Imperial College London

ProfessorMaria-GloriaBasanez

Faculty of MedicineSchool of Public Health

Professor of Neglected Tropical Diseases
 
 
 
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Contact

 

+44 (0)20 7594 3295m.basanez Website

 
 
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Location

 

G38Medical SchoolSt Mary's Campus

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Summary

 

Summary

Epidemiology and modelling of indirectly transmitted macroparasites

Motivation: Macroparasites are important causes of morbidity worldwide.  Apart from the direct effects of infection, they may also have immunosuppressive effects that render hosts vulnerable to more lethal pathogens.  Indirectly-transmitted helminth infections are particularly complex.  The lifecycle of these parasites involves more than one host for their transmission; the lifespan of the worms may be long in comparison to that of the hosts, and morbidity is associated with the intensity of infection.  All this poses challenging problems for the development of mathematical frameworks for their population dynamics and the effect on these dynamics of control interventions.

Human onchocerciasis, better known as ‘River blindness’ has been endemic in 34 tropical countries.  Although the Onchocerciasis Control Programme (OCP) in West Africa (1975-2002) has greatly improved the situation in its 11 participating countries, infection by Onchocerca volvulus (the causal agent of River Blindness) still poses an important public health problem in many areas of Africa, Yemen, and Latin America.  In Latin America, the Amazonian focus (between Venezuela and Brazil) has levels of infection prevalence, intensity, and transmission similar to those present in West Africa before the inception of OCP.  Onchocerciasis is one of the Neglected Tropical Diseases (NTDs).  Collectively, the NTDs impose disease burdens similar to those of HIV and Malaria.  The NTDs include the filariases, the schistosomiases, the soil-transmitted helminthiases, the trypanosomiases and leishmaniases, and bacterial infections such as trachoma, among others. 

 

 

Publications

Journals

Tirados I, Thomsen E, Worrall E, et al., 2022, Vector control and entomological capacity for onchocerciasis elimination, Trends in Parasitology, Vol:38, ISSN:0169-4758, Pages:591-604

Ledien J, Cucunubá ZM, Parra-Henao G, et al., 2022, Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease., Plos Negl Trop Dis, Vol:16

Widdicombe J, Basáñez M-G, Entezami M, et al., 2022, The economic evaluation of Cystic echinococcosis control strategies focused on zoonotic hosts: A scoping review., Plos Negl Trop Dis, Vol:16

Poggio TV, Gómez JM, Boado LA, et al., 2022, Immunodiagnosis of cystic echinococcosis in livestock: Development and validation dataset of an ELISA test using a recombinant B8/2 subunit of Echinococcus granulosus sensu lato, Data in Brief, Vol:42, ISSN:2352-3409

Sykes AL, Larrieu E, Poggio TV, et al., 2022, Modelling diagnostics for echinococcus granulosus surveillance in sheep using latent class analysis: Argentina as a case study, One Health, Vol:14, ISSN:2352-7714, Pages:1-7

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