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Spatio-temporal monitoring of health facility-level malaria trends in Zambia and adaptive scaling for operational interventionThe spatial and temporal variability inherent in malaria transmission within countries implies that targeted interventions for malaria control in high-burden settings and subnational elimination are a practical necessity. Identifying the spatio-temporal incidence, risk, and trends at different administrative geographies within malaria-endemic countries and monitoring them in near real-time as change occurs is crucial for developing and introducing cost-effective, subnational control and elimination intervention strategies.
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Achieving universal electrification of rural healthcare facilities in sub-Saharan Africa with decentralized renewable energy technologiesA potential response to the COVID-19 pandemic in sub-Saharan Africa (SSA) with long-term benefits is to provide electricity for medical equipment in rural health centers and communities. This study identifies a large gap in the electrification of healthcare facilities in SSA, and it shows that decentralized photovoltaic systems can offer a clean, reliable, quick, and cost-effective solution.
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Socioeconomic, Demographic, and Environmental Factors May Inform Malaria Intervention Prioritization in Urban NigeriaUrban population growth in Nigeria may exceed the availability of affordable housing and basic services, resulting in living conditions conducive to vector breeding and heterogeneous malaria transmission. Understanding the link between community-level factors and urban malaria transmission informs targeted interventions.
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disaggregation: An R Package for Bayesian Spatial Disaggregation ModelingDisaggregation modeling, or downscaling, has become an important discipline in epidemiology. Surveillance data, aggregated over large regions, is becoming more common, leading to an increasing demand for modeling frameworks that can deal with this data to understand spatial patterns.
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Common-sense approaches to sharing tabular data alongside publicationNumerous arguments strongly support the practice of open science, which offers several societal and individual benefits. For individual researchers, sharing research artifacts such as data can increase trust and transparency, improve the reproducibility of one's own work, and catalyze new collaborations.
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Economic and social development along the urban–rural continuum: New opportunities to inform policyThe economic and social development of nations relies on their population having physical access to services and employment opportunities. For the vast majority of the 3.4 billion people living in rural areas, this largely depends on their access to urban centers of different sizes.
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Improving disease surveillance data analysis, interpretation, and use at the district level in TanzaniaAn effective disease surveillance system is critical for early detection and response to disease epidemics. This study aimed to assess the capacity to manage and utilize disease surveillance data and implement an intervention to improve data analysis and use at the district level in Tanzania.
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The overlapping burden of the three leading causes of disability and death in sub-Saharan African childrenDespite substantial declines since 2000, lower respiratory infections (LRIs), diarrhoeal diseases, and malaria remain among the leading causes of nonfatal and fatal disease burden for children under 5 years of age (under 5), primarily in sub-Saharan Africa.
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The Use of Interdisciplinary Approaches to Understand the Biology of Campylobacter jejuniCampylobacter jejuni is a bacterial pathogen recognised as a major cause of foodborne illness worldwide. While Campylobacter jejuni generally does not grow outside its host, it can survive outside of the host long enough to pose a health concern. This review presents an up-to-date description and evaluation of biological, mathematical, and statistical approaches used to understand the behaviour of this foodborne pathogen and suggests future avenues which can be explored.
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Mapping national, regional and local prevalence of hypertension and diabetes in Ethiopia using geospatial analysisThis study aimed to map the national, regional and local prevalence of hypertension and diabetes in Ethiopia.