Developing Business Model Competences in the Enterprise

Despite the COVID-19 pandemic, 2021 saw a growing interest in starting own business: as per the Census Bureau's Business Formation Statistics, the number of applications to form new businesses filed in the U.S. was the highest compared to any other year on record, reaching the total of 5.4 million (Economic Innovation Group, 2022), while in the EU, after an initial downward trend recorded in the first and second quarters of 2020, the number of new business registrations grew again in the third quarter of that year, and this upward trend continued throughout 2021 (Eurostat, 2022). Of course, as a result of Russia's invasion on Ukraine and related economic crisis, a downward tendency could be observed, but business registration levels in the EU in the first quarter of 2022 were still higher than during the pre-COVID 19 pandemic period (2015-2019) (Eurostat, 2022) and online searches indicating and intent to open a business spiked by 76% from 2018 to 2022 (Search Engine Journal, 2022). This shows that despite many external impediments, people are still tempted to start their own business, and many influencers, motivational speakers and coaches, as well as various popular TV shows broadcast worldwide (like the Apprentice, Dragons' Den, Shark Tank or Planet of the Apps) encourage them to do so. Becoming an entrepreneur has become a goal many people, especially 20-, 30- and 40-year-olds, strive to achieve. However, many of those people fail to realise that the very entry in the business register does not automatically make them entrepreneurs or their business successful. Neither does a good (or even excellent and innovative) business idea that attracts customers, as it was in Kodak's, Blockbuster's, or Ask Jeeves' case. What is required, is the ability to stay attractive to existing and prospective customers, i.e., the ability to win and retain customers, and to adapt to the changing demands, trends and economic conditions. All this can be achieved thanks to a meticulously designed and regularly reviewed and updated business model. The aim of this paper is to present and analyse the learning process of acquiring and building competences in the area of business models with the use of different innovative tools. The results presented and discussed in this article come from surveys as well as face-to-face and on-line meetings conducted in the ProBM 2 ERASMUS+ project (Understanding and Developing Business Models in the Era of Globalisation), in which the total of 261 respondents from seven (7) European countries, i.e. Poland, Italy, Greece, Romania, Portugal, Malta, and Switzerland, took part between 2019 and 2022. From the meetings and surveys it follows that much more awareness of business models needs to be encouraged and developed, particularly as regards improving competences helping future business owners and their employees assess profitability and efficiency of their operations and ensure that the business will be a going concern. © 2022 Authors. All rights reserved.

Municipalities' educational response to COVID-19: Diversity, course, and inequalities

The article analyzes the modalities of educational responses of municipal education networks in face of the interdiction of classroom school activities caused by COVID-19 pandemic, the patterns of response, and, particularly, the extent to which the variations in the quality and extension of these strategies tend to reproduce or deepen existing educational inequalities. The objective was operationalized with the analysis of data from answers to questionnaires applied by the education census, gathered in a synthetic indicator. The indicator behavior was analyzed considering the legacy of previous education policies measured by the municipal Basic Education Development Index (Ideb) -, the socio-economic context in which they were implemented - the average socio-economic levels of the network students -, the Brazilian regional diversity, and the municipalities' population size. Results indicate that, in fact, in municipalities with higher socio-economic levels and more successful education path, alternatives to school closing tended to be more comprehensive and diversified, which suggests the risk that it can be another vector for the deepening of educational inequalities.

Small area population denominators for improved disease surveillance and response.

The Covid-19 pandemic has highlighted the value of strong surveillance systems in supporting our abilities to respond rapidly and effectively in mitigating the impacts of infectious diseases. A cornerstone of such systems is basic subnational scale data on populations and their demographics, which enable the scale of outbreaks to be assessed, risk to specific groups to be determined and appropriate interventions to be designed. Ongoing weaknesses and gaps in such data have however been highlighted by the pandemic. These can include outdated or inaccurate census data and a lack of administrative and registry systems to update numbers, particularly in low and middle income settings. Efforts to design and implement globally consistent geospatial modelling methods for the production of small area demographic data that can be flexibly integrated into health-focussed surveillance and information systems have been made, but these often remain based on outdated population data or uncertain projections. In recent years, efforts have been made to capitalise on advances in computing power, satellite imagery and new forms of digital data to construct methods for estimating small area population distributions across national and regional scales in the absence of full enumeration. These are starting to be used to complement more traditional data collection approaches, especially in the delivery of health interventions, but barriers remain to their widespread adoption and use in disease surveillance and response. Here an overview of these approaches is presented, together with discussion of future directions and needs.

Predictors of Evacuation Rates during Hurricane Laura: Weather Forecasts, Twitter, and COVID-19

Machine learning was applied to predict evacuation rates for all census tracts affected by Hurricane Laura. The evacuation ground truth was derived from cellular telephone–based mobility data. Twitter data, census data, geographical data, COVID-19 case rates, the social vulnerability index from the Centers for Disease Control and Prevention (CDC)/Agency for Toxic Substances and Disease Registry (ATSDR), and relevant weather and physical data were used to do the prediction. Random forests were found to perform well, with a mean absolute percent error of 4.9% on testing data. Feature importance for prediction was analyzed using Shapley additive explanations and it was found that previous evacuation, rainfall forecasts, COVID-19 case rates, and Twitter data rank highly in terms of importance. Social vulnerability indices were also found to show a very consistent relationship with evacuation rates, such that higher vulnerability consistently implies lower evacuation rates. These findings can help with hurricane evacuation preparedness and planning as well as real-time assessment. © 2023 American Meteorological Society.

Socially Vulnerable Patients with Inflammatory Bowel Disease Are at Increased Risk for Vaccine Preventable Illness

INTRODUCTION: Inflammatory bowel disease (IBD) affects patients across diverse ethnic, minority, cultural, and socioeconomic backgrounds;however, the relationship between these social determinants of health (SDOH) and IBD outcomes is not well-studied. SDOH have a known impact on disparities in vaccination, but these effects may be more salient in the IBD population where patients are at greater risk for vaccine-preventable illness from immunosuppressive therapies. The social vulnerability index (SVI) is a tool provided by Centers for Disease Control that can identify individuals at risk for health care disparities by estimating neighborhood-level social need on a 0-1 scale (higher scores indicating greater social vulnerability). Utilizing census tract-level SVI data, we aimed to identify the relationship between the SDOH and vaccination rates in patients with IBD. METHOD(S): We used a retrospective cohort design of patients seen at a single IBD center between 01/01/2015 and 08/31/2022. Using the current address listed in the electronic medical record, we geocoded patients to individual census tracts and linked them to corresponding SVI and subscales (Figure 1). Controlling a priori for age, gender, race, ethnicity, marital status, English proficiency, electoral district, and religious affiliation, we used multivariable linear regression to examine the relationship between SVI and vaccination against influenza, Covid-19, pneumococcal pneumonia (conjugate and polysaccharide), and Zoster. RESULT(S): 15,245 patients with IBD were included and the percent of unvaccinated individuals was high across all vaccine types: flu (42.8%), Covid-19 (50.9%), pneumonia (62.4%), and Zoster (89.6%). High total levels of social vulnerability were associated with lower vaccination rates across all vaccine groups: flu (B -1.3, 95% CI -1.5, -1.2, p<0.001), Covid-19 (B -0.99, 95% CI -1.1, -0.88), p<0.001), pneumonia (B -0.21, 95% CI -0.27, -0.14, p<0.001), Zoster (B -0.23, 95% CI -0.27, -0.19, p<0.001). On SVI sub-scales, high scores in Socioeconomic Status, Household Composition, and Housing/Transportation were important predictors of vaccine uptake while Minority Status/Language was non-significant (Table 1). CONCLUSION(S): Living in a socially vulnerable community is associated with lower vaccination rates across all vaccine types. Higher scores on neighborhood level Socioeconomic Status, Household Composition, and Housing/Transportation were also associated with lower vaccine uptake. Many factors may affect why socially vulnerable patients are under-vaccinated, including a lack of patient and provider knowledge of routine vaccines, lack of access to care, and poor trust in vaccines and healthcare system. Further research is needed improve IBD health maintenance in gastroenterology clinics and ensure equitable distribution of vaccines to socially vulnerable patients. [Formula presented] [Formula presented]Copyright © 2023

Racial and Socioeconomic Disparities in Colorectal Cancer Screening During the COVID-19 Pandemic

INTRODUCTION: Colorectal cancer (CRC) screening has reduced CRC mortality. The COVID-19 pandemic led to a reduction in screening volume. We sought to evaluate whether specific populations or socioeconomic groups were disproportionately impacted by the reduced access to care. METHOD(S): Patients eligible for CRC screening in a large integrated healthcare system, who had a primary care visit between January 2016 and April 2022, were evaluated. Trends in CRC screening were assessed by age, race, gender, insurance type, and geographic delineation by state and classification of urban or rural areas. Multilevel logistic regression models evaluated region-level cluster effects of CRC screening by patient demographics, insurance, and social vulnerability index (SVI), including socioeconomic status, household composition and disability, minority status and language, and housing and transportation domains. The interaction between trend in CRC screening and race was also investigated. RESULT(S): A total of 654,386 patients were screeneligible between January 2016 and April 2022. The cohort screening rate peaked at 70% in 2019 with a subsequent downtrend to a nadir of 63.6% through the first part of 2022. Whereas the Native American population is consistently the least screened population, the Asian population demonstrated the most significant decrease in screening during and after the COVID-19 pandemic, falling from a peak at 69.1% in 2019 to 59.3% in 2021;this remains low in 2022 at 58.9%. Further, older patients, males, location in an urban area, White ethnicity and use of commercial insurance were significantly associated with higher odds of CRC screening (p< 0.001). Conversely, patients living in more vulnerable census tracts based on the SVI socioeconomic status and housing/transportation domain had lower odds of having CRC screening (p< 0.001). Finally, there was a significant interaction between trend in CRC screening and race. The CRC screening rate increased between 2016 and 2019 and then decreased for all races, but Asian patients had the most significant decrease in CRC screening between 2020 and 2021 (68.3% versus 60.2%, p< 0.001;Figure 1). CONCLUSION(S): This is the first study to demonstrate that the COVID-19 pandemic led to a population-wide decrease in CRC screening volume that disproportionately affected the Asian population and those of lower socioeconomic status. We are currently evaluating whether this impacted stage migration and mortality. (Figure Presented).

Geographical Disparity in Cardiorespiratory Fitness among 3,189,540 Japanese Children and Adolescents before and during the Coronavirus 2019 Pandemic: An Ecological Study.

This ecological study aimed to use nationally representative physical fitness (PF) data to investigate the geographical disparities in cardiorespiratory fitness (CRF) among Japanese children across prefectures before and during the coronavirus 2019 (COVID-19) pandemic. The publicly available descriptive PF data of children from Grade 5 (10-11 years; n = 1,946,437) and adolescents from Grade 8 (13-14 years; n = 1,243,103) at the prefecture level (47 prefectures) were obtained from the annual census PF survey in 2019 (before the pandemic) and 2021 (during the pandemic). The 20 m shuttle run performance was used as a measure of CRF. Geographical disparity was evaluated using the coefficient of variation (CV) for CRF across prefectures. There were significant negative relationships between the magnitude of infections (evaluated as the number of confirmed cases) and changes in CRF at the prefecture level (r ≤ -0.293, p < 0.05). This study also found a substantial increase in CVs of CRF across prefectures for Grade 8 students, suggesting that COVID-19-related restrictions had widened the geographical disparity in CRF among Japanese adolescents. Adolescents' CRF is an important marker for current and future health; hence, the findings of widening geographical disparities in CRF are suggestive of widening geographical disparities in health among the Japanese population.

Comparative Study on Socio-Spatial Structures of the Typical Plain Cities of Chengdu and Beijing in Transitional China

China's socioeconomic transformation and rapid urbanization since the end of the 20th Century have had an important impact on the social spatial structure of large cities. Social differentiation within cities is becoming increasingly prominent. Using detailed data gathered by the Fifth National Population Census of 2000, this study compares the social spatial structure and dynamic mechanisms of the core areas of the cities of Beijing and Chengdu. Factorial ecology analysis is used at the mesoscale to explore the following research questions: ‘How did factors shape the social spaces of two cities with similar topography but at different stages of development during China's transition from a planned to a market economy?';and ‘Are the traditional Western theories of socio-spatial interpretation equally applicable to China?'. The results show that Chengdu exhibits a combination of a concentric circle, fan-shaped, and multi-core socio-spatial structure, while Beijing shows a fan-shaped structure. In 2000, influenced by its overall level and stage of socioeconomic development, Beijing was experiencing a faster socio-spatial transformation than Chengdu, and the driving effect of capital on social differentiation and spatial competition was more obvious. The main dynamic mechanisms driving the formation of socio-spatial structures in Beijing and Chengdu include the natural environmental foundation, historical inheritance, urban planning, housing policies, and international influence. The three major variables in the study of traditional Western social spaces, namely economy, family, and ethnic status, were confirmed as applicable to our two case study cities with socioeconomic status as measured by occupation and housing conditions exerting the strongest effect. This perspective of comparing different cities in the same transitional period offers unique insights in identifying the key drivers of socio-spatial differentiation and polarization and their relative magnitude of effect, while enriching the catalog of empirical urban social space research both in China and in the rest of the world.

A Statistical Understanding of Disability in the LGBT Community

For the first time ever, the United States Census Bureau began collecting data on the LGBT community with Phase 3.2 of the Household Pulse Survey. The Household Pulse Survey assesses how residents of the United States are doing during the COVID-19 pandemic. The data provided by the Household Pulse Survey Week 34 through Week 39 provides information to understand the lives of LGBT residents of the United States and how the LGBT community as a whole is doing economically.This study merges six weeks of the Household Pulse Survey, for a total of 382,908 survey responses. The sample represents a population of 250,265,449 adult residents aged 18 and older in the United States. This study provides the first nationally representative sample of residents of the United States that identify as transgender. This study specifically focuses on LGBT people with disabilities but highlights disparities facing transgender disabled U.S. adult residents. Disability is defined in the Household Pulse Survey as a severe or total impairment of those with seeing, hearing, remembering, and mobility disability types. The data indicates significant disparities for LGBT people compared to non-LGBT people, specifically in terms of economic considerations like work loss, household finances, and mental health. [ABSTRACT FROM AUTHOR] Copyright of Statistics & Public Policy is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

INFLUENCE OF CONSTRUCTION COST INCREASE ON REAL ESTATE PRICE INCREASE – FOCUS ON ZAGREB IN 2022

During last decade there is a constant increase in number of new properties built in Zagreb. There is a large number of new residences, as well as business buildings constructed, with a direct impact on revenue increase of construction companies working in Zagreb area. Regardless of the fact that number of Zagreb population has not changed significantly in last decade, there is an increase of new buildings followed by significant price increase of real estate, especially during last five years. Lack of commercial, or business buildings in Zagreb, as well as workplace deficit in Slavonia have an impact on demand growth in Zagreb real estate sector. With additional flow of Croatian students to Zagreb, demand for quality accommodation has a direct impact on real estate selling price. Recently there was a significant price increase of material and labor, which had additional impact of real estate price increase. Goal of this paper is to analyze available public data that represents material price change, as well as to analyze financial reports of biggest construction companies from Zagreb area. Analyzed data should display impact of material and labor price increase on real estate price increase, and what could be anticipated in following years.

Could Earlier Availability of Boosters and Pediatric Vaccines Have Reduced Impact of COVID-19?

The objective is to evaluate the impact of the earlier availability of COVID-19 vaccinations to children and boosters to adults in the face of the Delta and Omicron variants. We employed an agent-based stochastic network simulation model with a modified SEIR compartment model populated with demographic and census data for North Carolina. We found that earlier availability of childhood vaccines and earlier availability of adult boosters could have reduced the peak hospitalizations of the Delta wave by 10% and the Omicron wave by 42%, and could have reduced cumulative deaths by 9% by July 2022. When studied separately, we found that earlier childhood vaccinations reduce cumulative deaths by 2,611 more than earlier adult boosters. Therefore, the results of our simulation model suggest that the timing of childhood vaccination and booster efforts could have resulted in a reduced disease burden and that prioritizing childhood vaccinations would most effectively reduce disease spread. © 2022 IEEE.

Reconsidering the Use of Race in Spirometry Interpretation

An article in this issue of American Family Physician describes the importance of spirometry in making an accurate diagnosis of obstructive lung disease and in distinguishing between asthma and chronic obstructive pulmonary disease.1 An analysis of the Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study—a prospective cohort study of more than 3,000 participants—found that the use of race corrections in spirometry interpretation did not help to predict chronic lower respiratory disease events any more accurately than the use of race-neutral calculations.2 This analysis demonstrated how a 65-year-old man with a specific height, forced expiratory volume in one second (FEV1), and forced vital capacity (FVC) would receive a percentage-predicted FEV1 result of 70% (i.e., moderate lung disease) using a White race correction as opposed to a result of 82% (i.e., normal lung function) using a Black race correction because of assumptions that Black patients have a smaller lung capacity.2 Thus, a Black patient could receive a false-negative interpretation of results and be deprived of symptomatic treatment or more targeted counseling for underlying asthma or chronic obstructive pulmonary disease. Others have raised concerns about the use of race-based spirometry in assessing recovery following COVID-19 infection, which could result in missing the diagnosis of restrictive ventilatory dysfunction.3

Socially Vulnerable Patients with Inflammatory Bowel Disease Are at Increased Risk for Vaccine Preventable Illness

INTRODUCTION: Inflammatory bowel disease (IBD) affects patients across diverse ethnic, minority, cultural, and socioeconomic backgrounds;however, the relationship between these social determinants of health (SDOH) and IBD outcomes is not well-studied. SDOH have a known impact on disparities in vaccination, but these effects may be more salient in the IBD population where patients are at greater risk for vaccine-preventable illness from immunosuppressive therapies. The social vulnerability index (SVI) is a tool provided by Centers for Disease Control that can identify individuals at risk for health care disparities by estimating neighborhood-level social need on a 0-1 scale (higher scores indicating greater social vulnerability). Utilizing census tract-level SVI data, we aimed to identify the relationship between the SDOH and vaccination rates in patients with IBD. METHOD(S): We used a retrospective cohort design of patients seen at a single IBD center between 01/01/2015 and 08/31/2022. Using the current address listed in the electronic medical record, we geocoded patients to individual census tracts and linked them to corresponding SVI and subscales (Figure 1). Controlling a priori for age, gender, race, ethnicity, marital status, English proficiency, electoral district, and religious affiliation, we used multivariable linear regression to examine the relationship between SVI and vaccination against influenza, Covid-19, pneumococcal pneumonia (conjugate and polysaccharide), and Zoster. RESULT(S): 15,245 patients with IBD were included and the percent of unvaccinated individuals was high across all vaccine types: flu (42.8%), Covid-19 (50.9%), pneumonia (62.4%), and Zoster (89.6%). High total levels of social vulnerability were associated with lower vaccination rates across all vaccine groups: flu (B -1.3, 95% CI -1.5, -1.2, p<0.001), Covid-19 (B -0.99, 95% CI -1.1, -0.88), p<0.001), pneumonia (B -0.21, 95% CI -0.27, -0.14, p<0.001), Zoster (B -0.23, 95% CI -0.27, -0.19, p<0.001). On SVI subscales, high scores in Socioeconomic Status, Household Composition, and Housing/ Transportation were important predictors of vaccine uptake while Minority Status/ Language was non-significant (Table 1). CONCLUSION(S): Living in a socially vulnerable community is associated with lower vaccination rates across all vaccine types. Higher scores on neighborhood level Socioeconomic Status, Household Composition, and Housing/Transportation were also associated with lower vaccine uptake. Many factors may affect why socially vulnerable patients are under-vaccinated, including a lack of patient and provider knowledge of routine vaccines, lack of access to care, and poor trust in vaccines and healthcare system. Further research is needed improve IBD health maintenance in gastroenterology clinics and ensure equitable distribution of vaccines to socially vulnerable patients. (Figure Presented).

Impact of COVID-19 Restrictions on the Urban Thermal Environment of Edmonton, Canada.

The effects of the COVID-19 pandemic on urban environments are addressed in many recent studies. However, limited research has been conducted to examine the impact of the pandemic on anthropogenic emissions over urban land use types, and their relation to socioeconomic characteristics. Anthropogenic heat, as the main contributor to the urban temperature, is changed by the sudden halt imposed by COVID-19 lockdowns. This study thus focuses on previously under-explored urban thermal environments by quantifying the impact of COVID-19 on urban thermal environments across different land-use types and related socioeconomic drivers in Edmonton, Canada. Using Landsat images, we quantified and mapped the spatial pattern of land surface temperature (LST) for business, industrial, and residential land use areas during both the pandemic lockdown and pre-pandemic periods in the study area. Results show that temperature declined in business and industrial areas and increased in residential areas during the pandemic lockdown. Canadian census and housing price data were then used to identify the potential drivers behind the LST anomaly of residential land use. The most important variables that affected LST during the lockdown were found to be median housing price, visible minority population, postsecondary degree, and median income. This study adds to the expanding body of literature about the impact of the COVID-19 pandemic by providing unique insights into the effect of lockdown on a city's thermal environments across different land use types and highlights critical issues of socioeconomic inequalities, which is useful for future heat mitigating and health equity-informed responses.

Critical care pharmacy workforce: a 2020 re-evaluation of the UK deployment and characteristics.

INTRODUCTION: Critical care pharmacists improve the quality and efficiency of medication therapy whilst reducing treatment costs where they are available. UK critical care pharmacist deployment was described in 2015, highlighting a deficit in numbers, experience level, and critical care access to pharmacy services over the 7-day week. Since then, national workforce standards have been emphasised, quality indicators published, and service commissioning documents produced, reinforced by care quality assessments. Whether these initiatives have resulted in further development of the UK critical care pharmacy workforce is unknown. This evaluation provides a 2020 status update. METHODS: The 2015 electronic data entry tool was updated and circulated for completion by UK critical care pharmacists. The tool captured workforce data disposition as it was just prior to the COVID-19 pandemic, at critical care unit level. MAIN FINDINGS: Data were received for 334 critical care units from 203 organisations (96% of UK critical care units). Overall, 98.2% of UK critical care units had specific clinical pharmacist time dedicated to the unit. The median weekday pharmacist input to each level 3 equivalent bed was 0.066 (0.043-0.088) whole time equivalents, a significant increase from the median position in 2015 (+ 0.021, p < 0.0001). Despite this progress, pharmacist availability remains below national minimum standards (0.1/level 3 equivalent bed). Most units (71.9%) had access to prescribing pharmacists. Geographical variation in pharmacist staffing levels were evident, and weekend services remain extremely limited. CONCLUSIONS: Availability of clinical pharmacists in UK adult critical care units is improving. However, national standards are not routinely met despite widely publicised quality indicators, commissioning specifications, and assessments. Additional measures are needed to address persistent deficits and realise gains in organisational and patient-level outcomes. These measures must include promotion of cross-professional collaborative working, adjusted funding models, and a nationally recognised training pathway for critical care pharmacists.

Deprivation in England, 1971-2020.

Measures of small area deprivation have played a major role in targeting resources in the UK. The English Index of Multiple Deprivation (IMD) is the official measure of small area deprivation in England and it has been used to allocate billions of pounds of government money. The success of schemes to reduce deprivation can only be assessed by measuring changes in deprivation over time. In addition, the effect of such schemes is likely to be a partly a function of the deprivation history of an area. More generally, the trajectory of deprivation, and not just its current state, is important in understanding the likely impacts of deprivation on those who live in deprived areas. This paper combines the strengths of the IMD as a broad-ranging measure based on administrative data (here, using the 2004, 2007, 2010, 2015 and 2019 indices) and the Townsend score derived from Census data for a much longer time period (1971 to 2011). In addition, benefit claimant count data are used as a proxy for unemployment following the national Covid-19 lockdowns. The paper identifies some major trends in small area deprivation and unemployment over the period 1971 to 2020 and it highlights some key similarities and differences between the Townsend score and the IMD and makes links to changes in unemployment in 2020. Areas with very long term deprivation are identified and the strong association between job losses following Covid-19 lockdown and deprivation histories is demonstrated. The analyses are used to argue that deprivation trajectories should be considered if effective strategies for reducing spatial inequalities are to be developed.

Physical fitness before and during the COVID-19 pandemic: Results of annual national physical fitness surveillance among 16,647,699 Japanese children and adolescents between 2013 and 2021.

BACKGROUND: The primary aim was to examine the temporal trends in physical fitness (PF) for Japanese children and adolescents before and during the coronavirus disease 2019 pandemic. The secondary aim was to estimate the concurrent trends in body size (measured as body mass and height) and movement behaviors (exercise, screen, and sleep time). METHODS: Census PF data for children in Grade 5 (aged 10-11 years) and adolescents in Grade 8 (aged 13-14 years) were obtained for the years 2013-2021 from the National Survey of Physical Fitness, Athletic Performance, and Exercise Habits in Japan (n = 16,647,699). PF and body size were objectively measured, and movement behaviors were self-reported. Using sample-weighted linear regression, temporal trends in mean PF were calculated before the pandemic (2013-2019) and during the pandemic (2019-2021) with adjustments for age, sex, body size, and exercise time. RESULTS: When adjusted for age, sex, body size, and exercise time, there were significant declines in PF during the pandemic, with the largest declines observed in 20-m shuttle run (standardized (Cohen's) effect size (ES) =  - 0.109 p.a.) and sit-ups performance (ES = - 0.133 p.a.). The magnitude of the declines in 20-m shuttle run and sit-ups performances were 18- and 15-fold larger, respectively, than the improvements seen before the pandemic (2013-2019), after adjusting for age, sex, body size, and exercise time. During the pandemic, both body mass and screen time significantly increased, and exercise time decreased. CONCLUSION: Declines in 20-m shuttle run and sit-ups performances suggest corresponding declines in population health during the COVID-19 pandemic.

Impacts of COVID-19 on Bus Ridership and Recovery Trends in Syracuse, New York

COVID-19 had serious repercussions on public transportation throughout the USA. The aftermath of the peak of the crisis marked the path towards a slow and gradual recovery characterizing the shift to a new normal. Given the limited information on the recovery trends of public transportation, this paper compares the actual ridership and bus supply data for the years of 2019 and 2020 to study the timeline impacts of the pandemic on the bus system of the mid-sized city of Syracuse, NY. A data-driven analysis is presented across the city's bus routes, university bus routes, and categorical bus stops. Various census tract socio-demographic data are also correlated with passenger activity changes and mapped using ArcGIS. The findings show that overall bus ridership in 2020 fell by 70%, on average, during the three months that followed the onset of the pandemic. Since the lifting of the initial restrictions, concerns about using public transportation had partially been alleviated;however, passengers remained reluctant with ridership decline stabilizing at approximately 55% during the last four months of the year. While bus lines serving the university area, which houses a high percentage of youth, were severely affected by the pandemic, passenger activity near hospital stops were less affected and those near major supermarkets/ hypermarkets seemed unaffected, showing a surge especially in the two months that followed the onset of the pandemic. Passenger activity at census tracts having low poverty levels mostly located on the outskirts of the city of Syracuse were the least affected tracts in the last six months of 2020. It is anticipated that the insights presented will help service planners in preparing for similar future events by better understanding what stops and routes are deemed essential during a public health crisis and how the socio-demographics impacted the recovery after restrictions were removed. [ FROM AUTHOR]

Reports of Long Covid wane

The article presents reports from the Household Pulse Survey conducted by the U.S. Census Bureau which shows that the prevalence of Long Covid among Americans who have had the virus is declining, and some people are recovering from the chronic symptoms associated with Long Covid.

Pandemic effects on social capital and loneliness in residents and non-residents of Chinese immigrant enclaves in Philadelphia

The COVID-19 pandemic profoundly affected cancer prevention behaviors and cancer care. Social capital is also thought to affect cancer prevention and care, with some observed improvements in well being and survival among cancer patients. Residents of immigrant enclaves are thought to have more social capital than non-residents, potentially buffering against negative effects of the pandemic. We compared residents and non-residents of Chinese immigrant enclaves in Philadelphia with respect to their social capital and loneliness and change in these factors from before to during the pandemic. Participants were 520 Chinese immigrant men and women aged 3565 y. Baseline interviews conducted 9/18-01/20 included questions on residence and demographics, structural and cognitive social capital (short version of the Adapted Social Capital Assessment Tool (SASCAT)), and a validated 3-item loneliness scale. The SASCAT includes questions on membership in neighborhood groups, receiving support from specific individuals (e.g., family, neighbors, friends), and cognitive social capital representing perceived levels of trust and belonging in the neighborhood. In May-July 2020, 419 participants completed a follow-up interview that included the SASCAT and loneliness scales. Participants were categorized as residing in a traditional, emerging, or non-enclave neighborhood depending on the ethnic density of their census tract and adjacent tracts. At baseline there were no significant differences in social capital or loneliness across neighborhood types. During the pandemic, participants regardless of neighborhood type reported declines in group membership (18% baseline vs. 11% pandemic) and loneliness (25% vs. 12%), and increases in cognitive social capital (85% vs. 99%) and receiving support from individuals (35% vs. 69%) (all p<0.001). However, extent of change differed by neighborhood, resulting in significantly less loneliness among residents of traditional enclaves (5%) than in emerging (14%) and non-enclave (16%) residents (p=0.02) during the pandemic. Multivariate analyses using generalized estimating equation models indicated that residents of traditional enclaves experienced a larger decrease in loneliness than other participants (interaction p=0.009), and that residents of traditional and emerging enclaves experienced a larger increase in cognitive social capital than residents of non-enclaves (interaction p=0.03). Our findings provide evidence that while the pandemic may have effected declines in group membership in this sample of Chinese immigrants, it was associated with increases in other forms of social capital and with a decrease in loneliness, particularly among enclave residents. These findings suggest the importance of clarifying how social capital derived from interacting within an immigrant enclave might be leveraged to counter the effects of a community stressor such as the COVID-19 pandemic, and used towards positive cancer outcomes in these communities.