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1.
NMR Biomed ; 36(7): e4917, 2023 07.
Article in English | MEDLINE | ID: mdl-36914258

ABSTRACT

PURPOSE: To describe the construction and testing of a portable point-of-care low-field MRI system on site in Africa. METHODS: All of the components to assemble a 50 mT Halbach magnet-based system, together with the necessary tools, were air-freighted from the Netherlands to Uganda. The construction steps included individual magnet sorting, filling of each ring of the magnet assembly, fine-tuning the inter-ring separations of the 23-ring magnet assembly, gradient coil construction, integration of gradient coils and magnet assembly, construction of the portable aluminum trolley and finally testing of the entire system with an open source MR spectrometer. RESULTS: With four instructors and six untrained personnel, the complete project from delivery to first image took approximately 11 days. CONCLUSIONS: An important step in translating scientific developments in the western world from high-income industrialized countries to low- and middle-income countries (LMICs) is to produce technology that can be assembled and ultimately constructed locally. Local assembly and construction are associated with skill development, low costs and jobs. Point-of-care systems have a large potential to increase the accessibility and sustainability of MRI in LMICs, and this work demonstrates that technology and knowledge transfer can be performed relatively seamlessly.


Subject(s)
Magnetic Resonance Imaging , Point-of-Care Systems , Equipment Design , Africa , Magnets
2.
Proc Natl Acad Sci U S A ; 118(28)2021 07 13.
Article in English | MEDLINE | ID: mdl-34187879

ABSTRACT

The coronavirus disease 2019 (COVID-19) pandemic is heterogeneous throughout Africa and threatening millions of lives. Surveillance and short-term modeling forecasts are critical to provide timely information for decisions on control strategies. We created a strategy that helps predict the country-level case occurrences based on cases within or external to a country throughout the entire African continent, parameterized by socioeconomic and geoeconomic variations and the lagged effects of social policy and meteorological history. We observed the effect of the Human Development Index, containment policies, testing capacity, specific humidity, temperature, and landlocked status of countries on the local within-country and external between-country transmission. One-week forecasts of case numbers from the model were driven by the quality of the reported data. Seeking equitable behavioral and social interventions, balanced with coordinated country-specific strategies in infection suppression, should be a continental priority to control the COVID-19 pandemic in Africa.


Subject(s)
COVID-19/epidemiology , COVID-19/transmission , Africa/epidemiology , COVID-19/diagnosis , COVID-19/prevention & control , Forecasting , Humans , Models, Statistical , Public Policy , SARS-CoV-2/isolation & purification , Weather
3.
medRxiv ; 2020 Nov 16.
Article in English | MEDLINE | ID: mdl-33236036

ABSTRACT

The ongoing coronavirus disease 2019 (COVID-19) pandemic is heterogeneous throughout Africa and threatening millions of lives. Surveillance and short-term modeling forecasts are critical to provide timely information for decisions on control strategies. We use a model that explains the evolution of the COVID-19 pandemic over time in the entire African continent, parameterized by socioeconomic and geoeconomic variations and the lagged effects of social policy and meteorological history. We observed the effect of the human development index, containment policies, testing capacity, specific humidity, temperature and landlocked status of countries on the local within-country and external between-country transmission. One week forecasts of case numbers from the model were driven by the quality of the reported data. Seeking equitable behavioral and social interventions, balanced with coordinated country-specific strategies in infection suppression, should be a continental priority to control the COVID-19 pandemic in Africa.

4.
Sci Rep ; 8(1): 3551, 2018 02 23.
Article in English | MEDLINE | ID: mdl-29476058

ABSTRACT

In 2013, the US National Oceanographic and Atmospheric Administration (NOAA) refined the historical rainfall estimates over the African Continent and produced the African Rainfall Climate version 2.0 (ARC2) estimator. ARC2 offers a nearly complete record of daily rainfall estimates since 1983 at 0.1° × 0.1° resolution. Despite short-term anomalies, we identify an overall decrease in average rainfall of about 12% during the past 34 years in Uganda. Spatiotemporally, these decreases are greatest in agricultural regions of central and western Uganda, but similar rainfall decreases are also reflected in the gorilla habitat within the Bwindi Forest in Southwest Uganda. The findings carry significant implications for agriculture production, food security, wildlife habitat, and economic impact at the community and societal level.


Subject(s)
Climate Change , Climate , Forests , Agriculture , Animals , Ecosystem , Food Supply , Gorilla gorilla , Humans , Rain , Uganda
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