Decoding mpox: a systematic review and meta-analysis of the transmission and severity parameters of the 2022–2023 global outbreak
Bibliographic record
Abstract
INTRODUCTION: The 2022-2023 mpox outbreak has been the largest in history. We aim to synthesise the key epidemiological parameters related to the dynamics, transmission, and severity of mpox (incubation period, serial interval, generation time, infectious period, basic (R0) and effective (R(t)) reproductive number, and case fatality rate (CFR)). METHODS: Systematic review of observational studies in MEDLINE, EMBASE and other sources up to September 2023 (PROSPERO: CRD42023404503). Quality assessment using the Joanna Briggs Institute Critical Appraisal for case series, cross-sectional and cohort studies, and a designed quality assessment questionnaire for mathematical models. Meta-analysis was performed using a random effects model. RESULTS: For transmissibility parameters, we estimated a pooled incubation period of 7.60 (95% CI 7.14 to 8.10) days and a pooled serial interval of 8.30 (95% CI 6.74 to 10.23) days. One study reported a generation time of 12.5 days (95% CI 7.5 to 17.3). Three studies reported presymptomatic transmission in 27-50% of paired cases investigated. R(t) varied between 1.16 and 3.74 and R0 varied between 0.006 and 7.84. The epidemic peaked between August and September 2022 in Europe and the Americas whereas transmission has continued in African countries. For severity parameters, we estimated a pooled CFR by continent: 0.19% (95% CI 0.09% to 0.37%) for the Americas and 0.33% (95% CI 0.15% to 0.7%) for Europe. For Africa, we found that the CFRs of countries associated with group I were higher (range 17-64%) than those associated with group IIb (range 0-6%). CONCLUSION: Pooled mpox serial interval was slightly larger than pooled incubation period, suggesting transmission occurs mostly postsymptom onset, although presymptomatic transmission can occur in an important proportion of cases. CFR estimates varied by geographical region and were higher in Africa, in countries linked with clade I. Our results contribute to a better understanding of mpox dynamics, and the development of mathematical models to assess the impact of current and future interventions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".