Epidemic data analysisSurvival analysisThe generation interval is the time between the infection time of an infected person and the infection time of his or her infector. Probability density functions for generation intervals have been an important input for epidemic models and epidemic data analysis. ...
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Based on these data, four distinct phases of the COVID-19 epidemic may be identified in China: the Beginning Phase, the Controlled Phase, the Explosive Phase, and the "Living with the Virus" Phase. The strategies, policies and measures used in China to control the epidemic are also ...
Because part of the text is longer, we only retained Weibo with a length of less than 400 Chinese characters as the analysis sample, and obtained 1,858,288 microblog data. The “jieba” package in Python was used to segment Weibo text. We have limited the part of speech of words, ...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
Mobile operators and technology firms are supporting the prevention and control of the epidemic with the help of information technology, according to the ministry. Teams have been set up to complete big data analysis and provide intelligent applications using algorithm models. ...
A big data analysis platform on which individual users can check whether they have taken the same flights, trains or buses with those confirmed or suspected cases has received more than 150 million checks since it was launched on Feb.8. ...
Estimation of the reproduction number of dengue fever from spatial epidemic data Dengue, a vector-borne disease, thrives in tropical and subtropical regions worldwide. A retrospective analysis of the 2002 dengue epidemic in Colima locat... G Chowell,P Diaz-Dueñas,JC Miller,... - 《Mathematica...
Spatial interactions are key determinants in the dynamics of many epidemiological and ecological systems; therefore it is important to use spatio-temporal models to estimate essential parameters. However, spatially-explicit data sets are rarely available; moreover, fitting spatially-explicit models to such...