Cargando…
Estimating the undetected infections in the Monkeypox outbreak
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 affect...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087513/ https://www.ncbi.nlm.nih.gov/pubmed/36029120 http://dx.doi.org/10.1002/jmv.28099 |
_version_ | 1785022365188489216 |
---|---|
author | Maruotti, Antonello Böhning, Dankmar Rocchetti, Irene Ciccozzi, Massimo |
author_facet | Maruotti, Antonello Böhning, Dankmar Rocchetti, Irene Ciccozzi, Massimo |
author_sort | Maruotti, Antonello |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10087513 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100875132023-04-12 Estimating the undetected infections in the Monkeypox outbreak Maruotti, Antonello Böhning, Dankmar Rocchetti, Irene Ciccozzi, Massimo J Med Virol Short Communications 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. John Wiley and Sons Inc. 2022-09-06 2023-01 /pmc/articles/PMC10087513/ /pubmed/36029120 http://dx.doi.org/10.1002/jmv.28099 Text en © 2022 The Authors. Journal of Medical Virology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Short Communications Maruotti, Antonello Böhning, Dankmar Rocchetti, Irene Ciccozzi, Massimo Estimating the undetected infections in the Monkeypox outbreak |
title | Estimating the undetected infections in the Monkeypox outbreak |
title_full | Estimating the undetected infections in the Monkeypox outbreak |
title_fullStr | Estimating the undetected infections in the Monkeypox outbreak |
title_full_unstemmed | Estimating the undetected infections in the Monkeypox outbreak |
title_short | Estimating the undetected infections in the Monkeypox outbreak |
title_sort | estimating the undetected infections in the monkeypox outbreak |
topic | Short Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10087513/ https://www.ncbi.nlm.nih.gov/pubmed/36029120 http://dx.doi.org/10.1002/jmv.28099 |
work_keys_str_mv | AT maruottiantonello estimatingtheundetectedinfectionsinthemonkeypoxoutbreak AT bohningdankmar estimatingtheundetectedinfectionsinthemonkeypoxoutbreak AT rocchettiirene estimatingtheundetectedinfectionsinthemonkeypoxoutbreak AT ciccozzimassimo estimatingtheundetectedinfectionsinthemonkeypoxoutbreak |