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Call Mathematical Modelling Applied to Health

Complete the following questionnaire for - IC_2021_01_PhD Fellowship in Biomathematics at the Mathematical and Theoretical Biology Group  (149 KB)

In the framework of the BCAM “Mathematical Modelling Applied to Health” strategy, a series of projects in the field will be launched in different areas of Applied Mathematics. The “Mathematical and Theoretical Biology” research line at the BCAM looks for a PhD candidate to work in the project:

“Epidemiological and economic evaluation of public health disease control measures during the COVID-19 pandemic”

In December 2019, a new respiratory syndrome called coronavirus disease 2019 (COVID-19) caused by a new coronavirus (SARS-CoV-2) was identified in China and spread rapidly around the globe. In the Basque Country, an autonomous community in northern Spain with 2.2 milion inhabitants, the first cases of COVID-19 were notified on March 4, 2020. To date, a population screening strategy for tests for COVID-19 has not been articulated. Planning is essential for the utilization of key limited resources, such as diagnostic tests and hospital beds, for example, as mitigation strategies must be able to rotate rapidly as epidemic growth scenarios change.

This project aims to perform an economical evaluation of public health control measures implemented during the COVID-19 pandemic in the Basque Country. By refining the SHARUCD model we will investigate, from a health sector perspective, the impact of the COVID-19 pandemic on clinical outcomes such as infections and mortality, health-related resources such as diagnostic tests, intensive care units admission and quarantine and its costs for the Basque population. The threshold at which interventions are considered cost-effective will be estimated, including the evaluation of vaccine programmes implementation in the following years.

The candidate will work under the supervision of Dr. Aguiar (MTB group at BCAM) in close collaboration with Dr. Javier Mar (Kronikgune, BioDonostia) to work on the refinement of the stochastic SHARUCD framework. The proposed tasks are: - “Clinical outcomes projections and COVID-19-related resources” where we will project clinical outcomes (infections, COVID-19-related mortality, quality-adjusted life years [QALY]) and use of COVID-19-related resources (tests, beds in hospitals and intensive care units (ICU), days of self-isolation) and costs for the Basque population (2.2 million people) over a 180-day horizon. - “Cost-effectiveness of existing public health intervention measures to control respiratory infections” we will calculate incremental cost-effectiveness ratios (ICER: difference in cost divided by difference in quality-adjusted life years [€ / QALY]) from a health sector perspective. The threshold at which interventions are considered cost-effective is a normative value that varies by setting. For the sake of interpretation, we define a strategy as profitable if its ICER is less than the threshold of 25,000 / QALY. - Cost-effectiveness analysis for combined vaccination programmes” we will, from a health sector perspective, consider the cost-effectiveness of COVID-19 and Influenza vaccination programmes implementation in the following years.

This is a cutting-edge PhD project that ideally matches with outstanding and creative candidates, with a strong motivation for international collaborations, mobility, and independence.
The candidate will have to work on the project full-time.

Deadline: 26th February 2021, 14:00 CET (UTC+1) .

Applications will be evaluated in a continuous manner, with a response period no longer than 4 weeks after the call deadline.

Contact: recruitment@bcamath.org

((required)) Compulsory field.

Call is CLOSED

Eusko Jaurlaritza - Gobierno Vasco ikerbasque - Basque Foundation for Science Bizkaia xede. Bizkaiko Foru Aldundia innobasque - Agencia vasca de la innovación Universidad del PaÃŒs Vasco (UPV/EHU)