Geographical variation in the association of child, maternal and household health interventions with under-five mortality in Burkina Faso (Publications)
BACKGROUND: Over the past 15 years, scaling up of cost effective interventions resulted in a remarkable decline of under-five mortality rates (U5MR) in sub-Saharan Africa. However, the reduction shows
Marginal bone loss one year after implantation: a systematic review of different loading protocols (Publications)
The aim of this study was to analyse the influence of different loading protocols on marginal bone loss (MBL). The outcomes of different implant loading protocols were assessed at 1year after implanta
Bovine leptospirosis in abattoirs in Uganda: molecular detection and risk of exposure among workers (Publications)
Leptospirosis is a zoonotic bacterial disease reported worldwide. In Uganda, seropositivity has been reported in both humans and domesticated animals, including cattle. However, it remains unknown whe
Risk of congenital anomalies near municipal waste incinerators in England and Scotland: retrospective population-based cohort study (Publications)
BACKGROUND: Few studies have investigated congenital anomalies in relation to municipal waste incinerators (MWIs) and results are inconclusive. OBJECTIVES: To conduct a national investigation into the
Whole genome sequencing of<em> Mycobacterium tuberculosis</em>: current standards and open issues (Publications)
Whole genome sequencing (WGS) of Mycobacterium tuberculosis has rapidly progressed from a research tool to a clinical application for the diagnosis and management of tuberculosis and in public health
Health risks for sanitation service workers along a container-based urine collection system and resource recovery value chain (Publications)
Container-based sanitation (CBS) within a comprehensive service system value chain offers a low-cost sanitation option with potential for revenue generation but may increase microbial health risks to
A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and... (Publications)
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiological studies with increasingly sophisticated and complex statistical algorithms beyond ordinary li