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Clostridioides (Clostridium) difficile transmission between community and healthcare settings has been increasingly reported. We aimed to identify the prevalence and molecular epidemiology of C. difficile colonising adolescents and non-hospitalised children in Cambodia.
This systematic review aimed to summarise existing literature on the impacts of armed conflicts on tuberculosis burden and treatment outcomes.
Malaria is a significant public health concern in the Kingdom of Saudi Arabia (KSA). This study aimed to investigate the spatiotemporal distribution of malaria in the KSA between 2017 and 2021.
Tuberculosis (TB) remains a major cause of morbidity and mortality in the world, despite being a preventable and curable disease. The World Health OrganizationEnd-TB Strategy, aligned with the Sustainable Development Goals, sets a target of reducing the TB mortality rate by 95%, TB incidence rate by 90%, and catastrophic costs due to TB by 2035, compared with a 2015 level. To achieve these ambitious targets, several interventions have been implemented in the last few years, resulting in major progress toward reducing the burden of TB.
HIV, tuberculosis (TB) and malaria are the three most important infectious diseases in Ethiopia, and sub-Saharan Africa. Understanding the spatial codistribution of these diseases is critical for designing geographically targeted and integrated disease control programmes. This study investigated the spatial overlap and drivers of HIV, TB and malaria prevalence in Ethiopia.
This study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia.
Understanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.
New research highlights the long-term physical health problems faced by people who survive drug-resistant tuberculosis (TB) .
By mapping land use under projections of socio-economic change, ecological changes can be predicted to inform conservation decision-making. We present a land use model that enables the fine-scale mapping of land use change under future scenarios.
In this report, we present a protocol for a geospatial meta-analysis to investigate the spatial patterns of TB prevalence in Ethiopia