Health

Publications

Lancet

(Inter)nationalising the antibiotic research and development pipeline

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Oct2019 Cooling newsletter

Future of Cooling Newsletter: October 2019

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HEC Forum

Nudging Immunity: The Case for Vaccinating Children in School and Day Care by Default

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201503 Lancet

Emergence of the Asian lineage of Zika virus in Angola: an outbreak investigation

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BMJ

Risks of ischaemic heart disease and stroke in meat eaters, fish eaters, and vegetarians over 18 years of follow-up: results from the prospective EPIC-Oxford study

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Jounral Clinical Microbiology

Metagenomic Next-Generation Sequencing of the 2014 Ebola Virus Disease Outbreak in the Democratic Republic of the Congo

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JAMA Cardiology

Systolic Blood Pressure and Risk of Valvular Heart Disease: A Mendelian Randomization Study

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Lancet

EAT-Lancet score and major health outcomes: the EPIC-Oxford study

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Nature Microbiology

The current and future global distribution and population at risk of dengue

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Scientific reports

Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings

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Nature Microbiology

Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus

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F1000 Research

Reinventing the antimicrobial pipeline in response to the global crisis of antimicrobial-resistant infections

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Nutrition Diabetes 228x300

Vegetarian diets and risk of hospitalisation or death with diabetes in British adults: results from the EPIC-Oxford study

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Environment Planning E Nature Space

Framing the future of food: The contested promises of alternative proteins

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Nature Medicine

Precision epidemiology for infectious disease control

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Lancet

Food in the Anthropocene: the EAT–Lancet Commission on healthy diets from sustainable food systems

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WEF Alternative Proteins

Alternative Proteins

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Social Science and Medicine

Exploring the meaning of pro-vaccine activism across two countries

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Nature Microbiology

Tracking virus outbreaks in the twenty-first century

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PLOS

Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records