- #Cut down picture image size of stata output in ms word 2011 for mac pdf#
- #Cut down picture image size of stata output in ms word 2011 for mac professional#
The DVI WADI indicated high vulnerability in urban centers and in areas with plantations and forests. The DVI BWM was only developed for Laos because of lack of data in Thailand and was significantly associated with dengue incidence on average in 14% (0–28%) of Lao districts. The DVI SE was validated in 22% (12–40%) of districts in Laos and in 13% (3–38%) of subdistricts in Thailand. Spatially, DVI WADI was significantly correlated on average in 19% (4–40%) of districts in Laos (mean r = 0.5) and 27% (15–53%) of subdistricts in Thailand (mean r = 0.85). A Pearson’s correlation coefficient (r) larger than 0.5 and a p-value less than 0.05 implied a good spatial and temporal performance. Each DVI was validated by correlating the index score with dengue incidence for each spatial unit (district and subdistrict) over time. Three DVIs were constructed using two objective approaches, Shannon’s Entropy (SE) and the Water-Associated Disease Index (WADI), and one subjective approach, the Best-Worst Method (BWM). An ecohealth framework was used to develop dengue vulnerability indices (DVIs) that explain links between population, social and physical environments, and health to identify exposure, susceptibility, and adaptive capacity indicators. We assessed and mapped dengue vulnerability in selected provinces of Laos and Thailand using multi-criteria decision approaches.
#Cut down picture image size of stata output in ms word 2011 for mac professional#
This review summarises the negative effects of the SARS-CoV-2 coronavirus pandemic on the physical and mental health of professional athletes.ĭengue is a continuous health burden in Laos and Thailand. The mental state of the athletes affected the quality of sleep. Women were more likely to experience negative emotions compared to men. Changes in physical activity had an impact on overall well-being ratings, which depended on the sex of the subjects. The studies showed negative effects of the pandemic: a decrease in overall physical fitness and number of days and hours of training, as well as an increase in the occurrence of negative emotions (stress, fatigue, and depression) and a decrease in sleep quality. The authors of 11 papers assessed the mental state and quality of life of athletes during the pandemic. Ten of the qualified studies determined the impact of the pandemic on the physical activity of athletes. According to the adopted criteria, 14 articles were included in the review. Popular scientific databases-PubMed, Scopus, and Embase-were systematically searched from the beginning of the pandemic until 12 July 2021. The aim of this study was to review current scientific reports assessing the impact of the pandemic on the physical activity, mental state, and quality of life of professional athletes.
#Cut down picture image size of stata output in ms word 2011 for mac pdf#
To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.ĭue to the rapid rate of spread of the SARS-CoV-2 coronavirus, a number of restrictions have been introduced into public spaces, including those related to the operation of sports facilities, compounding the difficulty for athletes to conduct appropriate forms of training. PDF is the official format for papers published in both, html and pdf forms.You may sign up for e-mail alerts to receive table of contents of newly released issues.
Other weather attributes require exploration, as does the impact of COVID-19 variants and government-imposed restrictions. The findings may also be related to changes in activity due to climate. These findings may reflect the time required for SARS-CoV-2 to show up on RTPCR tests. Minimum temperature showed a negative association after one day, but a positive correlation after 21 days. Does climate play a role in the spread of COVID-19? Using Australian case studies from January to October 2020, we found that the maximum and average UVI and solar exposure positively correlate with COVID-19 case numbers after one and 19 days, whereas these factors revealed a negative association after five days.
0 kommentar(er)
