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1.
Emerg Infect Dis ; 20(7): 1199-202, 2014 Jul.
Article in English | MEDLINE | ID: mdl-24963881

ABSTRACT

Resistance to artemisinin derivatives, the most potent antimalarial drugs currently used, has emerged in Southeast Asia and threatens to spread to Africa. We report a case of malaria in a man who returned to Vietnam after 3 years in Angola that did not respond to intravenous artesunate and clindamycin or an oral artemisinin-based combination.


Subject(s)
Antimalarials/therapeutic use , Artemisinins/therapeutic use , Malaria/drug therapy , Angola , Clindamycin/therapeutic use , Drug Therapy, Combination , Humans , Male , Middle Aged , Vietnam
3.
Trans R Soc Trop Med Hyg ; 107(5): 313-8, 2013 May.
Article in English | MEDLINE | ID: mdl-23471919

ABSTRACT

BACKGROUND: A mathematical model based on the Markov methodology to predict the change in prevalence of soil-transmitted helminth (STH) infections during public health control activities is not available, but would be an extremely efficient planning tool. METHOD: We used the parasitological data collected during a deworming and iron supplementation programme for women of child-bearing age conducted in Vietnam between 2006 and 2011 to develop a Markov transition probability model. The transition probabilities were calculated from the observed changes in prevalence in the different classes of intensity for each STH species during the first year of intervention. The model was then developed and used to estimate the prevalence in year 2, 3, 4 and 5 for each STH species and for 'any STH infection'. The prevalence predicted by the model was then compared with the prevalence observed at different times during programme implementation. RESULTS: The comparison between the model-predicted prevalence and the observed prevalence proved a good fit of the model. CONCLUSIONS: We consider the Markov transition probability model to be a promising method of predicting changes in STH prevalence during control efforts. Further research to validate the model with observed data in different geographical and epidemiological settings is suggested to refine the prediction model.


Subject(s)
Helminthiasis/epidemiology , Helminths/parasitology , Soil/parasitology , Adolescent , Adult , Animals , Female , Forecasting , Helminthiasis/parasitology , Helminthiasis/transmission , Humans , Longitudinal Studies , Markov Chains , Middle Aged , Prevalence , Soil Microbiology , Vietnam , Young Adult
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