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        21-30 of 165 results for 'MAP team\'

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        Punam Amratia

        Honorary Research Associate ...

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        Fanny Lefert

        Front-End Developer ...

        Research

        disaggregation: An R Package for Bayesian Spatial Disaggregation Modeling

        Disaggregation 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. ...

        Research

        Trends in treatment-seeking for fever in children under five years old in 151 countries from 1990 to 2020

        Access to medical treatment for fever is essential to prevent morbidity and mortality in individuals and to prevent transmission of communicable febrile illness in communities. Quantification of the rates at which treatment is accessed is critical for health system planning and a prerequisite for disease burden estimates.  ...

        Research

        Endemic country capacity building and decentralization

        Adam Punam Susan Tolu Saddler Amratia Rumisha Okitika AS PA SR TO PhD PhD PhD (Biostatistics) BSc, MPH, PMP Research Officer Honorary Research ...

        Research

        The global distribution and the risk prediction of relapsing fever group Borrelia: a data review with modelling analysis

        The recent discovery of emerging relapsing fever group Borrelia (RFGB) species, such as Borrelia miyamotoi, poses a growing threat to public health. However, the global distribution and associated risk burden of these species remain uncertain. We aimed to map the diversity, distribution, and potential infection risk of RFGB.  ...

        Research

        Geospatial modelling for malaria risk stratification and intervention targeting for low-endemic countries

        Ewan Mark Punam Susan Tasmin Cameron Connell Amratia Rumisha Symons EC MC PA SR TS BSc PhD MSc PhD PhD (Biostatistics) Director of Malaria Risk ...

        Research

        Malaria risk stratification in Lao PDR guides program planning in an elimination setting

        Malaria 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.  ...

        Research

        Mapping malaria by sharing spatial information between incidence and prevalence data sets

        As malaria incidence decreases and more countries move towards elimination, maps of malaria risk in low-prevalence areas are increasingly needed. For low-burden areas, disaggregation regression models have been developed to estimate risk at high spatial resolution from routine surveillance reports aggregated by administrative unit polygons. ...

        Research

        Fine-scale maps of malaria incidence to inform risk stratification in Laos

        Malaria risk maps are crucial for controlling and eliminating malaria by identifying areas of varying transmission risk. In the Greater Mekong Subregion, these maps guide interventions and resource allocation. This article focuses on analysing changes in malaria transmission and developing fine-scale risk maps using five years of routine surveillance data in Laos (2017-2021). The study employed data from 1160 geolocated health facilities in Laos, along with high-resolution environmental data.  ...

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