Academic Profiles
Emmanuelle Dankwa
Research Fellows

Emmanuelle Dankwa

Postdoctoral Research Fellow

Epidemiology

edankwa@hsph.harvard.edu

Links

Overview

I am an infectious disease epidemiologist and statistician.

My current research concerns the design of mathematical tools (known as models) for understanding the spread of multidrug-resistant tuberculosis (MDR-TB). MDR-TB is TB resistant to (at least) isoniazid and rifampin, the two most potent anti-TB drugs, and is a major global health concern. My work aims to provide evidence for the formulation of control policies against MDR-TB.

I am also involved in efforts, led by the Center for Communicable Disease Dynamics (CCDD), to develop capacity in infectious disease modeling in Africa. To this end, I contribute to the design and delivery of the UGHE (University of Global Health Equity, Rwanda)/Harvard training course in mathematical modeling of infectious disease transmission.

Affiliations: CCDD and the Menzies lab (PI: Dr. Nick Menzies).

DPhil, 06/2022, Statistical Science
University of Oxford, Oxford, United Kingdom

BSc, 07/2017, Mathematics and Statistics
University of Ghana, Accra, Ghana

Professor F.T Sai Prize for Best Female Student in Mathematical Sciences
University of Ghana

Beige Capital Youth Excellence League Award for academic excellence in Statistics
Beige Capital, Ghana

Professor F.T Sai Prize for the Best Graduating Female Student in B.Sc. Mathematics
University of Ghana

Professor F.T Sai Prize for the Best Graduating Female Student in B.Sc. Statistics
University of Ghana

Rhodes Scholarship2018-2021
Rhodes Trust, University of Oxford

Warden’s Discretionary Fund Award
Rhodes Trust

St. Peter’s College Foundation Graduate Award2019-2020
St Peter's College, University of Oxford

Graduate Studentship2021-2022
Department of Statistics, University of Oxford

Warden’s Discretionary Fund Award
Rhodes Trust

Social Justice in Infectious Disease Travel Award
Ecology & Evolution of Infectious Diseases Conference

Bibliography

Characteristics and outcomes of an international cohort of 600?000 hospitalized patients with COVID-19.

Kartsonaki C, Baillie JK, Barrio NG, Baruch J, Beane A, Blumberg L, Bozza F, Broadley T, Burrell A, Carson G, Citarella BW, Dagens A, Dankwa EA, Donnelly CA, Dunning J, Elotmani L, Escher M, Farshait N, Goffard JC, Gonçalves BP, Hall M, Hashmi M, Sim Lim Heng B, Ho A, Jassat W, Pedrera Jiménez M, Laouenan C, Lissauer S, Martin-Loeches I, Mentré F, Merson L, Morton B, Munblit D, Nekliudov NA, Nichol AD, Singh Oinam BC, Ong D, Panda PK, Petrovic M, Pritchard MG, Ramakrishnan N, Ramos GV, Roger C, Sandulescu O, Semple MG, Sharma P, Sigfrid L, Somers EC, Streinu-Cercel A, Taccone F, Vecham PK, Kumar Tirupakuzhi Vijayaraghavan B, Wei J, Wils EJ, Ci Wong X, Horby P, Rojek A, Olliaro PL.

Int J Epidemiol. 2023 Feb 28. PMID: 36850054

Stop COVID Cohort: An Observational Study of 3480 Patients Admitted to the Sechenov University Hospital Network in Moscow City for Suspected Coronavirus Disease 2019 (COVID-19) Infection.

Munblit D, Nekliudov NA, Bugaeva P, Blyuss O, Kislova M, Listovskaya E, Gamirova A, Shikhaleva A, Belyaev V, Timashev P, Warner JO, Comberiati P, Apfelbacher C, Bezrukov E, Politov ME, Yavorovskiy A, Bulanova E, Tsareva N, Avdeev S, Kapustina VA, Pigolkin YI, Dankwa EA, Kartsonaki C, Pritchard MG, Fomin V, Svistunov AA, Butnaru D, Glybochko P.

Clin Infect Dis. 2021 07 01. 73(1):1-11. PMID: 33035307