olumayowa-kajero image

Dr Olumayowa Kajero

Lecturer in Chemical Engineering


Areas of specialism

Process Modelling and Simulation; Computational Fluid Dynamics (CFD); Mathematical Modelling

My qualifications

PhD, Chemical & Process Engineering
University of Surrey
MSc, Chemical Engineering
University of Lagos
BTech, Chemical Engineering
Ladoke Akintola University of Technology

Previous roles

Tutor, Department of Chemical & Process Engineering
University of Surrey
Lecturer, Department of Chemical Engineering
University of Lagos
Lecturer, Mathematics Department
Kaplan International College, London
Lecturer in Mathematics
Farnborough College of Technology, Farnborough
Research Fellow in Mathematical Modelling, 2019 to 2021
School of Veterinary Medicine, University of Surrey
Postdoctoral Research Assistant/Mathematical Modeller, 2018
School of Veterinary Medicine, University of Surrey
Research Fellow (Computational Fluid Dynamics), 2016 to 2017
Department of Chemical & Process Engineering, University of Surrey
Process/Project Engineer
UNILAG Consult - University of Lagos Consultancy Services
Process Engineer
Cakasa Company Limited (Fluor Corporation partners)

Affiliations and memberships

Associate Member (AMIChemE) - IChemE, Institution of Chemical Engineers
Professional Member - SPE, Society of Petroleum Engineers
Member – AIChE, American Institute of Chemical Engineers


Research interests




OLUMAYOWA KAJERO, EVA JANOUSKOVA, Emmanuel A Bakare, Vicente Belizario, Billy P Divina, Allen Jethro I Alonte, Sheina Macy P Manalo, Vachel Gay V Paller, MARTHA ELIZABETH BETSON, JOAQUIN PRADA (2022)Co-infection of intestinal helminths in humans and animals in the Philippines, In: Transactions of the Royal Society of Tropical Medicine and Hygiene116(8)pp. 727-735 OUP

Abstract Background A large number of studies have assessed risk factors for infection with soil-transmitted helminths (STH), but few have investigated the interactions between the different parasites or compared these between host species across hosts. Here, we assessed the associations between Ascaris, Trichuris, hookworm, strongyle and Toxocara infections in the Philippines in human and animal hosts. Methods Faecal samples were collected from humans and animals (dogs, cats and pigs) in 252 households from four villages in southern Philippines and intestinal helminth infections were assessed by microscopy. Associations between worm species were assessed using multiple logistic regression. Results Ascaris infections showed a similar prevalence in humans (13.9%) and pigs (13.7%). Hookworm was the most prevalent infection in dogs (48%); the most prevalent infection in pigs was strongyles (42%). The prevalences of hookworm and Toxocara in cats were similar (41%). Statistically significant associations were observed between Ascaris and Trichuris and between Ascaris and hookworm infections in humans, and also between Ascaris and Trichuris infections in pigs. Dual and triple infections were observed, which were more common in dogs, cats and pigs than in humans. Conclusions Associations are likely to exist between STH species in humans and animals, possibly due to shared exposures and transmission routes. Individual factors and behaviours will play a key role in the occurrence of co-infections, which will have effects on disease severity. Moreover, the implications of co-infection for the emergence of zoonoses need to be explored further.

Eva Janoušková, Jessica Clark, Olumayowa Kajero, Sergi Alonso, Poppy HL Lamberton, Martha Betson, Joaquín M Prada (2022)Public Health Policy Pillars for the Sustainable Elimination of Zoonotic Schistosomiasis Preprints
Olumayowa Kajero, Victor Del Rio Vilas, James L. N. Wood, Giovanni Lo Iacono (2019)New methodologies for the estimation of population vulnerability to diseases: a case study of Lassa fever and Ebola in Nigeria and Sierra Leone, In: Philosophical Transactions of the Royal Society B37420180265 Royal Society

Public health practitioners require measures to evaluate how vulnerable populations are to diseases, especially for zoonoses (i.e. diseases transmitted from animals to humans) given their pandemic potential. These measures would be valuable to support strategic and operational decision making and allocation of resources. But, vulnerability is well defined for natural hazards, for public health threats the concept remains undetermined. Here, we developed new methodologies to: (i) quantify the impact of zoonotic diseases and the capacity of countries to cope with these diseases, and (ii) combine these two measures (impact and capacity) into one overall vulnerability indicator. The adaptive capacity is calculated from estimations of disease mortality although the method can be adapted for diseases with no or low mortality but high morbidity. As example, we focused on the vulnerability of Nigeria and Sierra Leone to Lassa Fever and Ebola. We developed a simple analytical form that can be used to estimate vulnerability scores for different spatial units of interest, e.g. countries or regions. We showed how some populations can be highly vulnerable despite low impact threats. We finally outlined future research to more comprehensively inform vulnerability with the incorporation of relevant factors depicting local heterogeneities (e.g. bio-physical and socio-economic factors).

Additional publications