Your browser doesn't support javascript.
loading
A biological model of scabies infection dynamics and treatment informs mass drug administration strategies to increase the likelihood of elimination.
Lydeamore, M J; Campbell, P T; Regan, D G; Tong, S Y C; Andrews, R M; Steer, A C; Romani, L; Kaldor, J M; McVernon, J; McCaw, J M.
Afiliación
  • Lydeamore MJ; School of Mathematics and Statistics, The University of Melbourne, Australia; Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Australia.
  • Campbell PT; Peter Doherty Institute for Infection and Immunity, The Royal Melbourne Hospital and The University of Melbourne, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia; Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Austr
  • Regan DG; Kirby Institute, University of New South Wales, UNSW, Australia.
  • Tong SYC; Peter Doherty Institute for Infection and Immunity, The Royal Melbourne Hospital and The University of Melbourne, Australia; Menzies School of Health Research, Charles Darwin University, Australia.
  • Andrews RM; Menzies School of Health Research, Charles Darwin University, Australia; National Centre for Epidemiology & Population Health, Australian National University, Australia.
  • Steer AC; Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Australia.
  • Romani L; Kirby Institute, University of New South Wales, UNSW, Australia.
  • Kaldor JM; Kirby Institute, University of New South Wales, UNSW, Australia.
  • McVernon J; Peter Doherty Institute for Infection and Immunity, The Royal Melbourne Hospital and The University of Melbourne, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia; Murdoch Childrens Research Institute, The Royal Children's Hospital, Melbourne, Austr
  • McCaw JM; School of Mathematics and Statistics, The University of Melbourne, Australia; Melbourne School of Population and Global Health, The University of Melbourne, Australia; Peter Doherty Institute for Infection and Immunity, The Royal Melbourne Hospital and The University of Melbourne, Australia; Murdoch
Math Biosci ; 309: 163-173, 2019 03.
Article en En | MEDLINE | ID: mdl-30149021
Infections with Sarcoptes scabiei, or scabies, remain common in many disadvantaged populations. Mass drug administration (MDA) has been used in such settings to achieve a rapid reduction in infection and transmission, with the goal of eliminating the public health burden of scabies. While prevalence has been observed to fall substantially following such an intervention, in some instances resurgence of infection to baseline levels has occurred over several years. To explore the biology underpinning this phenomenon, we have developed a theoretical model of scabies life-cycle and transmission dynamics in a homogeneously mixing population, and simulate the impact of mass drug treatment strategies acting on egg and mite life cycle stages (ovicidal) or mites alone (non-ovicidal). In order to investigate the dynamics of the system, we first define and calculate the optimal interval between treatment doses. We calculate the probability of eradication as a function of the number of optimally-timed successive treatment doses and the number of years over which a program is run. For the non-ovicidal intervention, we first show that at least two optimally-timed doses are required to achieve eradication. We then demonstrate that while more doses over a small number of years provides the highest chance of eradication, a similar outcome can be achieved with fewer doses delivered annually over a longer period of time. For the ovicidal intervention, we find that doses should be delivered as close together as possible. This work provides a platform for further research into optimal treatment strategies which may incorporate heterogeneity of transmission, and the interplay between MDA and enhancement of continuing scabies surveillance and treatment strategies.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sarcoptes scabiei / Escabiosis / Modelos Biológicos / Antiparasitarios Tipo de estudio: Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Math Biosci Año: 2019 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sarcoptes scabiei / Escabiosis / Modelos Biológicos / Antiparasitarios Tipo de estudio: Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Math Biosci Año: 2019 Tipo del documento: Article País de afiliación: Australia