Evidence map›Paper›PMID 39020322›Full record

ArticleBMC medicine2024

Estimating the relative importance of epidemiological and behavioural parameters for epidemic mpox transmission: a modelling study.

Madhav Chaturvedi, Isti Rodiah, Mirjam Kretzschmar, Stefan Scholz, Berit Lange, André Karch, Veronika K Jaeger

Abstract read
In one paragraph

Article in BMC medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Madhav ChaturvediInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Isti RodiahDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
Mirjam KretzschmarDepartment of Epidemiology, University Medical Center Utrecht, Utrecht, the Netherlands.
Stefan ScholzMartin-Luther-University Halle-Wittenberg, Halle, Germany.
Berit LangeDepartment of Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany.
André Karch *Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Veronika K Jaeger *Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany. veronika.jaeger@ukmuenster.de.ORCID 0000-0002-6913-0976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany European countries experienced outbreaks of mpox in 2022, and there was an mpox outbreak in 2023 in the Democratic Republic of Congo. There were many apparent differences between these outbreaks and previous outbreaks of mpox; the recent outbreaks were observed in men who have sex with men after sexual encounters at common events, whereas earlier outbreaks were observed in a wider population with no identifiable link to sexual contacts. These apparent differences meant that data from previous outbreaks could not reliably be used to parametrise infectious disease models during the 2022 and 2023 mpox outbreaks, and modelling efforts were hampered by uncertainty around key transmission and immunity parameters.

methodsWe developed a stochastic, discrete-time metapopulation model for mpox that allowed for sexual and non-sexual transmission and the implementation of non-pharmaceutical interventions, specifically contact tracing and pre- and post-exposure vaccinations. We calibrated the model to case data from Berlin and used Sobol sensitivity analysis to identify parameters that mpox transmission is especially sensitive to. We also briefly analysed the sensitivity of the effectiveness of non-pharmaceutical interventions to various efficacy parameters.

resultsWe found that variance in the transmission probabilities due to both sexual and non-sexual transmission had a large effect on mpox transmission in the model, as did the level of immunity to mpox conferred by a previous smallpox vaccination. Furthermore, variance in the number of pre-exposure vaccinations offered was the dominant contributor to variance in mpox dynamics in men who have sex with men. If pre-exposure vaccinations were not available, both the accuracy and timeliness of contact tracing had a large impact on mpox transmission in the model.

conclusionsOur results are valuable for guiding epidemiological studies for parameter ascertainment and identifying key factors for success of non-pharmaceutical interventions.

Indexed as

Mpox, MonkeypoxContact TracingDemocratic Republic of the CongoDisease OutbreaksEpidemicsFemaleHomosexuality, MaleHumansMaleSexual BehaviorGlobal sensitivity analysisInfectious disease modellingMpox

Identifiers

PMID39020322
PMCPMC11256368

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