<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wang X</submitter><funding>Fundamental Research Funds for the Central Universities</funding><funding>Research Grants Council, University Grants Committee</funding><funding>National Natural Science Foundation of China</funding><pagination>e2021GH000455</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8381858</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>5(8)</volume><pubmed_abstract>The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused more than 150 million cases of infection to date and poses a serious threat to global public health. In this study, global COVID-19 data were used to examine the dynamical variations from the perspectives of immunity and contact of 84 countries across the five climate regions: tropical, arid, temperate, and cold. A new approach named Yi Hua Jie Mu is proposed to obtain the transmission rates based on the COVID-19 data between the countries with the same climate region over the Northern Hemisphere and Southern Hemisphere. Our results suggest that the COVID-19 pandemic will persist over a long period of time or enter into regular circulation in multiple periods of 1-2 years. Moreover, based on the simulated results by the CO</pubmed_abstract><journal>GeoHealth</journal><pubmed_title>Dynamical Variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu.</pubmed_title><pmcid>PMC8381858</pmcid><funding_grant_id>E1190301</funding_grant_id><funding_grant_id>15205119</funding_grant_id><funding_grant_id>GK202003005</funding_grant_id><funding_grant_id>GK202007039</funding_grant_id><funding_grant_id>11771373</funding_grant_id><pubmed_authors>Yin G</pubmed_authors><pubmed_authors>He D</pubmed_authors><pubmed_authors>Li J</pubmed_authors><pubmed_authors>Zhou Q</pubmed_authors><pubmed_authors>Hu Z</pubmed_authors><pubmed_authors>Feng X</pubmed_authors><pubmed_authors>Wang X</pubmed_authors><pubmed_authors>Hu Q</pubmed_authors><pubmed_authors>Teng Z</pubmed_authors><pubmed_authors>Cui Q</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dynamical Variations of the Global COVID-19 Pandemic Based on a SEICR Disease Model: A New Approach of Yi Hua Jie Mu.</name><description>The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused more than 150 million cases of infection to date and poses a serious threat to global public health. In this study, global COVID-19 data were used to examine the dynamical variations from the perspectives of immunity and contact of 84 countries across the five climate regions: tropical, arid, temperate, and cold. A new approach named Yi Hua Jie Mu is proposed to obtain the transmission rates based on the COVID-19 data between the countries with the same climate region over the Northern Hemisphere and Southern Hemisphere. Our results suggest that the COVID-19 pandemic will persist over a long period of time or enter into regular circulation in multiple periods of 1-2 years. Moreover, based on the simulated results by the CO</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Aug</publication><modification>2026-05-08T22:04:17.6Z</modification><creation>2022-02-11T10:04:26.378Z</creation></dates><accession>S-EPMC8381858</accession><cross_references><pubmed>34466763</pubmed><doi>10.1029/2021GH000455</doi></cross_references></HashMap>