{"id":"https://openalex.org/W4378696751","doi":"https://doi.org/10.52547/hsm.2.1.13","title":"Estimation and prediction of the prevalence rate of COVID-19 disease based on multilayer perceptron artificial neural networks model","display_name":"Estimation and prediction of the prevalence rate of COVID-19 disease based on multilayer perceptron artificial neural networks model","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4378696751","doi":"https://doi.org/10.52547/hsm.2.1.13"},"language":"en","primary_location":{"id":"doi:10.52547/hsm.2.1.13","doi":"https://doi.org/10.52547/hsm.2.1.13","is_oa":true,"landing_page_url":"http://dx.doi.org/10.52547/hsm.2.1.13","pdf_url":"http://hsm.umsu.ac.ir/files/site1/user_files_721aa7/mehdikazempourdizaji-A-10-76-5-8b6fcc5.pdf","source":{"id":"https://openalex.org/S4387289816","display_name":"Health Science Monitor","issn_l":"2980-8723","issn":["2980-8723"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Science Monitor","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W4378696751"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://hsm.umsu.ac.ir/files/site1/user_files_721aa7/mehdikazempourdizaji-A-10-76-5-8b6fcc5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033341099","display_name":"Mehdi Kazempour Dizaji","orcid":"https://orcid.org/0000-0002-6673-9006","observed_orcids":["https://orcid.org/0000-0002-6673-9006"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mehdi Kazempour Dizaji","raw_affiliation_strings":["Department of Biostatistics , National Research Institute of Tuberculosis and Lung Disease (NRITLD) , Shahid Beheshti University of Medical Sciences , Tehran , Iran","Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics , National Research Institute of Tuberculosis and Lung Disease (NRITLD) , Shahid Beheshti University of Medical Sciences , Tehran , Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]},{"raw_affiliation_string":"Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062968313","display_name":"Arda Kiani","orcid":"https://orcid.org/0000-0001-9765-3611","observed_orcids":["https://orcid.org/0000-0001-9765-3611"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arda Kiani","raw_affiliation_strings":["Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047031886","display_name":"Mohammad Varahram","orcid":"https://orcid.org/0000-0002-8033-1867","observed_orcids":["https://orcid.org/0000-0002-8033-1867"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Varahram","raw_affiliation_strings":["Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mycobacteriology Research Center (MRC), National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040301840","display_name":"Atefeh Abedini","orcid":"https://orcid.org/0000-0002-4262-9873","observed_orcids":["https://orcid.org/0000-0002-4262-9873","https://orcid.org/0000-0002-3821-7016"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Atefe Abedini","raw_affiliation_strings":["Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ali Zare","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Zare","raw_affiliation_strings":["Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD) , , Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD) , , Tehran, Iran","institution_ids":["https://openalex.org/I3019658157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018016854","display_name":"Rahim Roozbahani","orcid":"https://orcid.org/0000-0002-6417-9404","observed_orcids":["https://orcid.org/0000-0002-6417-9404"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Rahim Roozbahani","raw_affiliation_strings":["Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004088162","display_name":"Niloufar Alizadeh","orcid":"https://orcid.org/0000-0001-8836-5431","observed_orcids":["https://orcid.org/0000-0001-8836-5431"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Niloufar Alizedeh Kolahdozi","raw_affiliation_strings":["Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD) , Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, National Research Institute of Tuberculosis and Lung Disease (NRITLD) , Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019803898","display_name":"Seyed Alireza Nadji","orcid":"https://orcid.org/0000-0002-8823-384X","observed_orcids":["https://orcid.org/0000-0002-8823-384X"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Syeyd Alireza Nadji","raw_affiliation_strings":["Virology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048234519","display_name":"Mohammad Ali Emamhadi","orcid":"https://orcid.org/0000-0002-6607-7508","observed_orcids":["https://orcid.org/0000-0002-6607-7508"]},"institutions":[{"id":"https://openalex.org/I48379061","display_name":"Shahid Beheshti University","ror":"https://ror.org/0091vmj44","country_code":"IR","type":"education","lineage":["https://openalex.org/I48379061"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Ali Emamhadi","raw_affiliation_strings":["Department Forensic Medicine, School of Medicine Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department Forensic Medicine, School of Medicine Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I48379061","https://openalex.org/I58048189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030455090","display_name":"Majid Marjani","orcid":"https://orcid.org/0000-0003-1466-8645","observed_orcids":["https://orcid.org/0000-0003-1466-8645"]},"institutions":[{"id":"https://openalex.org/I3019658157","display_name":"Masih Daneshvari Hospital","ror":"https://ror.org/039mjhc39","country_code":"IR","type":"healthcare","lineage":["https://openalex.org/I3019658157"]},{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Majid Marjani","raw_affiliation_strings":["Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Disease (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I3019658157","https://openalex.org/I58048189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"1","first_page":"13","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9955999851226807,"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":0.9955999851226807,"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/T13032","display_name":"COVID-19 Prevention and Impact","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10118","display_name":"SARS-CoV-2 and COVID-19 Research","score":0.00039999998989515007,"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/covid-19","display_name":"COVID-19 pandemic","score":0.9909999966621399},{"id":"https://openalex.org/keywords/prevalence-rates","display_name":"prevalence rates","score":0.5759999752044678},{"id":"https://openalex.org/keywords/prevalence-prediction","display_name":"prevalence prediction","score":0.5950000286102295},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9589999914169312},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9879999756813049},{"id":"https://openalex.org/keywords/health-measures","display_name":"health measures","score":0.7149999737739563},{"id":"https://openalex.org/keywords/social-restrictions","display_name":"social restrictions","score":0.996999979019165},{"id":"https://openalex.org/keywords/epidemic-control","display_name":"epidemic control","score":0.5239999890327454},{"id":"https://openalex.org/keywords/covid-19-patients","display_name":"COVID-19 patients","score":0.6380000114440918}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8018926382064819},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6806653141975403},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6676313877105713},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6644675731658936},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6354650259017944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458455681800842},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4991495609283447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42774590849876404},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35321033000946045},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.3378710150718689},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33141571283340454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17967373132705688},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1543745994567871},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1316605508327484},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11286765336990356},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.07323718070983887},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.52547/hsm.2.1.13","doi":"https://doi.org/10.52547/hsm.2.1.13","is_oa":true,"landing_page_url":"http://dx.doi.org/10.52547/hsm.2.1.13","pdf_url":"http://hsm.umsu.ac.ir/files/site1/user_files_721aa7/mehdikazempourdizaji-A-10-76-5-8b6fcc5.pdf","source":{"id":"https://openalex.org/S4387289816","display_name":"Health Science Monitor","issn_l":"2980-8723","issn":["2980-8723"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Science Monitor","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4bc2c3a22cc34d5cb05785af4f9e637d","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/4bc2c3a22cc34d5cb05785af4f9e637d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Health Science Monitor, Vol 2, Iss 1, Pp 13-20 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.52547/hsm.2.1.13","doi":"https://doi.org/10.52547/hsm.2.1.13","is_oa":true,"landing_page_url":"http://dx.doi.org/10.52547/hsm.2.1.13","pdf_url":"http://hsm.umsu.ac.ir/files/site1/user_files_721aa7/mehdikazempourdizaji-A-10-76-5-8b6fcc5.pdf","source":{"id":"https://openalex.org/S4387289816","display_name":"Health Science Monitor","issn_l":"2980-8723","issn":["2980-8723"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Health Science Monitor","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9907000064849854,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323457","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378696751.pdf","grobid_xml":"https://content.openalex.org/works/W4378696751.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2002523926","https://openalex.org/W2030444281","https://openalex.org/W2095404571","https://openalex.org/W2105503412","https://openalex.org/W2999409984","https://openalex.org/W3002539152","https://openalex.org/W3003322996","https://openalex.org/W3004894342","https://openalex.org/W3005409672","https://openalex.org/W3007446911","https://openalex.org/W3007602081","https://openalex.org/W3008028633","https://openalex.org/W3008827533","https://openalex.org/W3012735886","https://openalex.org/W3012925204","https://openalex.org/W3014185271","https://openalex.org/W3015632148","https://openalex.org/W3035011439","https://openalex.org/W4220791825","https://openalex.org/W4388316398","https://openalex.org/W6600210589","https://openalex.org/W7074222748"],"related_works":["https://openalex.org/W3158193595","https://openalex.org/W3123614844","https://openalex.org/W4316494505","https://openalex.org/W3030738016","https://openalex.org/W3133485307","https://openalex.org/W3208475069","https://openalex.org/W3214645357","https://openalex.org/W3149026496","https://openalex.org/W3176878759","https://openalex.org/W3118454707"],"abstract_inverted_index":{"Background":[0],"&":[1,57],"Aims:":[2],"Nowadays,":[3],"with":[4,16,69,153,242],"the":[5,17,23,43,64,79,89,92,98,105,112,117,132,136,139,150,159,165,174,176,191,196,200,207,209,227,235,246,249],"coronavirus":[6],"disease-2019":[7],"(COVID-19)":[8],"pandemic,":[9],"millions":[10],"of":[11,35,66,82,91,100,114,119,125,138,156,183,193,211,218,229,234,237,248],"people":[12,129,187,201],"have":[13,25],"been":[14,26],"infected":[15],"coronavirus,":[18],"and":[19,30,41,95,141,167,202,232,252],"most":[20],"countries":[21],"in":[22,77,164,190,255],"world":[24],"unable":[27],"to":[28,39,72,111,158,169,195],"treat":[29],"control":[31],"this":[32,36,59,83,101,115,212,238,257],"condition.The":[33],"aim":[34],"study":[37,225],"was":[38,85,108],"estimate":[40],"predict":[42],"COVID-19":[44,70,120,177,230],"prevalence":[45,80,118,178,210,228],"rate":[46,81],"based":[47,62,103],"on":[48,63,104,149,226],"multilayer":[49],"perceptron":[50],"artificial":[51],"neural":[52],"network":[53],"(MLP-ANN)":[54],"model.":[55],"Materials":[56],"Methods:In":[58],"cross-sectional":[60],"study,":[61,116],"information":[65,244],"4,372":[67],"patients":[68],"referred":[71],"Dr.":[73],"Masih":[74],"Daneshvari":[75],"Hospital":[76],"Tehran,":[78],"disease":[84,213,231],"estimated.In":[86],"addition,":[87],"considering":[88],"role":[90,247],"health":[93,160,197,250],"measures":[94,161,198,251],"social":[96,171,204,253],"restrictions,":[97],"trend":[99,236],"index":[102,239],"MLP-ANN":[106,151],"model":[107,152],"predicted.Results:":[109],"According":[110],"results":[113],"increased":[121,179],"by":[122,162,173,180,199,206,215],"an":[123,181,216],"average":[124,182,217],"7.05":[126],"per":[127,146,185,188,220],"thousand":[128,147,186,221],"daily":[130],"during":[131],"48":[133],"days":[134],"from":[135],"onset":[137],"epidemic,":[140],"it":[142],"reached":[143],"about":[144,245],"341.96":[145],"people.Based":[148],"a":[154],"lack":[155],"attention":[157,194],"individuals":[163],"community":[166],"failure":[168],"reduce":[170],"restrictions":[172,205,254],"government,":[175],"1.03":[184],"day.While":[189],"case":[192],"continued":[203],"state,":[208],"decreased":[214],"2.13":[219],"people,":[222],"daily.":[223],"Conclusion:The":[224],"prediction":[233],"provides":[240],"researchers":[241],"useful":[243],"controlling":[256],"disease.":[258]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2023-05-30T00:00:00"}