{"doi":"10.1109/mcg.2022.3230444","title":"A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research","abstract":null,"journal":"IEEE Computer Graphics and Applications","year":2023,"id":653077,"datarank":0.26876392038420827,"base_score":1.791759469228055,"endowment":1.791759469228055,"self_citation_contribution":0.26876392038420827,"citation_network_contribution":0.0,"self_endowment_contribution":0.26876392038420827,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1703937,"name":"Honglu Zhou","orcid":"0000-0002-2953-6277","position":1,"is_corresponding":false},{"id":1703938,"name":"Seonghyeon Moon","orcid":null,"position":2,"is_corresponding":false},{"id":599717,"name":"Xun Zhang","orcid":"0000-0003-0790-4291","position":3,"is_corresponding":false},{"id":1703939,"name":"Petros Faloutsos","orcid":"0000-0002-4508-010X","position":4,"is_corresponding":false},{"id":1703940,"name":"Mubbasir Kapadia","orcid":null,"position":5,"is_corresponding":false},{"id":297754,"name":"Muhammad Usman","orcid":"0000-0001-7776-6811","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"A Multiscale Geospatial Dataset and an Interactive Visualization Dashboard for Computational Epidemiology and Open Scientific Research","abstract":"The coronavirus disease (COVID-19) continued to strike as a highly infectious and fast-spreading disease in 2020 and 2021. As the research community actively responded to this pandemic, we saw the release of many COVID-19-related datasets and visualization dashboards. However, existing resources are insufficient to support multiscale and multifaceted modeling or simulation, which is suggested to be important by the computational epidemiology literature. This work presents a curated multiscale geospatial dataset with an interactive visualization dashboard under the context of COVID-19. This open dataset will allow researchers to conduct numerous projects or analyses relating to COVID-19 or simply geospatial-related scientific studies. The interactive visualization platform enables users to visualize the spread of the disease at different scales (e.g., country level to individual neighborhoods), and allows users to interact with the policies enforced at these scales (e.g., the closure of borders and lockdowns) to observe their impacts on the epidemiology.","is_dataset_classified":null,"base_score":1.791759469228055,"endowment":1.791759469228055,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"37022361","pmcid":null,"openalex_id":"https://openalex.org/W4313018808","authors":[],"funders":[{"funder_name":"National Science Foundation","grant_id":"IIS-1703883","title":null},{"funder_name":"National Science Foundation","grant_id":"IIS-1955404","title":null},{"funder_name":"National Science Foundation","grant_id":"IIS-1955365","title":null},{"funder_name":"National Science Foundation","grant_id":"RETTL-2119265","title":null},{"funder_name":"National Science Foundation","grant_id":"EAGER-2122119","title":null},{"funder_name":"U.S. Department of Homeland Security","grant_id":"22STESE00001 01 01","title":null},{"funder_name":"Interdisciplinary Research Center for Intelligent Secure Systems","grant_id":"","title":null},{"funder_name":"King Fahd University of Petroleum and Minerals","grant_id":"","title":null}],"total_grants":8,"fwci":0.5413,"citation_percentile":0.61023781,"influential_citations":0,"citation_trend":[{"year":2023,"count":1},{"year":2025,"count":3},{"year":2026,"count":1}],"oa_status":"closed","license":"https://doi.org/10.15223/policy-029","oa_locations":[{"url":"https://ieeexplore.ieee.org/ielam/38/10035679/9992069-aam.pdf","host_type":"publisher"},{"url":"http://xplorestaging.ieee.org/ielx7/38/10035679/09992069.pdf?arnumber=9992069","host_type":"publisher"},{"url":"https://doi.org/10.1109/mcg.2022.3230444","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/37022361","host_type":"repository"}],"fields_of_study":["COVID-19 epidemiological studies","demographic modeling and climate adaptation","Mental Health Research Topics"],"mesh_terms":["COVID-19","Communicable Disease Control","Communicable Diseases","Humans"],"keywords":["Geospatial analysis","Visualization","Data science","Computer science","Geovisualization","Context (archaeology)","Dashboard","Data visualization","Interactive visualization","Creative visualization","Scientific visualization","Coronavirus disease 2019 (COVID-19)","Information visualization","Infectious disease (medical specialty)","Data mining","Disease","Geography","Cartography","Medicine"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-10T18:20:14.891308Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}