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Lung function changes in children exposed to mine fire smoke in infancyChronic, low-intensity air pollution exposure has been consistently associated with reduced lung function throughout childhood. However, there is limited research regarding the implications of acute, high-intensity air pollution exposure. We aimed to determine whether there were any associations between early life exposure to such an episode and lung growth trajectories.
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Burden of drug-resistant tuberculosis among contacts of index cases: A protocol for a systematic reviewPeople having close contact with drug-resistant tuberculosis (DR-TB) patients are at increased risk of contracting and developing the disease. However, no comprehensive review has been undertaken to estimate the burden of DR-TB among contacts of DR-TB patients. Therefore, the current systematic review will quantify the prevalence and incidence of DR-TB among contacts of DR-TB patients.
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Caregiver burden, mutuality, and family resilience in colorectal cancer caring: A mediating model analysisThis study investigates the interaction between caregiver burden, mutuality, and family resilience in colorectal cancer management, and determines whether mutuality affects the effect of caregiver burden on family resilience.
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Wildfire smoke exposure during pregnancy and perinatal, obstetric, and early childhood health outcomes: A systematic review and meta-analysisMaternal exposure to air pollution during pregnancy is associated with adverse birth outcomes, although less is known for wildfire smoke. This systematic review evaluated the association between maternal exposure to wildfire smoke during pregnancy and the risk of perinatal, obstetric, and early childhood health outcomes.
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Health System Enablers and Barriers to Continuity of Care for First Nations Peoples Living with Chronic DiseaseFailings in providing continuity of care following an acute event for a chronic disease contribute to care inequities for First Nations Peoples in Australia, Canada, and Aotearoa (New Zealand).
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Modeling COVID-19 disease processes by remote elicitation of causal Bayesian networks from medical expertsCOVID-19 is a new multi-organ disease causing considerable worldwide morbidity and mortality. While many recognized pathophysiological mechanisms are involved, their exact causal relationships remain opaque. Better understanding is needed for predicting their progression, targeting therapeutic approaches, and improving patient outcomes. While many mathematical causal models describe COVID-19 epidemiology, none have described its pathophysiology.
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A novel transcriptional signature identifies T-cell infiltration in high-risk paediatric cancerMolecular profiling of the tumour immune microenvironment (TIME) has enabled the rational choice of immunotherapies in some adult cancers. In contrast, the TIME of paediatric cancers is relatively unexplored. We speculated that a more refined appreciation of the TIME in childhood cancers, rather than a reliance on commonly used biomarkers such as tumour mutation burden (TMB), neoantigen load and PD-L1 expression, is an essential prerequisite for improved immunotherapies in childhood solid cancers.
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Experiences and Attitudes of Parents Reducing Carbohydrate Intake in the Management of Their Child’s Type 1 Diabetes: A Qualitative StudyReducing carbohydrate (CHO) intake is being used as an approach to manage type 1 diabetes (T1D) in children. This study aimed to investigate the experiences and attitudes of parents of children with T1D who are reducing CHO intake to help manage blood glucose levels.
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Public stigma toward prolonged grief and COVID-19 bereavement: A vignette-based experimentWe investigated the effects of cause of death and the presence of prolonged grief disorder on eliciting public stigma toward the bereaved.
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An archetypes approach to malaria intervention impact mapping: a new framework and example applicationAs both mechanistic and geospatial malaria modeling methods become more integrated into malaria policy decisions, there is increasing demand for strategies that combine these two methods. This paper introduces a novel archetypes-based methodology for generating high-resolution intervention impact maps based on mechanistic model simulations. An example configuration of the framework is described and explored.