Efficiently managing agricultural irrigation is vital for food security today and into the future under climate change. Yet, evaluating agriculture's hydrological impacts and strategies to reduce them remains challenging due to a lack of field-scale data on crop water consumption. Here, we develop a method to fill this gap using remote sensing and machine learning, and leverage it to assess water saving strategies in California's Central Valley.
View Article and Find Full Text PDFSchool closures may reduce the size of social networks among children, potentially limiting infectious disease transmission. To estimate the impact of K-12 closures and reopening policies on children's social interactions and COVID-19 incidence in California's Bay Area, we collected data on children's social contacts and assessed implications for transmission using an individual-based model. Elementary and Hispanic children had more contacts during closures than high school and non-Hispanic children, respectively.
View Article and Find Full Text PDFBackground Large-scale school closures have been implemented worldwide to curb the spread of COVID-19. However, the impact of school closures and re-opening on epidemic dynamics remains unclear. Methods We simulated COVID-19 transmission dynamics using an individual-based stochastic model, incorporating social-contact data of school-aged children during shelter-in-place orders derived from Bay Area (California) household surveys.
View Article and Find Full Text PDFAlthough AIDS care is generally improving in French Guiana, disparities among regions and certain key populations remain significant. The purpose of this study was to describe the spatial and clinical characteristics of people living with HIV (PLHIV) in remote areas in comparison to those followed in hospitals on the urban coast of French Guiana. The data presented were obtained from outpatient on primary care centers located in rural regions away from the urban coast.
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