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Estimating the undetected infections in the Monkeypox outbreak.
Maruotti, Antonello; Böhning, Dankmar; Rocchetti, Irene; Ciccozzi, Massimo.
Afiliação
  • Maruotti A; Department GEPLI, Libera Università Ss Maria Assunta, Rome, Italy.
  • Böhning D; Southamption Statistical Sciences Research Institute, University of Southampton, Southampton, UK.
  • Rocchetti I; Statistical Office-Consiglio Superiore della Magistratura, Rome, Italy.
  • Ciccozzi M; Department of Medicine, Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Rome, Italy.
J Med Virol ; 95(1): e28099, 2023 01.
Article em En | MEDLINE | ID: mdl-36029120
ABSTRACT
While the number of detected Monkeypox infections are widely available, an understanding of the extent of undetected cases is urgently needed for an effective tackling of its spread. The aim of this study is to estimate the true number of Monkeypox (detected and undetected) infections in most affected countries. The question being asked is How many cases have actually occurred? We propose a lower bound estimator for the true number of Monkeypox cases. The estimator is data-driven and can be easily computed from the cumulative distributions of weekly cases. We focused on the ratio of the total estimated cases to the observed cases on July 31, 2022 The proportion of undetected cases was relevant in all countries, with countries whose estimated true number of infections could be more than three times the observed one. We provided a practical contribution to the understanding of the current Monkeypox wave and reliable estimates on how many undetected cases are going around in several countries, where the epidemic spreads differently.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mpox / Epidemias Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mpox / Epidemias Idioma: En Ano de publicação: 2023 Tipo de documento: Article