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Malaria risk stratification in Lao PDR guides program planning in an elimination settingMalaria in Lao People's Democratic Republic (Lao PDR) has declined rapidly over the last two decades, from 279,903 to 3926 (99%) cases between 2001 and 2021. Elimination of human malaria is an achievable goal and limited resources need to be targeted at remaining hotspots of transmission.
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Economic burden of multidrug-resistant tuberculosis on patients and households: a global systematic review and meta-analysisMultidrug-resistant tuberculosis (MDR-TB) is a major health threat worldwide, causing a significant economic burden to patients and their families. Due to the longer duration of treatment and expensive second-line medicine, the economic burden of MDR-TB is assumed to be higher than drug-susceptible TB.
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Updating estimates of Plasmodium knowlesi malaria risk in response to changing land use patterns across Southeast AsiaPlasmodium knowlesi is a zoonotic parasite that causes malaria in humans. The pathogen has a natural host reservoir in certain macaque species and is transmitted to humans via mosquitoes of the Anopheles Leucosphyrus Group. The risk of human P. knowlesi infection varies across Southeast Asia and is dependent upon environmental factors.
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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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Effect of maternal prebiotic supplementation on human milk immunological composition: Insights from the SYMBA studyImmunomodulatory proteins in human milk (HM) can shape infant immune development. However, strategies to modulate their levels are currently unknown. This study investigated whether maternal prebiotic supplementation alters the levels of immunomodulatory proteins in HM.
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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 community-based program to reduce acute rheumatic fever and rheumatic heart disease in northern AustraliaIn Australia’s north, Aboriginal peoples live with world-high rates of rheumatic heart disease (RHD) and its precursor, acute rheumatic fever (ARF); driven by social and environmental determinants of health. We undertook a program of work to strengthen RHD primordial and primary prevention using a model addressing six domains: housing and environmental support, community awareness and empowerment, health literacy, health and education service integration, health navigation and health provider education.
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A simulation study of disaggregation regression for spatial disease mappingDisaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data.