Heterogeneity in transmission parameters of hookworm infection within the baseline data from the TUMIKIA study in Kenya.
Adolescent
Adult
Aged
Aged, 80 and over
Basic Reproduction Number
Child
Child, Preschool
Disease Eradication
Disease Transmission, Infectious
Female
Hookworm Infections
/ epidemiology
Humans
Infant
Infant, Newborn
Kenya
/ epidemiology
Male
Mass Drug Administration
Middle Aged
Models, Statistical
Prevalence
Surveys and Questionnaires
Young Adult
Heterogeneity
Model fitting
Parasite aggregation
Soil-transmitted helminths
Journal
Parasites & vectors
ISSN: 1756-3305
Titre abrégé: Parasit Vectors
Pays: England
ID NLM: 101462774
Informations de publication
Date de publication:
16 Sep 2019
16 Sep 2019
Historique:
received:
08
05
2019
accepted:
26
08
2019
entrez:
17
9
2019
pubmed:
17
9
2019
medline:
18
12
2019
Statut:
epublish
Résumé
As many countries with endemic soil-transmitted helminth (STH) burdens achieve high coverage levels of mass drug administration (MDA) to treat school-aged and pre-school-aged children, understanding the detailed effects of MDA on the epidemiology of STH infections is desirable in formulating future policies for morbidity and/or transmission control. Prevalence and mean intensity of infection are characterized by heterogeneity across a region, leading to uncertainty in the impact of MDA strategies. In this paper, we analyze this heterogeneity in terms of factors that govern the transmission dynamics of the parasite in the host population. Using data from the TUMIKIA study in Kenya (cluster STH prevalence range at baseline: 0-63%), we estimated these parameters and their variability across 120 population clusters in the study region, using a simple parasite transmission model and Gibbs-sampling Monte Carlo Markov chain techniques. We observed great heterogeneity in R Our results show that lower prevalence is associated with higher degrees of aggregation and hence prevalence alone is not a good indicator of transmission intensity. As a consequence, approaches to MDA and monitoring and evaluation of community infection status may need to be adapted as transmission elimination is aimed for by targeted treatment approaches.
Sections du résumé
BACKGROUND
BACKGROUND
As many countries with endemic soil-transmitted helminth (STH) burdens achieve high coverage levels of mass drug administration (MDA) to treat school-aged and pre-school-aged children, understanding the detailed effects of MDA on the epidemiology of STH infections is desirable in formulating future policies for morbidity and/or transmission control. Prevalence and mean intensity of infection are characterized by heterogeneity across a region, leading to uncertainty in the impact of MDA strategies. In this paper, we analyze this heterogeneity in terms of factors that govern the transmission dynamics of the parasite in the host population.
RESULTS
RESULTS
Using data from the TUMIKIA study in Kenya (cluster STH prevalence range at baseline: 0-63%), we estimated these parameters and their variability across 120 population clusters in the study region, using a simple parasite transmission model and Gibbs-sampling Monte Carlo Markov chain techniques. We observed great heterogeneity in R
CONCLUSIONS
CONCLUSIONS
Our results show that lower prevalence is associated with higher degrees of aggregation and hence prevalence alone is not a good indicator of transmission intensity. As a consequence, approaches to MDA and monitoring and evaluation of community infection status may need to be adapted as transmission elimination is aimed for by targeted treatment approaches.
Identifiants
pubmed: 31522687
doi: 10.1186/s13071-019-3686-2
pii: 10.1186/s13071-019-3686-2
pmc: PMC6745791
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
442Subventions
Organisme : Medical Research Council
ID : MR/N00597X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : Bill & Melinda Gates Foundation
ID : OPP1129535
Pays : United States
Organisme : Children's Investment Fund Foundation
ID : R-1701-01771
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