Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review

Hudda, Mohammed T; Archer, Lucinda; Smeden, Maarten van; Moons, Karel G.M.; Collins, Gary S.; Wahlich, Charlotte; Reitsma, Johannes B.; Riley, Richard D; Calster, Ben Van; Wynants, Laure

doi:10.1016/j.jclinepi.2022.12.005

Cited by 3 publications

(2 citation statements)

References 34 publications

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“…Shakeel et al [42] present a systematic literature review with results that are vital both for healthcare managers and for prediction model developers to face COVID-19 pandemic. Hudda et al [123] show a systematic review of COVID-19 prediction models based on preprint and peer-reviewed published manuscripts, in order to assess the percentage of adherence between prediction and effective data. Instead, Zhang et al [124] systematically examine, in COVID-19 research, the application of three simulation approaches given by a system dynamics model, agent-based model and discrete event simulation, and their hybrids.…”

Section: Discussion and Policy Implications For Preventing Pandemic T...mentioning

confidence: 99%

Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency

Coccia

2023

AIMSPH

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<abstract> <p>Scholars and experts argue that future pandemics and/or epidemics are inevitable events, and the problem is not whether they will occur, but when a new health emergency will emerge. In this uncertain scenario, one of the most important questions is an accurate prevention, preparedness and prediction for the next pandemic. The main goal of this study is twofold: first, the clarification of sources and factors that may trigger pandemic threats; second, the examination of prediction models of on-going pandemics, showing pros and cons. Results, based on in-depth systematic review, show the vital role of environmental factors in the spread of Coronavirus Disease 2019 (COVID-19), and many limitations of the epidemiologic models of prediction because of the complex interactions between the new viral agent SARS-CoV-2, environment and society that have generated variants and sub-variants with rapid transmission. The insights here are, whenever possible, to clarify these aspects associated with public health in order to provide lessons learned of health policy that may reduce risks of emergence and diffusion of new pandemics having negative societal impact.</p> </abstract>

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Section: Discussion and Policy Implications For Preventing Pandemic T...mentioning

confidence: 99%

Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency

Coccia

2023

AIMSPH

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“…For over 50 years, problems of incomplete and poor reporting of research have been widely documented across health and medical research 1–3. Unusable research reports contribute to avoidable research waste4 through the inability to appraise and synthesise research and can detrimentally impact patient care through incorrect implementation of research findings 5.…”

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confidence: 99%