{"id":"https://openalex.org/W3115878643","doi":"https://doi.org/10.1145/3430984.3431047","title":"Adaptive COVID-19 Forecasting via Bayesian Optimization","display_name":"Adaptive COVID-19 Forecasting via Bayesian Optimization","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3115878643","doi":"https://doi.org/10.1145/3430984.3431047","mag":"3115878643"},"language":"en","primary_location":{"id":"doi:10.1145/3430984.3431047","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3430984.3431047","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3430984.3431047","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3430984.3431047","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061364838","display_name":"Nayana Bannur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nayana Bannur","raw_affiliation_strings":["Wadhwani AI, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wadhwani AI, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069713386","display_name":"Harsh Maheshwari","orcid":"https://orcid.org/0009-0002-9108-0677"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Harsh Maheshwari","raw_affiliation_strings":["Flipkart Internet Pvt Ltd, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flipkart Internet Pvt Ltd, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002832385","display_name":"Sansiddh Jain","orcid":"https://orcid.org/0000-0002-3975-9108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sansiddh Jain","raw_affiliation_strings":["Wadhwani AI, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wadhwani AI, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002545167","display_name":"Shreyas Shetty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shreyas Shetty","raw_affiliation_strings":["Flipkart Internet Pvt Ltd, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flipkart Internet Pvt Ltd, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025202709","display_name":"Srujana Merugu","orcid":"https://orcid.org/0000-0001-7849-9743"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srujana Merugu","raw_affiliation_strings":["Independent, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009586817","display_name":"Alpan Raval","orcid":"https://orcid.org/0000-0002-2689-3594"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alpan Raval","raw_affiliation_strings":["Wadhwani AI, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wadhwani AI, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1053,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.518609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"432","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7046239972114563},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6326747536659241},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5772007703781128},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5657699704170227},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48027515411376953},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.43106886744499207},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4178371727466583},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4131622016429901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41179513931274414},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3269197642803192},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13959428668022156},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11838090419769287},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.07511159777641296}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046239972114563},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6326747536659241},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5772007703781128},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5657699704170227},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48027515411376953},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.43106886744499207},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4178371727466583},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4131622016429901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41179513931274414},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3269197642803192},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13959428668022156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11838090419769287},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.07511159777641296},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3430984.3431047","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3430984.3431047","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3430984.3431047","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3430984.3431047","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3430984.3431047","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3430984.3431047","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science & Management of Data (8th ACM IKDD CODS & 26th COMAD)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3115878643.pdf","grobid_xml":"https://content.openalex.org/works/W3115878643.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2149607218","https://openalex.org/W2161728228","https://openalex.org/W3094295758"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W3106461837","https://openalex.org/W1919390113","https://openalex.org/W4248383205","https://openalex.org/W4313443006","https://openalex.org/W4385452045","https://openalex.org/W4401858220"],"abstract_inverted_index":{"Accurate":[0],"forecasts":[1],"of":[2,72],"infections":[3],"for":[4,9,21,52,95],"localized":[5],"regions":[6],"are":[7],"valuable":[8],"policy":[10],"making":[11],"and":[12,18,28],"medical":[13],"capacity":[14],"planning.":[15],"Existing":[16],"compartmental":[17],"agent-based":[19],"models":[20,78],"epidemiological":[22],"forecasting":[23,82,86],"employ":[24],"static":[25],"parameter":[26],"choices":[27],"cannot":[29],"be":[30],"readily":[31],"contextualized,":[32],"while":[33],"adaptive":[34],"solutions":[35],"focus":[36],"primarily":[37],"on":[38,79,89],"the":[39,70,73],"reproduction":[40],"number.":[41],"The":[42],"current":[43],"work":[44],"proposes":[45],"a":[46,99],"novel":[47],"model-agnostic":[48],"Bayesian":[49],"optimization":[50],"approach":[51],"learning":[53],"model":[54],"parameters":[55],"from":[56],"observed":[57],"data":[58],"that":[59],"generalizes":[60],"to":[61,69],"multiple":[62],"application-specific":[63],"fidelity":[64],"criteria.":[65],"Empirical":[66],"results":[67],"point":[68],"efficacy":[71],"proposed":[74],"method":[75,91],"with":[76],"SEIR-like":[77],"COVID-19":[80,96],"case":[81],"tasks.":[83],"A":[84],"city-level":[85],"system":[87],"based":[88],"this":[90],"is":[92],"being":[93],"used":[94],"response":[97],"in":[98],"few":[100],"impacted":[101],"Indian":[102],"cities.":[103]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}