Improving prediction of future Mycoplasma pneumoniae epidemics using data-driven transmission models.
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| Title: | Improving prediction of future Mycoplasma pneumoniae epidemics using data-driven transmission models. |
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| Authors: | Zhang XS; Modelling Division, Analysis and Intelligence Assessment Chief Data Officer Group, UK Health Security Agency, London, UK., Sidorov S; Division of Infectious Diseases and Hospital Epidemiology, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich 8008, Switzerland., Dalrymple U; Modelling Division, Analysis and Intelligence Assessment Chief Data Officer Group, UK Health Security Agency, London, UK., Emborg HD; Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark., Uldum SA; Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark., Beeton ML; Microbiology and Infection Research Group, Department of Biomedical Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom., Meyer Sauteur PM; Division of Infectious Diseases and Hospital Epidemiology, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich 8008, Switzerland. Electronic address: patrick.meyersauteur@kispi.uzh.ch. |
| Corporate Authors: | European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Mycoplasma and Chlamydia Infections (ESGMAC) and the ESGMAC Mycoplasma pneumoniae Surveillance (MAPS) Study Group |
| Source: | The Lancet. Microbe [Lancet Microbe] 2026 Jul; Vol. 7 (7), pp. 101429. Date of Electronic Publication: 2026 May 26. |
| Publication Type: | Letter |
| Journal Info: | Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101769019 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2666-5247 (Electronic) Linking ISSN: 26665247 NLM ISO Abbreviation: Lancet Microbe Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42190669 AccessLevel: 2 PubType: Editorial & Opinion PubTypeId: editorialOpinion PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Improving prediction of future Mycoplasma pneumoniae epidemics using data-driven transmission models. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhang+XS%22">Zhang XS</searchLink>; Modelling Division, Analysis and Intelligence Assessment Chief Data Officer Group, UK Health Security Agency, London, UK.<br /><searchLink fieldCode="AU" term="%22Sidorov+S%22">Sidorov S</searchLink>; Division of Infectious Diseases and Hospital Epidemiology, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich 8008, Switzerland.<br /><searchLink fieldCode="AU" term="%22Dalrymple+U%22">Dalrymple U</searchLink>; Modelling Division, Analysis and Intelligence Assessment Chief Data Officer Group, UK Health Security Agency, London, UK.<br /><searchLink fieldCode="AU" term="%22Emborg+HD%22">Emborg HD</searchLink>; Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Uldum+SA%22">Uldum SA</searchLink>; Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Beeton+ML%22">Beeton ML</searchLink>; Microbiology and Infection Research Group, Department of Biomedical Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Meyer+Sauteur+PM%22">Meyer Sauteur PM</searchLink>; Division of Infectious Diseases and Hospital Epidemiology, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich 8008, Switzerland. Electronic address: patrick.meyersauteur@kispi.uzh.ch. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22European+Society+of+Clinical+Microbiology+and+Infectious+Diseases+%28ESCMID%29+Study+Group+for+Mycoplasma+and+Chlamydia+Infections+%28ESGMAC%29+and+the+ESGMAC+Mycoplasma+pneumoniae+Surveillance+%28MAPS%29+Study+Group%22">European Society of Clinical Microbiology and Infectious Diseases (ESCMID) Study Group for Mycoplasma and Chlamydia Infections (ESGMAC) and the ESGMAC Mycoplasma pneumoniae Surveillance (MAPS) Study Group</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101769019%22">The Lancet. Microbe</searchLink> [Lancet Microbe] 2026 Jul; Vol. 7 (7), pp. 101429. <i>Date of Electronic Publication: </i>2026 May 26. – Name: TypePub Label: Publication Type Group: TypPub Data: Letter – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101769019 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2666-5247 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226665247%22">26665247 </searchLink><i>NLM ISO Abbreviation: </i>Lancet Microbe <i>Subsets: </i>MEDLINE; In Process |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42190669 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.lanmic.2026.101429 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 101429 Titles: – TitleFull: Improving prediction of future Mycoplasma pneumoniae epidemics using data-driven transmission models. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang XS – PersonEntity: Name: NameFull: Sidorov S – PersonEntity: Name: NameFull: Dalrymple U – PersonEntity: Name: NameFull: Emborg HD – PersonEntity: Name: NameFull: Uldum SA – PersonEntity: Name: NameFull: Beeton ML – PersonEntity: Name: NameFull: Meyer Sauteur PM IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2666-5247 Numbering: – Type: volume Value: 7 – Type: issue Value: 7 Titles: – TitleFull: The Lancet. Microbe Type: main |
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