RESUMO
COVID-19 pandemic has heavily impacted the global community. To curb the viral transmission, travel restrictions have been enforced across the world. The dataset documents the mobility disruptions and the modal shifts that have occurred as a consequence of the restrictive measures implemented in ten countries: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. An online questionnaire was distributed during the period from the 11st to the 31st of May 2020, with a total of 9 394 respondents. The first part of the survey has characterized the frequency of use of all transport modes before and during the enforcement of the restrictions, while the second part of the survey has dealt with perceived risks of contracting COVID-19 from different transport modes and perceived effectiveness of travel mitigation measures. Overall, the dataset (stored in a repository publicly available) can be conveniently used to quantify and understand the modal shifts and people's cognitive behavior towards travel due to COVID-19. The collected responses can be further analysed by considering other demographic and socioeconomic covariates.
RESUMO
The dataset deals with the air quality perceived by citizens before and during the enforcement of COVID-19 restrictions in ten countries around the world: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. An online survey conveniently translated into Chinese, English, Italian, Norwegian, Persian, Portuguese collected information regarding the perceived quality of air pollution according to a Likert scale. The questionnaire was distributed between 11-05-2020 and 31-05-2020 and 9 394 respondents took part. Both the survey and the dataset (stored in a Microsoft Excel Worksheet) are available in a public repository. The collected data offer the people's subjective perspectives related to the objective improvement in air quality occurred during the COVID-19 restrictions. Furthermore, the dataset can be used for research studies involving the reduction in air pollution as experienced, to a different extent, by populations of all the ten countries.
RESUMO
To gain insight into the origin, evolution, dissemination and viral factors affecting HTLV-1-associated diseases, knowing the complete viral genome sequences is important. So far, no full-length HTLV-1 genome sequence has been reported from Iran. Here we report the complete nucleotide sequence of HTLV-1 viruses isolated from adult T cell leukemia/lymphoma (ATLL) patients from this region. The genome size of HTLV-1-MhD (Mashhad) was found to be 9036â¯bp and sequence analysis of the LTR region showed that it belongs to cosmopolitan subtype A. Comparing the sequences with isolates from another endemic area (HTLV-1ATK) revealed variations in the U3 region (~3.4%), while there was 99.1% and 97.0% similarity in R and U5 regions, respectively. The nucleotide sequences of HTLV-1 gag, pro and pol genes had a difference of 1.1% compared with HTLV-1 ATK with 16 nucleotides replaced in the gag and 27 in the pol regions. There was no variability in the amino acid sequences in the p24gag, however three residues were different in the p19gag and one in the p15gag. The nucleotide sequence of env showed a divergence of 1.5% compared to ATK with 22-nucleotide variation. The HTLV-1-MhD Tax, p13, p30, and p12 had 99.1, 100, 98.8, and 98%, respectively similarity with the prototype strain. Four amino acid changes were detected in ORF1 and ORF2 products p12 and p30, respectively, while the p13 region showed 100% conservation. The nucleotide identity between the isolates of Mashhad and those isolated from France, Germany, China, Canada and Brazil was 99.1%, 99.2%, 97.9%, 99% and 99.3%, respectively. Four amino acid changes compared with HTLV-1ATK from Japan were detected in ORF1 and ORF2 products p12 and p30, respectively, while the p13 region showed 100% conservation. This data could provide information regarding the evolutionary history, phylogeny, origin of the virus and vaccine design.