Evidence map›Paper›PMID 36029120›Full record

ArticleJournal of medical virology2023

Estimating the undetected infections in the Monkeypox outbreak.

Antonello Maruotti, Dankmar Böhning, Irene Rocchetti, Massimo Ciccozzi

Abstract read
In one paragraph

Article in Journal of medical virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Antonello MaruottiDepartment GEPLI, Libera Università Ss Maria Assunta, Rome, Italy.ORCID 0000-0001-8377-9950
Dankmar BöhningSouthamption Statistical Sciences Research Institute, University of Southampton, Southampton, UK.
Irene RocchettiStatistical Office-Consiglio Superiore della Magistratura, Rome, Italy.
Massimo CiccozziDepartment of Medicine, Unit of Medical Statistics and Molecular Epidemiology, University Campus Bio-Medico of Rome, Rome, Italy.ORCID 0000-0003-3866-9239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EpidemicsMpox, MonkeypoxDisease OutbreaksHumansMonkeypox virusasymptomatic casescapture-recapture methodsincidence indicatorsMonkeypox

Identifiers

PMID36029120
PMCPMC10087513

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.