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Australasian Leisure Management ; 138:26-28, 2020.
Article in English | CAB Abstracts | ID: covidwho-1863859


This article explains how cleaning of recreation, entertainment and sport venues in Australia faces a new array of challenges because of COVID-19.

2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 ; : 1366-1369, 2021.
Article in English | Scopus | ID: covidwho-1861124


The COVID-19 pandemic has had substantial impacts on the Earth system and socioeconomic activities. Restrictions aimed at reducing the spread of COVID-19 by limiting human interaction have led to significant reductions in air pollution and CO2 emissions, improvement in water quality, changes in agricultural output, and changes in economic activity for certain industries such as airlines and shipping, among others [1, 2, 3, 4, 5]. Those economic impact assessment related information are made available on the trilateral COVID-19 Earth Observing Dashboard ( [6]. The presented use cases in economic activities make full use of the combined satellites fleet of NASA, ESA and JAXA as well as the expertise of the Earth Observation community. © 2021 IEEE.

Cancer Research ; 82(4 SUPPL), 2022.
Article in English | EMBASE | ID: covidwho-1779489


Purpose: In the state of Wisconsin, breast cancer patients from African American (AAs) communities have lower survival rates compared to their Caucasian counterparts. Multiple inequities related to sociodemographic factors, delays in diagnosis, advanced disease stage at presentation and presence of comorbidities including higher body mass index (BMI) contribute to these disparities, many of which have only widened during the COVID-19 pandemic. This study examined specific factors related to prolonged hospital length of stay (LOS) for breast cancer patients admitted to inpatient units during the pandemic. Methods: This analysis includes initial CY20 LOS medical record data for hospitalized patients 18 years and older with a diagnosis of breast cancer from 1/1/2020-12/31/2020. Supplemental data included disease registry and diagnostic data, and SES data determined by patient zip code. Poisson regression models with robust standard errors were used to compare the LOS index (LOSi) between groups of patients based on race, SES group, primary payer, and BMI. Results: A total of 272 patients with breast cancer that were admitted to inpatient oncology units were identified. Demographics included White (72.4%), Black (22.4%), and others (5.1%). Other characteristics included: low SES (8.8%), medium-low (9.5%), medium (15.4%), medium-high (11.0%), high SES (4.4%), and others (non-SMilwaukee county) (50.7%), Medicaid (8.8%), Medicare (61.3%), Managed care (29.0%), and others (0.73%). Body mass varied among the patients;underweight (0.36%), overweight (30.8%), obese (41.5%). There were significant differences in LOSi: Black (LOSi=1.24, p=0.01), medium-low SES (LOSi=1.46, p=0.02), Medicaid (LOSi=1.40, p=0.00), underweight (LOSi=1.66, p=0.00), and overweight (LOSi=1.23, p = 0.01) patients had slightly longer LOSi, with LOSi ratio above 1. Conclusion: This study shows how patient-specific factors such as race, SES, primary payer, and BMI contribute to inpatient LOS for breast cancer patients. Healthcare systems may benefit by addressing indicators and patients' factors to reduce hospital LOS, and ultimately healthcare costs.