{"id":"https://openalex.org/W7214935870","doi":"https://doi.org/10.1142/s0218339026500415","title":"IMPACT OF PUBLIC HEALTH INTERVENTIONS ON THE CO-INFECTION DYNAMICS OF COVID-19 WITH TUBERCULOSIS","display_name":"IMPACT OF PUBLIC HEALTH INTERVENTIONS ON THE CO-INFECTION DYNAMICS OF COVID-19 WITH TUBERCULOSIS","publication_year":2026,"publication_date":"2026-09-30","ids":{"openalex":"https://openalex.org/W7214935870","doi":"https://doi.org/10.1142/s0218339026500415"},"language":"en","primary_location":{"id":"doi:10.1142/s0218339026500415","doi":"https://doi.org/10.1142/s0218339026500415","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218339026500415","pdf_url":null,"source":{"id":"https://openalex.org/S39425270","display_name":"Journal of Biological Systems","issn_l":"0218-3390","issn":["0218-3390","1793-6470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biological Systems","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153569899","display_name":"Ravina","orcid":"https://orcid.org/0009-0002-3404-7133","observed_orcids":["https://orcid.org/0009-0002-3404-7133"]},"institutions":[{"id":"https://openalex.org/I4400573290","display_name":"National Institute of Technology Uttarakhand","ror":"https://ror.org/05pet6f20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4400573290"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"RAVINA","raw_affiliation_strings":["Department of Mathematics, National Institute of Technology, Uttarakhand, Srinagar (Garhwal), Uttarakhand 246174, India"],"raw_orcid":"https://orcid.org/0009-0002-3404-7133","affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Institute of Technology, Uttarakhand, Srinagar (Garhwal), Uttarakhand 246174, India","institution_ids":["https://openalex.org/I4400573290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090339776","display_name":"Nitin Sharma","orcid":"https://orcid.org/0000-0001-5422-8869","observed_orcids":["https://orcid.org/0000-0001-5422-8869"]},"institutions":[{"id":"https://openalex.org/I4400573290","display_name":"National Institute of Technology Uttarakhand","ror":"https://ror.org/05pet6f20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4400573290"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"NITIN SHARMA","raw_affiliation_strings":["Department of Mathematics, National Institute of Technology, Uttarakhand, Srinagar (Garhwal), Uttarakhand 246174, India"],"raw_orcid":"https://orcid.org/0000-0001-5422-8869","affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Institute of Technology, Uttarakhand, Srinagar (Garhwal), Uttarakhand 246174, India","institution_ids":["https://openalex.org/I4400573290"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084615211","display_name":"Sunil Singh Negi","orcid":"https://orcid.org/0000-0002-7254-0984","observed_orcids":["https://orcid.org/0000-0002-7254-0984"]},"institutions":[{"id":"https://openalex.org/I2800301432","display_name":"IMS Unison University","ror":"https://ror.org/03efa8j75","country_code":"IN","type":"education","lineage":["https://openalex.org/I2800301432"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"SUNIL SINGH NEGI","raw_affiliation_strings":["IMS Unison University, Uttarakhand 248009, India"],"raw_orcid":"https://orcid.org/0000-0002-7254-0984","affiliations":[{"raw_affiliation_string":"IMS Unison University, Uttarakhand 248009, India","institution_ids":["https://openalex.org/I2800301432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041581824","display_name":"Anupam Priyadarshi","orcid":"https://orcid.org/0009-0000-8761-2939","observed_orcids":["https://orcid.org/0009-0000-8761-2939"]},"institutions":[{"id":"https://openalex.org/I91357014","display_name":"Banaras Hindu University","ror":"https://ror.org/04cdn2797","country_code":"IN","type":"education","lineage":["https://openalex.org/I91357014"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"ANUPAM PRIYADARSHI","raw_affiliation_strings":["Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi 221005, India"],"raw_orcid":"https://orcid.org/0009-0000-8761-2939","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Institute of Science, Banaras Hindu University, Varanasi 221005, India","institution_ids":["https://openalex.org/I91357014"]}]}],"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":false,"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":null,"issue":null,"first_page":"1","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.725600004196167,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T10482","display_name":"Mathematical and Theoretical Epidemiology and Ecology Models","score":0.725600004196167,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.271699994802475,"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/T10038","display_name":"Tuberculosis Research and Epidemiology","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":0.984000027179718},{"id":"https://openalex.org/keywords/tuberculosis","display_name":"tuberculosis","score":1.0},{"id":"https://openalex.org/keywords/coinfection","display_name":"co-infection","score":0.7170000076293945},{"id":"https://openalex.org/keywords/seirs-model","display_name":"SEIRS model","score":0.9200000166893005},{"id":"https://openalex.org/keywords/compartmental-epidemic-model","display_name":"compartmental epidemic model","score":0.8230000138282776},{"id":"https://openalex.org/keywords/public-health-interventions","display_name":"public health interventions","score":0.8960000276565552},{"id":"https://openalex.org/keywords/mask-wearing","display_name":"masking","score":0.8960000276565552},{"id":"https://openalex.org/keywords/social-distancing","display_name":"social distancing","score":1.0},{"id":"https://openalex.org/keywords/public-health-campaigns","display_name":"public health campaigns","score":0.9940000176429749},{"id":"https://openalex.org/keywords/stability-analysis","display_name":"stability analysis","score":0.6830000281333923},{"id":"https://openalex.org/keywords/contact-rate-reduction","display_name":"contact rate reduction","score":0.7649999856948853},{"id":"https://openalex.org/keywords/loss-of-immunity","display_name":"loss of immunity","score":0.5960000157356262},{"id":"https://openalex.org/keywords/model-calibration","display_name":"model calibration","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.7142000198364258},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.7041000127792358},{"id":"https://openalex.org/C2781069245","wikidata":"https://www.wikidata.org/wiki/Q12204","display_name":"Tuberculosis","level":2,"score":0.6902999877929688},{"id":"https://openalex.org/C172656115","wikidata":"https://www.wikidata.org/wiki/Q2142613","display_name":"Social distance","level":5,"score":0.6541000008583069},{"id":"https://openalex.org/C2994107952","wikidata":"https://www.wikidata.org/wiki/Q1814351","display_name":"Public health interventions","level":3,"score":0.5961999893188477},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.5175999999046326},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5102999806404114},{"id":"https://openalex.org/C3020448403","wikidata":"https://www.wikidata.org/wiki/Q5282120","display_name":"Burden of disease","level":3,"score":0.46619999408721924},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44940000772476196},{"id":"https://openalex.org/C46578552","wikidata":"https://www.wikidata.org/wiki/Q2725393","display_name":"Global health","level":3,"score":0.4023999869823456},{"id":"https://openalex.org/C2780664029","wikidata":"https://www.wikidata.org/wiki/Q5282120","display_name":"Disease burden","level":3,"score":0.3919999897480011},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C2992243407","wikidata":"https://www.wikidata.org/wiki/Q525512","display_name":"Disease transmission","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C106192422","wikidata":"https://www.wikidata.org/wiki/Q736798","display_name":"Herd immunity","level":3,"score":0.3328999876976013},{"id":"https://openalex.org/C83864248","wikidata":"https://www.wikidata.org/wiki/Q177323","display_name":"Developing country","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C2909656726","wikidata":"https://www.wikidata.org/wiki/Q1347969","display_name":"Disease Eradication","level":3,"score":0.31060001254081726},{"id":"https://openalex.org/C31957729","wikidata":"https://www.wikidata.org/wiki/Q5282877","display_name":"Distancing","level":5,"score":0.30219998955726624},{"id":"https://openalex.org/C2993273237","wikidata":"https://www.wikidata.org/wiki/Q7551028","display_name":"Social contact","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C113162765","wikidata":"https://www.wikidata.org/wiki/Q1128437","display_name":"Contact tracing","level":5,"score":0.28940001130104065},{"id":"https://openalex.org/C2985496182","wikidata":"https://www.wikidata.org/wiki/Q1773974","display_name":"Disease prevention","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C1627819","wikidata":"https://www.wikidata.org/wiki/Q2572354","display_name":"Epidemic model","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.28600001335144043},{"id":"https://openalex.org/C78491826","wikidata":"https://www.wikidata.org/wiki/Q3045352","display_name":"Social determinants of health","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C107130276","wikidata":"https://www.wikidata.org/wiki/Q133805","display_name":"Epidemiology","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C185618831","wikidata":"https://www.wikidata.org/wiki/Q1851928","display_name":"Health promotion","level":3,"score":0.27469998598098755},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.2630999982357025},{"id":"https://openalex.org/C2987315675","wikidata":"https://www.wikidata.org/wiki/Q1773974","display_name":"Disease control","level":2,"score":0.25369998812675476},{"id":"https://openalex.org/C2776893239","wikidata":"https://www.wikidata.org/wiki/Q1778765","display_name":"Social isolation","level":2,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218339026500415","doi":"https://doi.org/10.1142/s0218339026500415","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218339026500415","pdf_url":null,"source":{"id":"https://openalex.org/S39425270","display_name":"Journal of Biological Systems","issn_l":"0218-3390","issn":["0218-3390","1793-6470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","doyens","jufo-1","norway-1","poland-40","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Biological Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413276160","https://openalex.org/W4398238952","https://openalex.org/W4412825035","https://openalex.org/W7170196342","https://openalex.org/W4317474377","https://openalex.org/W4409476524","https://openalex.org/W4206742054","https://openalex.org/W4224062077","https://openalex.org/W4406017043","https://openalex.org/W4412031650"],"abstract_inverted_index":{"COVID-19":[0,70,135,189],"and":[1,15,20,28,38,43,65,71,85,100,114,140,165,178,185,191,208],"tuberculosis":[2],"(TB)":[3],"co-infection":[4,26,86,107],"presents":[5],"a":[6,45,76],"significant":[7],"public":[8,33,168,217],"health":[9,34,169,218],"challenge":[10],"by":[11,91,104,125],"increasing":[12],"disease":[13,17,81,206],"burden":[14,207],"complicating":[16],"management,":[18],"diagnosis,":[19],"treatment.":[21],"To":[22],"explore":[23],"the":[24,56,80,94,105,145,159,205,213],"COVID-19\u2013TB":[25],"dynamics":[27],"evaluate":[29],"interventions":[30,201],"such":[31],"as":[32],"campaigns,":[35],"mask":[36,183],"wearing,":[37],"social":[39,186],"distancing,":[40],"we":[41],"formulate":[42],"analyze":[44],"novel":[46],"10-compartmental":[47],"deterministic":[48],"SEIRS":[49],"model.":[50,108],"The":[51,88],"model":[52,147],"is":[53,130],"unique":[54],"in":[55,154,174,220],"sense":[57],"that":[58,152,198],"it":[59],"simultaneously":[60],"includes":[61],"separate":[62],"exposed,":[63],"infectious,":[64],"recovered":[66],"classes":[67],"for":[68,212],"TB,":[69],"co-infected":[72],"individuals,":[73],"thus":[74],"providing":[75],"detailed":[77],"description":[78],"of":[79,161,180,215],"progression,":[82],"immunity":[83],"loss,":[84],"routes.":[87],"analysis":[89],"proceeds":[90],"first":[92],"examining":[93],"reduced":[95],"sub-models":[96],"corresponding":[97],"to":[98,143],"COVID-19-only":[99],"TB-only":[101],"dynamics,":[102],"followed":[103],"complete":[106],"For":[109],"each":[110],"case,":[111],"both":[112,162,223],"local":[113],"global":[115],"stability":[116],"properties":[117],"are":[118,171,225],"rigorously":[119],"investigated":[120],"using":[121],"analytical":[122],"techniques":[123],"complemented":[124],"numerical":[126],"verification.":[127],"Model":[128],"calibration":[129],"performed":[131],"against":[132],"cumulative":[133],"weekly":[134],"case":[136],"data":[137],"from":[138],"Brazil":[139],"South":[141],"Africa":[142],"estimate":[144],"best-fit":[146],"parameters.":[148],"Numerical":[149],"simulations":[150],"reveal":[151],"reduction":[153],"contact":[155],"rates":[156],"substantially":[157],"decreases":[158],"prevalence":[160],"single":[163],"infections":[164],"co-infections.":[166,194],"Furthermore,":[167],"campaigns":[170],"particularly":[172],"effective":[173,216],"reducing":[175],"TB":[176],"transmission":[177],"levels":[179],"co-infection,":[181],"whereas":[182],"wearing":[184],"distancing":[187],"suppress":[188],"spread":[190],"its":[192],"associated":[193],"Our":[195],"results":[196],"suggest":[197],"implementing":[199],"disease-specific":[200],"can":[202],"help":[203],"reduce":[204],"offer":[209],"evidence-based":[210],"information":[211],"development":[214],"policies":[219],"areas":[221],"where":[222],"diseases":[224],"endemic.":[226]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-10-01T00:00:00"}