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Assessing risk in the retail environment during the COVID-19 pandemic.

ABSTRACT: The COVID-19 pandemic has caused unprecedented disruption, particularly in retail. Where essential demand cannot be fulfilled online, or where more stringent measures have been relaxed, customers must visit shop premises in person. This naturally gives rise to some risk of susceptible individuals (customers or staff) becoming infected. It is essential to minimize this risk as far as possible while retaining economic viability of the shop. We therefore explore and compare the spread of COVID-19 in different shopping situations involving person-to-person interactions: (i) free-flowing, unstructured shopping; (ii) structured shopping (e.g. a queue). We examine which of (i) or (ii) may be preferable for minimizing the spread of COVID-19 in a given shop, subject to constraints such as the geometry of the shop; compliance of the population to local guidelines; and additional safety measures which may be available to the organizers of the shop. We derive a series of conclusions, such as unidirectional free movement being preferable to bidirectional shopping, and that the number of servers should be maximized as long as they can be well protected from infection.

SUBMITTER: Budd C

PROVIDER: S-EPMC8113911 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:(1) Background: To date, there are limited data in low- and middle-income countries (LMICs) that collect, monitor, and evaluate food environments in standardized ways. The development of a pilot survey tool, tailored to LMICs and focused on retail food environments, is necessary for improving public health nutrition. (2) Methods: A novel survey tool was developed and piloted in a sample of village retail food environments (n = 224) in Matiari, Pakistan between October 2020 to April 2021. Villages were randomly selected, and food outlets were surveyed within a 500-m radius from each village center. Descriptive statistics (counts and percentages) were used to describe the characteristics of food outlets and the availability of food. To test whether there was a difference in characteristics or in the mean of number of healthy, unhealthy, and total food items available by village size, a χ2 test or one-way ANOVA was conducted, respectively. (3) Results: In total, 1484 food outlets were surveyed for food accessibility, availability, and promotion across small (n = 54), medium (n = 112), and large villages (n = 58). In small and medium-sized villages, mobile food vendors were the predominant food outlet type (47.8% and 45.1%, respectively), whereas in large villages, corner stores (36%) were more prominent. The mean number of total food items (p < 0.006) and unhealthy food items (p < 0.001) available in food outlets differed by village size. The proportion of food outlets with available fruits, meat and poultry, water, and sugar-sweetened beverages also differed by village size (p < 0.001). (4) Conclusions: This study informs the global evidence gap in the current understanding of food environments in various ethnically diverse and dynamic LMICs, and the developed methodology will be useful to other LMICs for measuring and monitoring the food environment, especially among vulnerable population groups. This work complements current national and provincial survey efforts in Pakistan.

Project description:Introduction: Women are more susceptible to mental health disorders and have been reported to experience higher levels of depression and anxiety during previous large-scale disease outbreaks. Stressful events like the COVID-19 pandemic can add extra burdens to women's already multifaceted lives. Keeping the gender implications of COVID-19 in mind can assist health care workers to offer more effective management. In our study, we aimed to assess the impact of COVID-19 on the mental health of women in Karachi, Pakistan and investigate the possible risk factors. Methods: An online questionnaire was distributed to women on social media platforms in the month of June 2020. The questionnaire had two self-assessment scales, Patient Health Questionnaire (PHQ-9) scale which measures the symptoms of depression and General Anxiety Disorder (GAD-7) scale which measures anxiety. Results: Three hundred and ninety three individuals completed the questionnaire with the mean age calculated to be 27.6 ± 11.7 years. Age, education, marital status, number of children, financial issues, employment status, smoking, comorbidities and mental illnesses were significantly associated with participants' mean anxiety and depression scores. The depression scores were generally higher compared to anxiety scores in each category. As the age increased, their scores decreased, with women aged 18-30 having a significantly higher mean depression and anxiety scores compared to women who were above 50. Severe anxiety was identified in 21.9% women and severe depression was noted in 17.8% women. A frightening number of 148 (37.7%) was found of women who had self-destructive thoughts at one time or another. Out of these women, surprisingly 97 (65.5%) individuals were not previously diagnosed with any mental illnesses. Discussion: This study supports the existing literature regarding the disturbed psychological state of women close to the peak of the covid-19 pandemic. We noted increased percentage of depressive women as compared to studies conducted before the covid-19 era. This raises concern especially with our thought provoking finding of self-harm or suicidal thoughts among women. Most of our female population is also seen to be anxious. This study highlights the importance for help and support groups of mental health to effectively reach women during this period of social isolation.

Project description:This study aimed to determine the possibility of COVID-19 transmission through in-flight contact during flights for many patients with confirmed COVID-19 during the COVID-19 pandemic and explore infection prevention and control (IPC) methods for overseas infectious diseases. A retrospective cohort study was conducted on flight with a large number of confirmed case among. Delhi- Incheon flights in 2020. This flight was selected to confirm transmission through close contact with the cabin, with a total of 14 confirmed cases out of 190 passengers (including 10 flight attendants). After confirming COVID-19 test results for those entering Korea, we conducted an epidemiological investigation on confirmed patients to determine their general characteristics and epidemiological relevance. We analyzed the epidemiological relevance, occupational information, incubation period, and COVID-19 variation and genotype among confirmed patients who were in close contact with confirmed cases, and analyzed the possibility of transmission according to the distance of close contact in the flight. One confirmed patient was found to be highly likely to be infected due to close contact with the cabin. However, it occurred within two rows, not within 1 meter. In addition, considering the aerodynamics in the cabin and local incidence rate, infection in an unspecified number of local people could not be excluded. It was analyzed that the reason for reducing infection from close contact on board for a long time in a flight with a large number of confirmed cases was the effective IPC method. In order to prevent overseas infectious diseases caused by flights, autonomous IPC management of airlines and passengers is necessary in addition to national quarantine management such as symptom screening before boarding, wearing passenger masks while boarding, food and beverage restrictions, disinfection of public spaces, distancing between passengers, close contact management after boarding, and self-quarantine.

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Assessing risk in the retail environment during the COVID-19 pandemic.

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