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Explaining biological differences between men and women by gendered mechanisms
Explaining biological differences between men and women by gendered mechanisms
The principal aim of this study was to explore if biological differences between men and women can be explained by gendere...
Dynamics of COVID-19 progression and the long-term influences of measures on pandemic outcomes
Dynamics of COVID-19 progression and the long-term influences of measures on pandemic outcomes
The pandemic progression is a dynamic process, in which measures yield outcomes, and outcomes in turn influence subsequent...
Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
Effect size quantification for interrupted time series analysis: implementation in R and analysis for Covid-19 research
Interrupted time series (ITS) analysis is a time series regression model that aims to evaluate the effect of an interventi...
Epidemiology, clinical and physiological manifestations of dust lung disease in major industrial centers
Epidemiology, clinical and physiological manifestations of dust lung disease in major industrial centers
The present study aims to determine the structure of morbidity in workers contacting industrial aerosols, assess the timel...
Maximizing community participation and engagement: lessons learned over 2 decades of field trials in rural Ghana
Maximizing community participation and engagement: lessons learned over 2 decades of field trials in rural Ghana
Successful implementation of community-based research is dominantly influenced by participation and engagement from the lo...
A simulation study of regression approaches for estimating risk ratios in the presence of multiple confounders
A simulation study of regression approaches for estimating risk ratios in the presence of multiple confounders
Risk ratio is a popular effect measure in epidemiological research. Although previous research has suggested that logistic...
Teaching: confidence, prediction and tolerance intervals in scientific practice: a tutorial on binary variables
Teaching: confidence, prediction and tolerance intervals in scientific practice: a tutorial on binary variables
One of the emerging themes in epidemiology is the use of interval estimates. Currently, three interval estimates for confi...
Going digital: added value of electronic data collection in 2018 Afghanistan Health Survey
Going digital: added value of electronic data collection in 2018 Afghanistan Health Survey
Through a nationally representative household survey in Afghanistan, we conducted an operational study in two relatively s...
RSV: perspectives to strengthen the need for protection in all infants
RSV: perspectives to strengthen the need for protection in all infants
Respiratory syncytial virus (RSV)—the most common viral cause of bronchiolitis—is a significant cause of serio...
Situating agent-based modelling in population health research
Situating agent-based modelling in population health research
Today’s most troublesome population health challenges are often driven by social and environmental determinants, whi...
Whatever can go wrong, need not go wrong: Open Quality approach for epidemiology
Whatever can go wrong, need not go wrong: Open Quality approach for epidemiology
Quality assurance is one of the most important aspects of an epidemiological study, as its validity is largely determined ...
Women’s voices on social media: the advent of feminist epidemiology?
Women’s voices on social media: the advent of feminist epidemiology?
Social media have in recent years challenged the way in which research questions are formulated in epidemiology and medici...