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1.
PLoS Negl Trop Dis ; 15(5): e0009292, 2021 05.
Artigo em Inglês | MEDLINE | ID: mdl-33979325

RESUMO

Malawi has successfully leveraged multiple delivery platforms to scale-up and sustain the implementation of preventive chemotherapy (PCT) for the control of morbidity caused by soil-transmitted helminths (STH). Sentinel monitoring demonstrates this strategy has been successful in reducing STH infection in school-age children, although our understanding of the contemporary epidemiological profile of STH across the broader community remains limited. As part of a multi-site trial evaluating the feasibility of interrupting STH transmission across three countries, this study aimed to describe the baseline demographics and the prevalence, intensity and associated risk factors of STH infection in Mangochi district, southern Malawi. Between October-December 2017, a community census was conducted across the catchment area of seven primary healthcare facilities, enumerating 131,074 individuals across 124 villages. A cross-sectional parasitological survey was then conducted between March-May 2018 in the censused area as a baseline for a cluster randomised trial. An age-stratified random sample of 6,102 individuals were assessed for helminthiasis by Kato-Katz and completed a detailed risk-factor questionnaire. The age-cluster weighted prevalence of any STH infection was 7.8% (95% C.I. 7.0%-8.6%) comprised predominantly of hookworm species and of entirely low-intensity infections. The presence and intensity of infection was significantly higher in men and in adults. Infection was negatively associated with risk factors that included increasing levels of relative household wealth, higher education levels of any adult household member, current school attendance, or recent deworming. In this setting of relatively high coverage of sanitation facilities, there was no association between hookworm and reported access to sanitation, handwashing facilities, or water facilities. These results describe a setting that has reduced the prevalence of STH to a very low level, and confirms many previously recognised risk-factors for infection. Expanding the delivery of anthelmintics to groups where STH infection persist could enable Malawi to move past the objective of elimination of morbidity, and towards the elimination of STH. Trial registration: NCT03014167.


Assuntos
Anti-Helmínticos/uso terapêutico , Controle de Doenças Transmissíveis/métodos , Infecções por Uncinaria/epidemiologia , Infecções por Uncinaria/prevenção & controle , Administração Massiva de Medicamentos/métodos , Adolescente , Adulto , Albendazol/uso terapêutico , Ancylostomatoidea/efeitos dos fármacos , Ancylostomatoidea/isolamento & purificação , Animais , Criança , Pré-Escolar , Estudos Transversais , Hotspot de Doença , Feminino , Infecções por Uncinaria/tratamento farmacológico , Humanos , Lactente , Ivermectina/uso terapêutico , Malaui/epidemiologia , Masculino , Solo/parasitologia , Inquéritos e Questionários
2.
Parasit Vectors ; 14(1): 67, 2021 Jan 20.
Artigo em Inglês | MEDLINE | ID: mdl-33472677

RESUMO

BACKGROUND: The DeWorm3 project is an ongoing cluster-randomised trial assessing the feasibility of interrupting the transmission of soil-transmitted helminths (STH) through mass drug administration (MDA) using study sites in India, Malawi and Benin. In this article, we describe an approach which uses a combination of statistical and mathematical methods to forecast the outcome of the trial with respect to its stated goal of reducing the prevalence of infection to below 2%. METHODS: Our approach is first to define the local patterns of transmission within each study site, which is achieved by statistical inference of key epidemiological parameters using the baseline epidemiological measures of age-related prevalence and intensity of STH infection which have been collected by the DeWorm3 trials team. We use these inferred parameters to calibrate an individual-based stochastic simulation of the trial at the cluster and study site level, which is subsequently run to forecast the future prevalence of STH infections. The simulator takes into account both the uncertainties in parameter estimation and the variability inherent in epidemiological and demographic processes in the simulator. We interpret the forecast results from our simulation with reference to the stated goal of the DeWorm3 trial, to achieve a target of [Formula: see text] prevalence at a point 24 months post-cessation of MDA. RESULTS: Simulated output predicts that the two arms will be distinguishable from each other in all three country sites at the study end point. In India and Malawi, measured prevalence in the intervention arm is below the threshold with a high probability (90% and 95%, respectively), but in Benin the heterogeneity between clusters prevents the arm prevalence from being reduced below the threshold value. At the level of individual study arms within each site, heterogeneity among clusters leads to a very low probability of achieving complete elimination in an intervention arm, yielding a post-study scenario with widespread elimination but a few 'hot spot' areas of persisting STH transmission. CONCLUSIONS: Our results suggest that geographical heterogeneities in transmission intensity and worm aggregation have a large impact on the effect of MDA. It is important to accurately assess cluster-level, or even smaller scale, heterogeneities in factors which influence transmission and aggregation for a clearer perspective on projecting the outcomes of MDA control of STH and other neglected tropical diseases.


Assuntos
Anti-Helmínticos/uso terapêutico , Helmintíase/prevenção & controle , Helmintos/efeitos dos fármacos , Administração Massiva de Medicamentos/normas , Ensaios Clínicos Controlados Aleatórios como Assunto , Solo/parasitologia , Animais , Benin/epidemiologia , Simulação por Computador , Feminino , Previsões , Helmintíase/epidemiologia , Helmintíase/transmissão , Helmintos/classificação , Helmintos/isolamento & purificação , Humanos , Índia/epidemiologia , Malaui/epidemiologia , Administração Massiva de Medicamentos/métodos , Administração Massiva de Medicamentos/estatística & dados numéricos , Modelos Estatísticos , Modelos Teóricos , Prevalência
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