Prefecture numbers are designated as follows: (1) Hokkaido; (2) Saitama; (3) Chiba; (4) Tokyo; (5) Kanagawa; (6) Ishikawa; (7) Aichi; (8) Kyoto; (9) Osaka; (10) Hyogo; (11) Fukuoka. 3.2. COVID-19 mathematical model and BRN 3.2.1. Susceptible-infected-recovered-dead (SIRD)...
A key difference between the historical and live files is that the numbers in the historical files are the final counts at the end of each day, while the live files have figures that may be a partial count released during the day but cannot necessarily be considered the final, end-of-day...
The numbers above branches are bootstrap support values from 100 replications Full size image Pathogenesis One could observe some basic structural similarities in all the three zoonotic HCoV; however, the genome sequence and phenotypic arrangements (length of spikes) differ in each case based on ...
For publications that use the data, please cite the following publication: "Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Inf Dis. 20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1" ...
It is possible that some people might have had COVID-19 but were not tested for it; these people would have been enrolled in the control group and, if present in large numbers, might have biased the results toward the null. Our datasets do not include information on causes of death. ...
improves the targeting of risk communication, sentinel surveillance, and treatments [4]. For example, sex-disaggregated data can reveal important data about the COVID-19 clinical pathway: who is turning up for testing, who is requiring hospitalisation, and who is dying in higher numbers. ...
When comparing the age distributions of mortality, only the comparison between Italy and Spain is significant (p < 0.05 in Wilcoxon rank sum test with Bonferroni correction). On the other hand, the numbers of deaths are quite different (29,525 for Italy, 400 for Japan, 18,818 for ...
Fig. 6 shows the spatial distribution of link speed in the Pre-COVID and COVID model using the MATSim visulation tool, Simunto Via. Clearly, with the “stay-at-home” order, the volume of vehicles on the roads have dropped leading to increased travel speeds. These numbers are readily ...
(retrospective or prospective), total number of patients, sex ratio in each group, age in each group, tocilizumab treatment, clinical outcomes (overall mortality and mechanical ventilation requirement), tocilizumab group positive and negative outcome numbers, control group positive and negative outcomes,...
When reading these numbers, it must be taken into account that smoking in China is much more prevalent among males. Smoking increases the risks of respiratory complications. Death Rate = (number of deaths / number of cases) = probability of dying if infected by the virus (%). The ...