Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation

Gavin Jamie; William Elson; Simon de Lusignan; Debasish Kar; Rashmi Wimalaratna; Uy Hoang; Bernardo Meza-Torres; Anna Forbes; Will Hinton; Sneha Anand; Filipa Ferreira; Jose Ordonez-Mena; Utkarsh Agrawal; Rachel Byford

doi:10.1101/2023.11.21.23298758

Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation

Gavin Jamie
, William Elson
, Simon de Lusignan
, Debasish Kar
, Rashmi Wimalaratna
, Uy Hoang
, Bernardo Meza-Torres
, Anna Forbes
, Will Hinton
, Sneha Anand
, Filipa Ferreira
, Jose Ordonez-Mena
, Utkarsh Agrawal
, Rachel Byford

Peninsula Medical School

University of Oxford

Research output: Working paper / Preprint › Preprint

Original language	English
DOIs	https://doi.org/10.1101/2023.11.21.23298758
Publication status	Published - 22 Nov 2023

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10.1101/2023.11.21.23298758

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Jamie, G., Elson, W., de Lusignan, S., Kar, D., Wimalaratna, R., Hoang, U., Meza-Torres, B., Forbes, A., Hinton, W., Anand, S., Ferreira, F., Ordonez-Mena, J., Agrawal, U., & Byford, R. (2023). Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation. https://doi.org/10.1101/2023.11.21.23298758

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title = "Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation",

author = "Gavin Jamie and William Elson and \{de Lusignan\}, Simon and Debasish Kar and Rashmi Wimalaratna and Uy Hoang and Bernardo Meza-Torres and Anna Forbes and Will Hinton and Sneha Anand and Filipa Ferreira and Jose Ordonez-Mena and Utkarsh Agrawal and Rachel Byford",

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doi = "10.1101/2023.11.21.23298758",

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Jamie, G, Elson, W, de Lusignan, S, Kar, D, Wimalaratna, R, Hoang, U, Meza-Torres, B, Forbes, A, Hinton, W, Anand, S, Ferreira, F, Ordonez-Mena, J, Agrawal, U & Byford, R 2023 'Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation'. https://doi.org/10.1101/2023.11.21.23298758

TY - UNPB

T1 - Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation

AU - Jamie, Gavin

AU - Elson, William

AU - de Lusignan, Simon

AU - Kar, Debasish

AU - Wimalaratna, Rashmi

AU - Hoang, Uy

AU - Meza-Torres, Bernardo

AU - Forbes, Anna

AU - Hinton, Will

AU - Anand, Sneha

AU - Ferreira, Filipa

AU - Ordonez-Mena, Jose

AU - Agrawal, Utkarsh

AU - Byford, Rachel

PY - 2023/11/22

Y1 - 2023/11/22

UR - https://doi.org/10.1101/2023.11.21.23298758

U2 - 10.1101/2023.11.21.23298758

DO - 10.1101/2023.11.21.23298758

M3 - Preprint

BT - Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation

ER -

Phenotype Execution and Modelling Architecture (PhEMA) to support disease surveillance and real-world evidence studies: English sentinel network evaluation

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Phenotype execution and modeling architecture to support disease surveillance and real-world evidence studies: English sentinel network evaluation

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