Lanre Daodu

Research project: Investigation of causes, risk factors, symptoms and management of Long COVID to optimise prevention and treatment.

Abstract

Globally, Long-COVID has become a new clinical entity in the context of the SAR-CoV2 pandemic. The survivors of the acute viral infection present with a myriad of uncharacterised symptoms, which can last for several weeks to months, causing a substantial burden on the individuals. An estimated 10% -35% of individuals affected with SAR-CoV2 infection suffered persistent symptoms after recovery from the acute viral infection; this estimation could be high above 85% in those hospitalised patients with complicated COVID-19 disease.

There is no consensus on characterising the associated heterogeneous symptoms, aetiologies, risk factors and pathology underlying Long COVID syndrome. The management modalities and treatment regimens are still being debated, and the treatment is being offered symptomatically.

This study will use mixed research methods to define, characterise and stratify the symptoms, possible aetiologies and risk factors in Long-COVID individuals. Also, to determine the most effective management modalities and regimes for Long-COVID-19, develop a framework for patient stratifications based on the risk factors and possible underlying aetiologies and evidence best care guidelines for the Patients. 

Biography

I am a trained medical doctor with more than ten years of working experience in clinical practice and public health interventions. I got my Bachelor of Medicine; Bachelor of Surgery (MBBS) from the University of Benin, Nigeria, in 2011. I did a master's degree in Health Planning and Management at the University of Maiduguri, Nigeria. I did my second master's degree in Public Health at the University of Essex, UK, where I worked on COVID-19 research with a distinction grade using systematic review and meta-analysis to assess the effectiveness of convalescent plasma therapy in treating patients with coronavirus 2019 disease.

I am interested in infectious diseases such as COVID-19, Lassa and Ebola haemorrhagic fevers, mathematical modelling of infectious diseases and using artificial intelligence in predicting and managing infectious disease outbreaks. 

I am a fellow of the Royal Society for Public Health(FRSPH).  

Areas of research interest

  • Severe acute respiratory syndrome coronavirus 2 (SARS-CoV2)
  • Lassa haemorrhagic fever (LHF)
  • Ebola Virus Disease (EVD)
  • Mathematical modelling of infectious diseases
  • Using Artificial Intelligence(AI) in predicting and managing infectious diseases outbreaks

Qualifications

  • Bachelor of Medicine; Bachelor of Surgery(MBBS), University of Benin, Nigeria
  • Masters in Health Planning and Management(MHPM), University of Maiduguri, Nigeria
  • Master of Public Health(MPH), University of Essex, Essex, England

Funding or awards received

  • Kingston University London, Long-COVID, Studentship