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 |
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