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144 results for “Lockdowns”
Air pollution 01.2014 - 05.2020 (including COVID-19 lockdown) data from Graz, Austria
<p>Please cite:</p> <p><a href="https://doi.org/10.1016/j.envpol.2020.114587">https://doi.org/10.1016/j.envpol.2020.114587</a></p> <p>Air quality by means of NO2, PM10 and O3 was measured at five sites in Graz, Austria (Süd (<em>eng. South</em>) - S, Nord (<em>eng. North</em>) - N, West (<em>eng. West</em>) - W, Don Bosco – D, Ost (<em>eng. East</em>) – O). In addition weather conditions like temperature, percipitation, relative humidity, pressure, wind speed and direction are added. The authors created binary temporal variables like weekday, month, season, year and day of year (numerical).</p> <p>The data consist of 2343 rows and 53 columns with a timestamp from January 2014 to May 2020 in a daily frequency.</p> <p>More details on measurement and the sites are available in Moser et al. [1] and [2]. The environmental data was provided by the Austrian government under the following license: CC-BY-4.0: Land Steiermark - data.steiermark.gv.at</p> <p>__________________</p> <p>[1] Moser F, Kleb U, Katz H (2019) Statistische Analyse der Luftqualitätin Graz anhand von Feinstaub und Stickstoffdioxid. Graz</p> <p>[2] <a href="https://www.umwelt.steiermark.at/cms/ziel/2060750/DE/">https://www.umwelt.steiermark.at/cms/ziel/2060750/DE/</a></p> <p> </p>
Comparative Study of the Restorative effects of Forest and Urban Videos during Covid-19 Lockdown: Intrinsic and Benchmark Value
<p>Article: "Comparative Study of the Restorative effects of Forest and Urban Videos during Covid-19 Lockdown: Intrinsic and Benchmark Value"</p> <p>Video S1: forest environment </p> <p>Video S2: urban environment</p>
Impact of COVID-19 lockdown on glycemic control in adults with type 1 diabetes mellitus: information and standardized questions regarding follow-up during lockdown
<p>Aim. To examine the impact of the lockdown caused by COVID-19 pandemic on both the glycemic control and the daily habits of a group of patients with type 1 diabetes mellitus (T1DM) using flash continuous glucose monitoring devices (Flash CGM). </p> <p>Methods. Retrospective analysis based on all the information gathered in virtual consultations from a cohort of 50 adult patients with T1DM with follow-up at our site. We compared their CGM metrics during lockdown with their own previous data before the pandemic occurred, as well as the potential psychological and therapeutic changes.</p> <p>Results. We observed a reduction of the average glucose: 160.26 ± 22.55 mg/dl vs. 150 ± 20.96 mg/dl, p=0.0009, estimated HbA1c: 7.21 ± 0.78% vs. 6.83 ± 0.71%, p=000.5, glucose management indicator (GMI) 7.15 ± 0.57 % vs. 6.88 ± 0.49 %, p=0.0003, and glycemic variability (CV): 40.74 ± 6.66 vs. 36.43 ± 6.09 p<0.0001. Time in range showed an improvement: 57.46 ± 11.85% vs a 65.76 ± 12.09%, p<0.0001, without an increase in percentage of time in hypoglycaemia.</p> <p>Conclusions: COVID-19 lockdown was associated with an improvement in glycemic control in patients with T1DM using CGM.</p>
Depression and Stress among Bangladeshi Students during COVID-19 Lockdown
<p>This data was collected during COVID-19 pandemic (lockdown) from Bangladesh. The dataset contains social, financial, educational and other information including "Depression" and "Stress" (DASS-21 Scale) questions form tertiary level students. It was collected via google forms (e-questionnaire). </p>
Spatiotemporal interactions of a novel mesocarnivore community in an urban environment before and during SARS‐CoV‐2 lockdown
<p>1. Studying species interactions and niche segregation under human pressure provides important insights into species adaptation, community functioning and ecosystem stability. Due to their high plasticity in behaviour and diet, urban mesocarnivores are ideal species for studying community assembly in novel communities.</p> <p>2. We analysed the spatial and temporal species interactions of an urban mesocarnivore community composed of the red fox (Vulpes vulpes) and the marten (Martes sp.) as native species, the raccoon (Procyon lotor) as invasive species, and the cat (Felis catus) as a domestic species in combination with human disturbance modulated by the SARS-CoV-2 lockdown effect that happened while the study was conducted.</p> <p>3. We analysed camera-trap data and applied a joint species distribution model to understand not only the environmental variables influencing the detection of mesocarnivores and their use intensity of environmental features but also the species' co-occurrences while accounting for environmental variables. We then assessed whether they displayed temporal niche partitioning based on activity analyses, and finally analysed at a smaller temporal scale the time of delay after the detection of another focal species.</p> <p>4. We found that species were more often detected and displayed a higher use intensity in gardens during the SARS-CoV-2 lockdown period, while showing a shorter temporal delay during the same period, meaning a high human-induced spatio-temporal overlap. All three wild species spatially co-occurred within the urban area, with a positive response of raccoons to cats in detection and use intensity, whereas foxes showed a negative trend towards cats. When assessing the temporal partitioning, we found that all wild species showed overlapping nocturnal activities. All species displayed temporal segregation based on temporal delay. According to the temporal delay analyses, cats were the species avoided the most by all wild species. To conclude, we found that although the wild species were positively associated in space, the avoidance occurred at a smaller temporal scale, and human pressure in addition led to high spatio-temporal overlap.</p> <p>5. Our study sheds light to the complex patterns underlying the interactions in a mesocarnivore community both spatially and temporally, and the exacerbated effect of human pressure on community dynamics.</p>
Data for: Thriving in a pandemic: determinants of excellent wellbeing among New Zealanders during the 2020 COVID-19 lockdown; a cross-sectional survey
<p><strong>Objective:</strong> The COVID-19 pandemic and associated restrictions are associated with adverse psychological impacts but an assessment of positive wellbeing is required to understand the overall impacts of the pandemic.</p> <p><strong>Methods: </strong>The NZ Lockdown Psychological Distress Survey measured excellent wellbeing categorised by a WHO-Five Well-being Index (WHO-5) score ≥22. The survey also contained demographic and pre-lockdown questions, subjective and objective lockdown experiences, and questions on alcohol use. The proportion of participants with excellent wellbeing is reported with multivariate analysis examining the relative importance of individual factors associated with excellent wellbeing.</p> <p><strong>Results:</strong> Approximately 9% of the overall sample reported excellent wellbeing during the New Zealand lockdown. Excellent wellbeing status was associated with older age, male gender, Māori and Asian ethnicity, and lower levels of education. Excellent wellbeing was negatively associated with smoking, poor physical and mental health, and previous trauma.</p> <p><strong>Conclusion:</strong> A substantial minority of New Zealanders reported excellent wellbeing during severe COVID-19 pandemic restrictions. Demographic and broader health factors predicted excellent wellbeing status. An understanding of these factors may help to enhance wellbeing during any future lockdowns.</p>
Dataset related to article: What changed in the Italian internal medicine and geriatric wards during the lockdown
<p>Data in .xlsx format relative to the journal letter</p>
Measurement report: The importance of biomass burning in light extinction and direct radiative effect of urban aerosol during the COVID-19 lockdown in Xi'an, China
<p>To explore the impacts of anthropogenic emissions on aerosol optical properties and direct radiative effect (DRE), a series of real-time measurements was conducted in an urban area of China before and during the lockdown of Coronavirus Disease 2019. The generalized addictive model analysis shows that the light extinction coefficient (<em>b</em><sub>ext</sub>) decreased largely during the lockdown due to the sharp reductions in anthropogenic emissions. Organic aerosol was the largest contributor to <em>b</em><sub>ext</sub> based on the ridge regression analysis. A hybrid environmental receptor model combining with chemical and optical variables shows that <em>b</em><sub>ext</sub> from biomass burning increased in the lockdown due to the undiminished needs of residential cooking and heating in winter. Biomass burning contributed the largest positive effect to aerosol DRE in the atmosphere during the lockdown, highlighting the importance of controlling biomass burning for mitigating climate change in China in the future.</p>
The first COVID-19 related Lockdown Paris Lagrangian model Footprints - Publication dataset
<p>This repository contains the Lagrangian model (LPDM) footprints and concentrations time-series modelled over Paris and the surrounding region of Ile-de-France for the period between March 1 and June 1 of 2019 or the year prior to the first COVID-19 related lockdown, and 2020 the year during which the lockdown occured.</p>
eBird data for: Avian behaviour changes in response to human activity during the COVID-19 lockdown in the United Kingdom
<p>Human activities may impact animal habitat and resource use, potentially influencing contemporary evolution in animals. In the United Kingdom (UK), COVID-19 lockdown restrictions resulted in sudden, drastic alterations to human activity. We hypothesized that short-term daily and long-term seasonal changes in human mobility might result in changes in bird habitat use, depending on the mobility type (home, parks, grocery) and the extent of change. Using Google human mobility data and 872 850 bird observations, we determined that during lockdown, human mobility changes resulted in altered habitat use in 80% (20/25) of our focal bird species. When humans spent more time at home, over half of affected species had lower counts, perhaps resulting from the disturbance of birds in garden habitats. Bird counts of some species (e.g. rooks, gulls) increased over the short-term as humans spent more time parks, possibly due to human-sourced food resources (e.g. picnic refuse), while counts of other species (e.g. tits and sparrows) decreased. All affected species increased counts when humans spent less time at grocery services. Avian species rapidly adjusted to the novel environmental conditions and demonstrated behavioural plasticity, but with diverse responses, reflecting the different interactions and pressures caused by human activity.</p>
Data for: COVID-19 lockdowns cause global air pollution declines
<p>Data in support of published manuscript: <a href="https://www.pnas.org/doi/full/10.1073/pnas.2006853117" rel="nofollow">https://www.pnas.org/doi/full/10.1073/pnas.2006853117</a></p> <p>For details of how the data are used in analysis please refer to the GitHub repository: https://github.com/NINAnor/covid19-air-pollution</p> <p>Authors of the paper acknowledge support from the <span>EU H2020 EXHAUSTION project.</span></p>
Citizen_science_in_lockdown_data_v4.0
<p>The dataset is part of the manuscript "Global impact of the COVID-19 lockdown on biodiversity data collection" by Stephanie Roilo, Ruben Remelgado, Jan O. Engler, and Anna F. Cord, which is currently under revision. Please acknowledge this publication when using the data.<br> </p> <p>### DATA DESCRIPTION ####</p> <p>This zipped folder contains:<br>- the file "Data_249_countries_20230321.csv", which, for each day between January 1st 2019 and October 15th 2022, collates the following data:<br> -- the number of human observations (n_HumObs) per day collected in the Global Biodiversity Information Facility (GBIF) as of March 21st 2023, <br> -- the number of eBird records per day in GBIF (n_CLO) as of March 21st 2023, <br> -- the stringency index from the Oxford COVID-19 Government Response Tracker, <br> -- the change in park visitors and the change in time spent at home from the Google Community Mobility Reports (https://support.google.com/covid19-mobility), <br> -- information on the week day (weekday), week number (weeknr), and year (year),<br> -- the country, or dependent territory, name (Country) and its two-lettered code (country_iso2)<br> for 249 countries or dependent territories according to the ISO 3166 country code list;<br>- 40 files (one per country) named "CLO_XX_March15_May1_2019_2020.csv", which summarise, for each day between March 15th 2019 and May 1st 2019:<br> -- the number of eBird records (n_CLO) collected and stored in the Global Biodiversity Information Facility (GBIF), <br> -- the number of unique observers (n_obsr), <br> -- and the observers' IDs (ID_obsr), <br> for each country or dependent territory separately. These data were downloaded between the 9th and the 30th of January 2024.<br>- the file "Linear_regression_full_dataset_20240904.xlsx", which contains the dataset used in the linear regression explaining the change in GBIF records relative to the stringency index, human mobility variables, and countries' economic class and population size.</p>
Quantifying the contributions of atmospheric processes and meteorology to severe PM2.5 pollution episodes during the COVID-19 lockdown in the Beijing-Tianjin-Hebei, China
<p>Data</p>
Supporting data for: Emissions background, climate, and season determine the impacts of past and future pandemic lockdowns on atmospheric composition and climate
<p>COVID-19 pandemic responses affected atmospheric composition and climate. These effects are historically contingent, depending on the background emissions, climate, and season in which they occur. We used the GISS ModelE Earth System Model to evaluate how atmospheric and climate impacts depend on the decade and season in which lockdowns occurred. Data underlying the figures and analysis are provided as Python numpy arrays as a courtesy for peer reviewers. These data are annual means of diagnostic variables from ModelE.</p>
Housework Reallocation Between Genders and Generations during China's COVID-19 Lockdowns: Patterns & Reasons
<p>Coding summary of interview participants</p>
Impacts of the Covid-19 Epidemic and Associated Lockdown Measures on the Management, Health and Behaviors of Cystic Fibrosis Patients During the 2020 Epidemic
ClinicalTrials.gov study NCT04463628. IPD Sharing: NO. Countries: 1. Publications: 1.
Impact of COVID-19 Lockdown on Obesity and Eating Behaviors
ClinicalTrials.gov study NCT04431284. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Supporting Parents & Kids Through Lockdown Experiences (SPARKLE).
ClinicalTrials.gov study NCT04786080. IPD Sharing: YES. Countries: 1. Publications: 3.
COVID-19 Related Lockdown Effects On Chronic Diseases
ClinicalTrials.gov study NCT04390126. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Age-related Post-lockdown BMI Variations
ClinicalTrials.gov study NCT05430542. IPD Sharing: NO. Countries: 1. Publications: 6.
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