<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>15</volume><submitter>Simon Merkt</submitter><journal>Nature communications</journal><pagination>3463</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL2504120001</full_dataset_link><repository>biostudies-other</repository><additional_accession>10.1038/s41467-024-47556-2</additional_accession><pubmed_authors>Simon Merkt</pubmed_authors></additional><is_claimable>false</is_claimable><name>Merkt2024 - SEIR based model of SARS-CoV-2 variant spread and cross-immunity in Ethiopia</name><description>Spanning August 2020 to July 2022, this model reconstructs SARS-CoV-2 infection and reinfection dynamics across multiple variants — mainly wildtype, Alpha, Delta, and Omicron BA.4/5. It describes how each variant spread through the population, incorporating cross-immunity between variants. The model is calibrated using seroprevalence data, PCR positivity rates, and variant sequencing, providing insights into how prior infections shaped susceptibility to future waves.</description><dates><release>2025-04-12T00:00:00Z</release><modification>2026-06-03T18:50:21.429Z</modification><creation>2025-07-15T10:03:08.945Z</creation></dates><accession>MODEL2504120001</accession><cross_references><doi>10.1038/s41467-024-47556-2</doi></cross_references></HashMap>