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Clinical relevance of an intervention assessed by a meta-analysis of randomized clinical trials.

Published in Journal of clinical epidemiology

Many meta-analyses usually omit the number needed to treat, or perform the calculation incorrectly, despite its importance in clinical decision-making. Accordingly, we will explain in an easily understandable way how to perform this procedure to assess the clinical relevance of the intervention. The expressions of the Cochrane Library and the conce...

Preparing for a future COVID-19 wave: insights and limitations from a data-driven evaluation of non-pharmaceutical inter...

To contain the COVID-19 pandemic, governments introduced strict Non-Pharmaceutical Interventions (NPI) that restricted movement, public gatherings, national and international travel, and shut down large parts of the economy. Yet, the impact of the enforcement and subsequent loosening of these policies on the spread of COVID-19 is not well understoo...

Spatial heterogeneity can lead to substantial local variations in COVID-19 timing and severity.

Standard epidemiological models for COVID-19 employ variants of compartment (SIR or susceptible-infectious-recovered) models at local scales, implicitly assuming spatially uniform local mixing. Here, we examine the effect of employing more geographically detailed diffusion models based on known spatial features of interpersonal networks, most parti...

Intergenerational resource sharing and mortality in a global perspective.

Resource sharing has always been a central component of human sociality. Children require heavy investments in human capital; during working years, help is needed due to illness, disability, or bad luck. While hunter-gatherer elders assisted their descendants, more recently, elderly withdraw from work and require assistance as well. Willingness to ...

Caution Warranted: Using the Institute for Health Metrics and Evaluation Model for Predicting the Course of the COVID-19...

[External Validation of Carbapenem-Resistant Enterobacteriaceae Acquisition Risk Prediction Model in a Medium Sized Hosp...

Published in Journal of Korean Academy of Nursing

This study was aimed to evaluate the external validity of a carbapenem-resistant Enterobacteriaceae (CRE) acquisition risk prediction model (the CREP-model) in a medium-sized hospital. This retrospective cohort study included 613 patients (CRE group: 69, no-CRE group: 544) admitted to the intensive care units of a 453-beds secondary referral genera...

How to interpret clinical outcome data in plastic surgery research and clinical practice.

Published in Journal of plastic, reconstructive & aesthetic surgery : JPRAS

Patient reported outcome measures (PROMs) are increasingly used in clinical and academic plastic surgery, but interpretation of PROMs is not always straightforward. Similarly, other clinical outcome data may also be challenging to interpret. Poor interpretation of data risks drawing incorrect conclusions about a person's health status, or the effec...

Assessing Onchocerciasis Subcriticality from Pre-Intervention Cross-Sectional Surveys.

Elimination of an infectious disease requires subcritical transmission, or a reproductive number less than one, and can be assessed with cross-sectional surveys conducted by neglected tropical disease programs. Here, we assess the distribution of onchocerciasis prevalence taken from surveys across sub-Saharan Africa before the initiation of ivermec...

A novel IDEA: The impact of serial interval on a modified-Incidence Decay and Exponential Adjustment (m-IDEA) model for ...

Published in Infectious Disease Modelling

The SARS-CoV-2 virus causes the disease COVID-19, and has caused high morbidity and mortality worldwide. Empirical models are useful tools to predict future trends of disease progression such as COVID-19 over the near-term. A modified Incidence Decay and Exponential Adjustment (m-IDEA) model was developed to predict the progression of infectious di...