about
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for BrazilExpansion of the dengue transmission area in Brazil: the role of climate and cities.Using structured additive regression models to estimate risk factors of malaria: analysis of 2010 Malawi malaria indicator survey dataEvaluating the performance of a climate-driven mortality model during heat waves and cold spells in Europe.Understanding the relative importance of global dengue risk factors.Relative importance of climatic, geographic and socio-economic determinants of malaria in Malawi.Dengue and the world football cup: a matter of timing.Evaluation of an Early-Warning System for Heat Wave-Related Mortality in Europe: Implications for Sub-seasonal to Seasonal Forecasting and Climate Services.Climate and non-climate drivers of dengue epidemics in southern coastal ecuador.Seasonal forecasting and health impact models: challenges and opportunities.An agent-based model driven by tropical rainfall to understand the spatio-temporal heterogeneity of a chikungunya outbreak.Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts.The development of an early warning system for climate-sensitive disease risk with a focus on dengue epidemics in Southeast Brazil.On the visualization, verification and recalibration of ternary probabilistic forecasts.Climate services to improve public health.The Zika Virus Epidemic in Brazil: From Discovery to Future Implications.Interpretation of probabilistic forecasts of epidemics.Assessing the performance of real-time epidemic forecasts: A case study of the 2013-16 Ebola epidemicClimate services for health: predicting the evolution of the 2016 dengue season in Machala, Ecuador.Nonlinear and delayed impacts of climate on dengue risk in Barbados: A modelling studyQuantifying the added value of climate information in a spatio-temporal dengue modelBarriers to Using Climate Information: Challenges in Communicating Probabilistic Forecasts to Decision-MakersModelling Climate-Sensitive Disease Risk: A Decision Support Tool for Public Health ServicesSpatio-temporal modelling of climate-sensitive disease risk: Towards an early warning system for dengue in BrazilProjecting the end of the Zika virus epidemic in Latin America: a modelling analysisDevelopment, environmental degradation, and disease spread in the Brazilian Amazon.An open challenge to advance probabilistic forecasting for dengue epidemics.Space-time dynamics of a triple epidemic: dengue, chikungunya and Zika clusters in the city of Rio de JaneiroCo-developing climate services for public health: Stakeholder needs and perceptions for the prevention and control of Aedes-transmitted diseases in the CaribbeanEpidemiological, socio-demographic and clinical features of the early phase of the COVID-19 epidemic in Ecuador
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Rachel Lowe
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rachel-lowe1
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