's punishment measures will slow down the speed of the public choosing the strategy of not wearing masks. The speed of the public evolving to the stable strategy under the dominance of super-expected benefits is faster than that under the dominance of expected benefits.Practical implicationsThe study considers the impact of stochastic factors on public prevention and control strategies and provides decision-making support and theoretical guidance for the scientific prevention of the normalized public.Originality/valueTo the best of the authors' knowledge, no research has considered the impact of different stochastic interference intensities on public prevention and control strategies. Therefore, this paper can be seen as a valuable resource in this field.

Transportation Research Record ; 2677:39-50, 2023.
Article in English | Scopus | ID: covidwho-2320683
Journal of Transportation Security ; 16(1):2, 2023.
Article in English | ProQuest Central | ID: covidwho-2318003
J Family Med Prim Care ; 11(10): 5969-5982, 2022 Oct.
Article in English | MEDLINE | ID: covidwho-2309760


Background: Airports pose a possible threat in facilitating global disease transmission within the community which may be prevented by rigorous systematic entry-exit screening. This study captures the perception of stakeholders on barriers and facilitators of coronavirus disease 2019 (COVID-19) screening. Further, key outcomes viz. total passengers screened, suspected cases, and confirmed cases were assessed. Methods: An inductive-deductive mix-method thematic analysis was conducted to capture qualitative data of key stakeholders on COVID-19 disease screening at Jaipur International Airport. Additionally, secondary data retrieved from Rajasthan Medical & Health Department team deployed for COVID-19 airport screening were analyzed. Results: Jaipur International Airport screened 4565 passengers (Males = 4073 and Females = 492) with 23 suspected cases during an outlined period of declaration of Pandemic to Lockdown in India (11 to 24 March 2020). Total 65 passengers had travel history from China (3 from Wuhan). The mean average age of passengers was 40.95 ± 7.8 years. The average screening time per passenger was 2-3 min with a load of 25-90 passengers per team per flight. Fishbone analysis of screening challenges revealed poor cooperation of passengers, masking symptoms, apprehension, and stigma related to quarantine. Moreover, inadequate human resources and changing guidelines overburdened healthcare providers. But, perception of risk, and social responsibility of travelers together with supportive organization behavior act as facilitators. Overall, groundwork on airport screening was insightful to propose key action areas for screening. Conclusions: Globally, COVID-19 has an impact on health infrastructure and international travel. International coordination with streamlined screening will go an extended way in virus containment.

Regional Studies, Regional Science ; 10(1):418-438, 2023.
Article in English | Scopus | ID: covidwho-2300886
Gestion & Finances Publiques ; - (4):4-09, 2020.
Article in French | ProQuest Central | ID: covidwho-2294474
BMC Res Notes ; 16(1): 67, 2023 Apr 27.
Article in English | MEDLINE | ID: covidwho-2303580


OBJECTIVE: We sought to estimate the proportion of air travelers who may have been infected with SARS-CoV-2 upon arrival to Colorado by comparing data on Colorado residents screened upon entering the US to COVID-19 cases reported in the state. Data on Colorado's screened passengers arriving into the US between January 17 and July 30, 2020 were compared to Colorado's Electronic Disease Reporting System. We conducted a descriptive analysis of true matches, including age, gender, case status, symptom status, time from arrival to symptom onset (days), and time from arrival to specimen collection date (days). RESULTS: Fourteen confirmed COVID-19 cases in travelers who were diagnosed within 14 days after arriving in Colorado were matched to the 8,272 travelers who underwent screening at 15 designated airports with a recorded destination of Colorado, or 0.2%. Most (N = 13/14 or 93%) of these infected travelers arrived in Colorado in March 2020; 12 (86%) of them were symptomatic. Entry screening for COVID-19 and the sharing of traveler information with the Colorado Department of Public Health and Environment appeared to identify few cases early in the pandemic. Symptom-based entry screening and sharing of traveler information was minimally effective at decreasing travel-associated COVID-19 transmission.

COVID-19 , Humans , COVID-19/diagnosis , COVID-19/epidemiology , COVID-19/prevention & control , Travel , Colorado/epidemiology , Airports , SARS-CoV-2
Annales Francaises de Medecine d'Urgence ; 10(4-5):278-287, 2020.
Article in French | ProQuest Central | ID: covidwho-2268164
Innovation: The European Journal of Social Science Research ; 2023.
Article in English | Scopus | ID: covidwho-2264606
Journal of Airport Management ; 17(2):149-160, 2023.
Article in English | Academic Search Complete | ID: covidwho-2262709
PeerJ Computer Science ; 9, 2023.
Article in English | Scopus | ID: covidwho-2261477
Transportation Research Record ; 2677:635-647, 2023.
Article in English | Scopus | ID: covidwho-2256313
Applied Sciences ; 13(4):2384, 2023.
Article in English | ProQuest Central | ID: covidwho-2254511
Transportation Science ; 57(1):27-51, 2023.
Article in English | Scopus | ID: covidwho-2252201
Journal of Airport Management ; 17(2):108-109, 2023.
Article in English | Academic Search Complete | ID: covidwho-2251613