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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.
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Global distribution of human hookworm species and differences in their morbidity effects: a systematic reviewThe global distribution and morbidity effects for each specific hookworm species is unknown, which prevents implementation of the optimum intervention for local hookworm control.
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Mapping malaria by sharing spatial information between incidence and prevalence data setsAs 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.
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Improving Influenza Vaccination in Children With Comorbidities: A Systematic ReviewChildren with medical comorbidities are at greater risk for severe influenza and poorer clinical outcomes. Despite recommendations and funding, influenza vaccine coverage remains inadequate in these children. We aimed to systematically review literature assessing interventions targeting influenza vaccine coverage in children with comorbidities and assess the impact on influenza vaccine coverage.
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Risk factors for COVID-19 infection, disease severity and related deaths in Africa: A systematic reviewThe aim of this study was to provide a comprehensive evidence on risk factors for transmission, disease severity and COVID-19 related deaths in Africa. A systematic review has been conducted to synthesise existing evidence on risk factors affecting COVID-19 outcomes across Africa.
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An archetypes approach to malaria intervention impact mapping: a new framework and example applicationAs both mechanistic and geospatial malaria modeling methods become more integrated into malaria policy decisions, there is increasing demand for strategies that combine these two methods. This paper introduces a novel archetypes-based methodology for generating high-resolution intervention impact maps based on mechanistic model simulations. An example configuration of the framework is described and explored.
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Global estimates of the number of pregnancies at risk of malaria from 2007 to 2020: a demographic studyThe most recent global estimates of the number of pregnancies at risk of Plasmodium falciparum and Plasmodium vivax malaria infection are from 2007. To inform global malaria prevention and control efforts, we aimed to estimate the global distribution of pregnancies at risk of malaria infection from 2007 to 2020.
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Sense of Coherence (SOC) of Italian healthcare workers during the COVID-19 pandemic: analysis of associated factorsThe COVID-19 pandemic has posed significant challenges for healthcare workers worldwide, potentially affecting their sense of coherence (SOC) and overall well-being. This study aimed to identify factors associated with different levels of SOC among healthcare workers, exploring demographic characteristics, work-related factors, changes in relationships and social habits, and the overall well-being.
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Effects of zinc and vitamin A supplementation on prognostic markers and treatment outcomes of adults with pulmonary tuberculosis: a systematic review and meta-analysisUndernutrition is a major risk factor for tuberculosis (TB), which is estimated to be responsible for 1.9 million TB cases per year globally. The effectiveness of micronutrient supplementation on TB treatment outcomes and its prognostic markers (sputum conversion, serum zinc, retinol and haemoglobin levels) has been poorly understood.
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Endemic country capacity building and decentralizationAdam Punam Susan Tolu Saddler Amratia Rumisha Okitika PhD PhD PhD (Biostatistics) EMBA, GAICD, PMP, MPH, BSc Research Officer Honorary Research