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Emily Nightingale

MSc

Research Fellow
in Statistical Modelling

LSHTM
15-17 Tavistock Place
London
WC1H 9SH
United Kingdom

Tel.
+44 (0)20 7612 7896

Following my BSc in Mathematics and Statistics at the University of Bath, I went on to do the MSc in Medical Statistics here at the School. My MSc thesis was in the field of genetic epidemiology, using random forest classification methods to identify the geographical origin of malaria parasites. I then worked as a Lecturer in Medical Statistics at the Wolfson Institute of Preventive Medicine at QMUL, before returing to the School in May 2018 to join the SPEAK India modelling group. 

Affiliations

Faculty of Public Health and Policy
Department of Global Health and Development

Centres

Centre for the Mathematical Modelling of Infectious Diseases (CMMID)
Centre for Statistical Methodology

Research

I am currently developing statistical models to predict disease incidence and outbreak risk of Visceral Leishmaniasis in North-Eastern India, in order to assist elimination efforts.

Research Area
Statistical methods
Surveillance
Spatial analysis
Modelling
Discipline
Epidemiology
Mathematical modelling
Statistics
Disease and Health Conditions
Neglected Tropical Diseases (NTDs)
Vector borne disease
Leishmaniasis

Selected Publications

Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020.
Jit M; Jombart T; Nightingale ES; Endo A; Abbott S; LSHTM Centre for Mathematical Modelling of Infectious Diseases C; Edmunds WJ
2020
EUROSURVEILLANCE
Analysis of temporal trends in potential COVID-19 cases reported through NHS Pathways England
Leclerc Q; Nightingale E; Abbott S; Jombart T; CMMID COVID-19 Working Group
2020
A spatio-temporal approach to short-term prediction of visceral leishmaniasis diagnoses in India.
Nightingale ES; Chapman LAC; Srikantiah S; Subramanian S; Jambulingam P; Bracher J; Cameron MM; Medley GF
2020
PLoS neglected tropical diseases
COVID-19 length of hospital stay: a systematic review and data synthesis
Rees E; Nightingale E; Jafari Y; Waterlow N; Clifford S; Pearson C; Jombert T; Procter S; Knight G; CMMID Working Group
2020
A spatio-temporal approach to short-term forecasting of visceral leishmaniasis diagnoses in India [preprint]
Nightingale E; Chapman L; Srikantiah S; Subramanian S; Purushothaman J; Bracher J; Cameron M; Medley G
2019
Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection
Jombart T; Ghozzi S; Schumacher D; Leclerc Q; Jit M; Flasche S; Greaves F; Ward T; Eggo RM; Nightingale E
See more Publications