The impact of COVID-19 prevention and control measures on residential burglary hotspots: A case study of the core urban areas of Beijing

In order to analyze the impact of COVID-19 prevention and control measures on the hotspots of residential burglary, the data of crimes that occurred during the First Level Response period of Major Public Health Emergencies in Beijing in 2020 and the same period in 2019 were collected, and the changes of hotspots during the two periods were compared by using kernel density estimation and predictive accuracy index. Consequently, the environmental features such as street network, point of interest (POI) diversity, crime locations, and repeat victimization in significantly varied hotspot areas were investigated. The results show that: 1) After the outbreak of the pandemic, the occurrence of residential burglary in the core urban areas of Beijing dropped significantly, and daily occurrence of crimes during the First Level Response period in 2020 decreased by 66.8% compared with the same days in 2019. 2) The eight major hotspots that existed in 2019 apparently declined during the corresponding days in 2020, five of them basically disappeared, and three hotspots weakened. 3) The declined hotspots were generally clustered around traffic hubs, areas with high diversity of POIs, clustered crimes, and repeat victimizations. 4) Home isolation and social restriction strategies implemented during the First Level Response period reduced the opportunities of offenders, and the real-name inspection adopted in public places increased the exposure risk of offenders, which are the main reasons for the hotspots decline during the pandemic. This work has some implications for crime prevention and police resources optimization during the pandemic. © 2023, Editorial office of PROGRESS IN GEOGRAPHY. All rights reserved.

Understanding the use of digital finance among older internet users in urban China: Evidence from an online convenience sample

Inclusive digital financial services should welcome older populations and make them beneficiaries of the digital and financial revolution. To understand older adults' experience of using digital financial tools, we conducted an online survey of 268 older internet users aged 60 or above from urban areas of 14 Chinese provinces after China's nationwide COVID-19 lockdown in 2021. Our results revealed that older internet surfers were active in digital financial activities and engaged most with activities that were highly compatible with their lifestyles. Active users significantly differed from inactive users in sociodemographics, confirming that a digital divide related to social stratification exists among older internet users. Digital finance active users were also distinguished from inactive users' attitudes and perceptions toward digital finance. Logistic regression results indicated that perceived usefulness, access to proper devices for digital finance, risk perceptions, and perceived exclusion if not using technology were associated with their adoption of these advanced tools. Older adults reported the perceived inconvenience of in-person financial services during the lockdown. They also expressed a willingness to participate in relevant training if provided. The findings of this study could help aging-related practitioners to understand older adults' engagement in digital finance and guide policy and project design in the area of financial inclusion of the aging population.

Scaling law of COVID-19 cases and city size and its evolution over time

Urban scaling law quantifies the disproportional growth of urban indicators with urban population size, which is one of the simple rules behind the complex urban system. Infectious diseases are closely related to social interactions that intensify in large cities, resulting in a faster speed of transmission in large cities. However, how this scaling relationship varies in an evolving pandemic is rarely investigated and remains unclear. Here, taking the COVID- 19 epidemic in the United States as an example, we collected daily added cases and deaths from January 2020 to June 2022 in more than three thousand counties to explore the scaling law of COVID- 19 cases and city size and its evolution over time. Results show that COVID- 19 cases super- linearly scaled with population size, which means cases increased faster than population size from a small city to a large city, resulting in a higher morbidity rate of COVID- 19 in large cities. Temporally, the scaling exponent that reflects the scaling relationship stabilized at around 1.25 after a fast increase from less than one. The scaling exponent gradually decreased until it was close to one. In comparison, deaths caused by the epidemic did not show a super-linear scaling relationship with population size, which revealed that the fatality rate of COVID-19 in large cities was not higher than that in small or medium-sized cities. The scaling exponent of COVID- 19 deaths shared a similar trend with that of COVID- 19 cases but with a lag in time. We further estimated scaling exponents in each wave of the epidemic, respectively, which experienced the common evolution process of first rising, then stabilizing, and then decreasing. We also analyzed the evolution of scaling exponents over time from regional and provincial perspectives. The northeast, where New York State is located, had the highest scaling exponent, and the scaling exponent of COVID- 19 deaths was higher than that of COVID-19 cases, which indicates that large cities in this region were more prominently affected by the epidemic. This study reveals the size effect of infectious diseases based on the urban scaling law, and the evolution process of scaling exponents over time also promotes the understanding of the urban scaling law. The mechanism behind temporal variations of scaling exponents is worthy of further exploration. © 2023 Science Press. All rights reserved.

Housing and respiratory health: Exposures, health effects and interventions

Housing quality and affordability are well established as social determinants of health through direct and indirect mechanisms. Respiratory illnesses related to housing are nearly all the result of housing disrepair that allows intrusion into the home of environmental agents that are directly or indirectly associated with disease. Structural deficiencies such as leaks, cracks in the foundation or holes in the home's exterior can facilitate the presence of mould, which is causally linked to the development of asthma and is associated with exacerbation of asthma symptoms in children and adults. Indoor cleanliness can also contribute to the presence of mice and cockroaches. Proper ventilation can improve air quality, reducing exposure to PM, VOCs and infectious respiratory agents. Disparities in exposure to the housing conditions associated with respiratory disease are readily apparent across socioeconomic lines. Low-income families are less likely to be able to afford the costs of maintaining a home, which prevents them from making repairs that could improve respiratory health.Copyright © ERS 2023.

Rural and peri-urban households' handwashing behaviour before the COVID-19 pandemic: Implications for managing it in North-western Ghana

Good hygiene and handwashing remain important in public health, particularly in localities with low or no basic water and sanitation facilities. Using the Integrated Behavioural Model for water and hygiene, this study analysed key factors that shape handwashing behaviour and practices and the implications for managing the COVID-19 pandemic. The study was conducted using 20 rural and peri-urban communities in Ghana. Data gathered from 332 households and 20 focus group discussions indicated respondents have considerable knowledge of the significance of effective handwashing with soap, especially at critical moments. Although the practice of handwashing has been promoted in all the study communities, none of the households had a handwashing station. The respondents however argued that the absence of a handwashing station does not imply they do not wash their hands, especially at critical moments. Access to water, ability to buy soap, gender, and long hours of staying on distant farms shaped handwashing behaviour and practices. Although the study was conducted prior to the COVID-19 pandemic, the findings have substantial implications for the fight against the pandemic. Given that households are knowledgeable of the importance of handwashing, re-iterating the practice and intensifying advocacy on behavioural change, especially in the COVID-19 pandemic will reinvigorate handwashing.Copyright © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Critical Commentary: Beyond growth and density: Recentring the demographic drivers of urban health and risk in the global south

Debates within urban studies concerning the relationship between urbanisation and infectious disease focus on issues of urban population growth, density, migration and connectivity. However, an effective long-term risk and wellbeing agenda, without which the threat of future pandemics cannot be mitigated, must also take account of demographic forces and changes as critical drivers of transmission and mortality risk within and beyond cities. A better understanding of the dynamics of fertility, mortality and changing age structures – key determinants of urban decline/growth in addition to migration – provides the foundation upon which healthier cities and a healthy global urban system can be developed. The study of how basic demographic attributes and trends are distributed in space and how they interact with risks, including those of infectious disease, must be incorporated as a priority into a post-COVID-19 urban public health agenda. This perspective concurs with recent debates in urban studies emphasising the demographic drivers of urban change. Moreover, it raises critical questions about the microbial and environmental emphasis of much research on the interface of urban health and governance.

Examining Colorectal Cancer (CRC) Stage at Initial Diagnosis Before and During the COVID-19 Pandemic in the United States

Introduction: Colorectal Cancer (CRC) is on the rise, prompting the need for earlier screening in the United States (U.S.) population. The American Cancer Society now recommends screening for CRC in patients with average risk at the age of 45. Further complicating this picture, the COVID-19 pandemic has disrupted the routine screening process for CRC, which we hypothesize has impacted the stage at which CRC is detected. We sought to determine the extent to which the COVID-19 pandemic has affected colorectal cancer diagnosis trends at a large urban community hospital. Method(s): We performed a retrospective analysis of patients, comparing two time periods: pre-pandemic (1/1/2019-1/31/2020) and during COVID pandemic (2/1/2020-9/29/21). Data was extracted from the electronic medical record (EMR) to compile a database of patients diagnosed with CRC during these time periods. Patients included in this study had a new diagnosis of colorectal cancer and either followed with colorectal specialists at the hospital or had undergone tissue biopsy analysis by the Department of Pathology. The primary outcome was determining the stage at which CRC was detected and the modality utilized for CRC screening in that patient. Additional variables collected were as follows: age, pathological findings (grade, presence of tumor mutations, or microsatellite instability), gender, race, and insurance. Result(s): Data was collected from a total of 380 patients, which included 190 patients diagnosed with CRC within the timeframe defined as pre-pandemic and 190 diagnosed with CRC within the timeframe defined as during the pandemic. CRC diagnosis was analyzed in terms of TNM stage at time of diagnosis (Stages 0 through IV). Stage III and IV were grouped together and categorized as a late-stage diagnosis, whereas Stages 0, I, and II were grouped together and categorized as an early-stage diagnosis. Late-stage diagnosis was found in 34.7% (66/190) of patients in the pre-pandemic group. In comparison, late-stage diagnosis was found in 46.3% (88/190) of patients in the during pandemic group. Conclusion(s): Our results suggest that the COVID-19 pandemic did produce delays in care and work-up for CRC. We believe this is why CRC stage at the time of initial diagnosis was later for patients diagnosed during the pandemic than for patients diagnosed prior to the pandemic. In the future, we hope to evaluate if the impact of COVID-19 is reflected in tumor grade and genetic mutations at the time of diagnosis, and determine race and gender disparities.

Inequalities in food perceptions during the Covid-19 pandemic. A comparative study in urban and rural contexts of Tucumán (Argentina)

This work describes food experiences during the Covid-19 pandemic, according to the urban or rural ecological configuration and the socioeconomic level (SES) in households in the province of Tucumán (Argentina). A digital field work was carried out in 1342 households classified as urban (942) or rural (400) according to the criteria of the Instituto Nacional de Estadísticas y Censos. Food experiences were assessed through primary data analysis applying the Latin American and Caribbean Scale for the measurement of Food Security and SES through the Family Affluence Scale. Likewise, secondary information sources were used to characterize the structural living conditions of the urban and rural population. The results showed a higher affectation in the experiences of the home in general, compared to the experiences of adults and children and adolescents, in particular. Rural households were the most affected, as were those with low SES. However, the experiences and practices in both environments had in common the care of feeding children and adolescents. © Editado por D. Demarchi

BHIVA Spring Conference 2023

The proceedings contain 159 papers. The topics discussed include: microelimination of hepatitis C among people living with diagnosed HIV in England;laboratory implementation of emergency department blood-borne virus (EDBBV) opt-out screening in a London tertiary center;a review of sexual health and blood-borne virus care provided to inmates at admission into UK prisons and secure facilities;implementation of routine opt-out blood-borne virus (BBV) screening in 34 emergency departments (EDs) in areas of extremely high HIV prevalence in England;impact and experiences of offering HIV testing across the whole city population through primary care clusters and GP surgeries in the texting 4 Testing (T4T) project;'Not PrEPared': barriers to accessing PrEP in England;HIV care during the SARS-COV-2 pandemic for Black people with HIV in the UK;clinical presentation of mpox in people with and without HIV;and 'if you don't know, how can you know?': a qualitative investigation of HIV pre-exposure prophylaxis knowledge and perceptions among women in England.

Assessment of COVID-19 pandemic-related detrimental impact on the population of nuclear city: two-year results

Background - Since the announcement of the global coronavirus infection disease (COVID-19) pandemic, the attempts to assess the pandemic-related detrimental impact are of particular interest. The methodology of assessing the overall mortality attributed to COVID-19 pandemic, unlike the use of specific indicators that are sensitive to different methods of accounting the number of infected and deaths, provides more clear understanding of the pandemic-related impact. Objective - Quantitative assessment of the pandemic-related detrimental impact caused by the novel coronavirus infection in a small nuclear city, which is relevant for evaluating the effectiveness of anti-epidemic measures. Methods and Results - The population changes in a small urban district located in the South Ural Region of the Russian Federation were retrospectively analyzed for the decade, based on the open-source demographic data. The pandemic-related detrimental impact was calculated as overall excess mortality rate, compared with the previous non-pandemic years by using the additive model of excess absolute risk. The number of absolute excess deaths, adjusted for gender, age, population size, and number of diseased, was modeled using multivariate linear regression. The pandemic-related detriment was calculated based on the number of predicted excess deaths attributed to COVID-19. The relationship between the total number of deaths and the number of COVID-19 cases was analyzed. The total predicted two-year excess of pandemic-related deaths was 557.9. The pandemic-related total excess mortality per 1, 000 patients infected with SARSCov-2 was 50.2 (95% CI 38.4;62.0). Conclusion - The analyses revealed significant impact of the COVID-19 pandemic on the overall excess mortality in the nuclear city population in 2020 and 2021 implemented in both direct and indirect way. The population size was a major significant risk factor confounding the overall mortality. In order to develop an effective strategy to control and prevent the consequences of a pandemic, further monitoring of the epidemic situation in a nuclear city is required.Copyright © 2022, Russian Open Medical Journal.

Attitude towards covid-19 vaccines and vaccine hesitancy in antenal and breast-feeding women in tribal and urban communities of Kashmir-A cross-sectional study

Background: The World Health Organization indicated vaccine hesitancy as one of the top 10 threats to global health. The success of a vaccine depends not only on its efficacy but also on its acceptance. Pregnant women are at high risk of severe illness, intensive care unit admission (3 times more likely), and invasive ventilation (1.5 times more likely) when compared with non-pregnant women of the same age. Objective(s): * To study attitude towards covid 19 vaccines in antenatal and breastfeeding women * Proportion of vaccine hesitancy among antenatal and breastfeeding women in tribal and urban communities of Kashmir. Material(s) and Method(s): * Study design: Cross-sectional study * Study period: August 2021 to December 2021 * Study population: Antenatal and breast-feeding women in tribal and urban communities of block Hazratbal, Kashmir. * Sample size: A total of 414 participants were recruited for the study. * Sampling technique: snowball sampling. * Study tool: VAX (vaccine attitude scale) scale was used to asses attitude of study participants towards vaccine. * Information about socio demographic variables and reasons for vaccine hesitancy was also obtained. Result(s): 1) Among the reasons assessed for uncertainty or unwillingness to vaccinate (n = 350) 65% of woman were worried about possible side effects both for themselves and for fetus/infant. 2) In Response to VAX (Vaccine attitude scale) scale n = 414 % of women had high level of negative attitude towards protection after getting vaccinated and 79.9% of women had high level of negative attitude towards safety of covid-19 vaccination. Conclusion(s): The dissemination of professional and reliable information regarding the safety and efficacy of COVID-19 vaccine uptake by qualified health care personnel can significantly increase the level of trust and public awareness regarding the safety and efficacy of COVID-19 vaccine uptake in pregnancy and while breastfeeding.

Impact of COVID-19 Lockdown on Ambient Air Quality in the Southwest Coastal Urban Regions of India

The rapid growth of urban areas and population as well as associated development over recent decades have been a major factor controlling ambient air quality of the urban environment in Kerala (India). Being located at the southwestern fringe of the Indian peninsula, Kerala is one of the regions that has been significantly influenced by the activities in the Indian Ocean. The present study focuses on the effect of the COVID-19 lockdown (in 2021) on ambient air quality in the selected coastal metropolitan areas of Kerala. Although previous research studies reported improvement in ambient air quality in Kerala during the lockdown period, this study demonstrates the potential of onshore transport of air pollutants in controlling the air quality of coastal urban regions during the lockdown period. Data from the ambient air quality monitoring stations of the Kerala State Pollution Control Board in the urban areas of Thiruvananthapuram (TM), Kollam (KL), Kozhikode (KZ), and Kannur (KN) are used for the analysis. Temporal variation in the concentration of air pollutants during the pre-lockdown (PRLD), lockdown (LD), and post-lockdown (PTLD) periods (i.e., 1 March to 31 July) of 2021 is examined to assess the effect of lockdown measures on the National Air Quality Index (AQI). Results indicate a significant decline in the levels of air pollutants and subsequent improvement in air quality in the coastal urban areas. All the effect of lockdown measures has been evident in the AQI, an increase in the concentration of different pollutants including CO, SO2, and NH3 during the LD period suggests contributions from multiple sources including onshore transport due to marine traffic and transboundary transport. © 2023, The Author(s) under exclusive licence to Institute of Earth Environment, Chinese Academy Sciences.

Identification of the similarity of urban mobility country patterns during the period of COVID restrictions: Methodology and results

The term "Black Swan"by N. Taleb (Taleb, 2007) well illustrates a sudden, negatively manifesting itself in relation to the surrounding world factor. Actively used since 2015, this concept implies a shock impact on economic and production systems, which include transport and logistics systems. COVID-19 and its negative manifestations are a good example of such a 'black swan'. The serious crisis of the world economic system, which began in February-March 2020 and lasted about 450-600 days, was caused by a total restriction of elementary physical contacts between people and any manifestations of their pedestrian and transport mobility associated with it. The widespread lockdowns served this very purpose. However, lockdowns varied across countries in terms of timing, duration, methodological approaches, the strength of restrictions, and control measures. As a result, the mobility of the urban population varied with the influence of the external environment and was not identical in different cities. This paper presents the results of comparative studies of the urban population mobility dynamics in three European cities: two cities of one country - Moscow and St. Petersburg, and another European capital - Amsterdam. At the same time, the goal was to identify the urban mobility country patterns similarity during the period of COVID restrictions. Two tasks were solved: a cross-country comparison of trends in urban population mobility during 2020-2021 and a comparison of trends in population mobility in two cities of the same country. © The Authors, published by EDP Sciences.

Mental Health, Material Possessions, and Social Capital During COVID-19: A Study of the United States Urban Working-Age Population.

This study evaluates the associations between the urban working-age population's mental health, material possession, and social capital during the COVID-19 pandemic. The specific stressors examined in this empirical analysis are income level, food insecurity, and virtual psychological support. This paper further examines the differences across the employed and unemployed population groups. We obtained data from the COVID-19 Household Impact Survey and constructed four measures of mental health conditions: Nervous, Depressed, Lonely, and Hopeless. Our empirical analyses use an ordinal regression model that takes both time and regional factors into consideration to control for potential time effects and time-invariant confounders that only vary between regions. For the employed group, the main results suggest that lower income and food insecurity is correlated with a higher frequency of mental health symptoms, while virtual psychological support predicts a better mental health status. For the unemployed group, food insecurity is negatively associated with mental health, and virtual psychological might help alleviate nervousness and depression.

Urban Population Exposure to Air Pollution Under COVID-19 Lockdown Conditions—Combined Effects of Emissions and Population Activity

The aim of this study is to quantify the BIAS in air pollution (PM2.5, NO2) exposure estimates that arise from neglecting population activity under COVID-19 lockdown conditions. We applied mobility data as derived from different sources (Google, Eurostat, Automatic Identification System, etc.) to model the impact of (1) changing emissions and (2) the change in population activity patterns in a European multi-city (Hamburg, Liège, Marseille) exposure study. Our results show significant underestimations of exposure estimates when activity profiles are either neglected or not adjusted for lockdown conditions. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Assessment of changes in the online labour market in the context of the COVID-19 pandemic: comparison of the dynamics of rural and urban participation

The digital platforms provide rural and small-town residents with access to quality education and a variety of other services, as well as open opportunities for remote job search and the implementation of professional skills. These processes should increase the role of small towns and villages in the formation of the country's online economy, including during the COVID-19 pandemic. The purpose of the article is to compare the participation of residents of large cities and the rest of the Russian population in the field of online work, as well as to compare their skill level. The authors found that residents of small towns and rural areas of Russia are less active in the online labour market. The level of their qualifications is also relatively low. The conclusions were obtained based on the analysis of search queries on the subject of freelancing originating from these localities. Copyright © 2023 Inderscience Enterprises Ltd.

Demographic and Clinical Presentation of Hospitalised Patients with Sars-Cov-2 Omicron Variant

Introduction Objectives of this retrospective study were to describe clinical presentations and mortality outcome of hospitalised patients with COVID-19 omicron variant within two acute district general hospitals and to evaluate demographic factors associated with these presentations and mortality. Methods Data was obtained over a month in 2021-22 from a retrospective survey of all patients hospitalised and detected to have SARS-COV-2 omicron variant infection. The trust serves a diverse multi-ethnic inner-city population. Data included socio-demographic details, vaccination status, admitting specialty and mortality outcome. Patients were sub-divided into three groups;Group 1 were admitted with 'true' COVID pneumonitis;Group 2 were found to have 'incidental' COVID on admission screening;Group 3 were negative for COVID on admission but developed COVID >7days after admission. Results Of 553 patients, only 24.1%[133/553] were in Group 1;322[58.2%] in Group 2;98[17.7%] in Group 3. Patients with Group 1 and Group 3 were significantly older than those in Group 2 (p<0.001). 30% patients from BAME ethnicity had COVID pneumonitis compared to 19% from white ethnicity[p=0.002]. 20% patients were admitted within non-medical specialties i.e. surgical specialties, paediatrics and obstetrics. Of 36 requiring critical care, only 21 were in Group 1;20/21[95%] of these were unvaccinated;7/21 who died were all unvaccinated[100%]. This study showed that common COVID presentations included delirium, falls (and fractures), seizures, COPD, and antenatal problems. 13.7%[76/553] patients died;only 21 were in Group 1[27.6%]. Only 26 deaths were directly attributable to COVID;4.7%[26/553] of all patients. Discussion This large multi-ethnic study has described clinical presentations and mortality of hospitalised patients with omicron. It has determined socio-demographic factors associated with these presentations including ethnicity and vaccination rates. The study useful information for future COVID studies examining outcomes and presentations of omicron and future COVID variants.

Newly diagnosed diabetes in patients with COVID-19: in a tertiary care center in central India

Background: Diabetes mellitus (DM) is associated with adverse clinical outcomes and high mortality in patients with corona virus disease 2019 (COVID-19). The relationship between diabetes and COVID-19 is known to be bidirectional. Aim: To analyze the rate of new-onset diabetes in COVID-19 patients and asses the clinical outcomes of new-onset diabetes and hyperglycemia among COVID-19 patients Methods: This cross sectional study was enrolled individuals admitted with COVID-19 and newly diagnosed diabetes mellitus. (DM);based on laboratory diagnoses. Results: Analysis showed that 13.7% (84/610) of COVID-19 patients had newly diagnosed DM. Majority of the newly diagnosed diabetic patient was male (58.3%), most of them (33.3%) were 51-60 year age group. Higher incidence of DM was reported in urban population (54.8%). The significant risk factors of diabetes were found family history of diabetes, (53.6%) and obesity (72.6%). Hypertension was the most common (61.7%) comorbidity associated with the DM. Conclusions: Diabetes diagnosed at COVID-19 presentation is associated with lower glucose but higher inflammatory markers and ICU admission, suggesting stress hyperglycemia as a major physiologic mechanism.

Relationship between anxiety resulting from COVID-19 and mental health in the population over 18 years old in Qaemshahr, Iran, 2021

Background: COVID-19, the third pandemic of the 21st century, is highly contagious and can cause anxiety due to the development of serious physical problems and the reduction of quality of life. Anxiety is a psychological state experienced by nearly all humans during their lives. However, it is considered a mental disorder if it exceeds its moderate level. Objectives: Therefore, the present study aimed to determine the anxiety level, mental health, and their related factor in the population above 18 years old in Qaemshahr, Iran. Methods: This descriptive, correlational study was conducted on 400 individuals in Qaemshahr County who were selected by convenience sampling in 2021. Given the population of this county, convenience sampling was employed to select 40% of the participants from the rural population and 60% from the urban population. The data were collected using a demographic questionnaire (7 items), the Corona Disease Anxiety Scale, including somatic (physical) anxiety and psychic (mental) anxiety sections, and the 12-item General Health Questionnaire. Descriptive and inferential statistical tests were used for data analysis. Results: The mean score of mental health was 22.93 +or- 8.9, which accounted for 63.69% of the total score of the questionnaire. The total mean score of anxiety was also measured at 9.46 +or- 6.89, which contributed to 31.53% to the total score of the questionnaire. According to the results, physical anxiety per se predicted 31% of the dependent variable (mental health). Conclusion: It can be concluded that critical conditions affect individuals' anxiety and mental health levels. Therefore, it is essential to pay more attention to the people who lack sufficient socioeconomic support systems.

Food Insecurity and Health Behaviors Among a Sample of Undergraduate Students at an Urban University

Students at universities are experiencing food insecurity, which may be associated with health behaviors. In a pilot study to build a survey that assesses food insecurity and health behaviors among undergraduates, we distributed the survey before (Wave 1;fall 2019) and during (Wave 2;summer 2020) COVID-19. During Wave 1, 41% of students reported food insecurity and 61% met criteria for poor sleep. In Wave 2, 26% reported food insecurity and 49% met criteria for poor sleep. Students experiencing food insecurity were more likely to report poor sleep. This survey will inform recruitment and design of a scaled-up multi-campus study. (100/100 words). © 2022 Taylor & Francis Group, LLC.