Navegando por Autor "Checkley, William"
Agora exibindo 1 - 3 de 3
- Resultados por página
- Opções de Ordenação
Artigo Disease surveillance methods used in the 8-site MAL-ED cohort study(Clinical Infectious Diseases, 2014-11) Maciel, Bruna Leal Lima; Richard, Stephanie Ann; Barrett, Leah J.; Guerrant, Richard L.; Checkley, William; Miller, Mark AndrewDescribing the early life associations between infectious disease episodes and growth, cognitive development, and vaccine response in the first 2 years of life is one of the primary goals of the Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) cohort study. To collect high-resolution data during a critical early period of development, field staff visit each study participant at their house twice weekly from birth to 2 years of age to collect daily reported illness and treatment data from caregivers. Detailed infectious disease histories will not only allow us to relate the overall burden of infectious disease with the primary outcomes of the study, but will also allow us to describe the ages at which infectious diseases have the greatest effect on child health. In addition, twice-weekly visits allow for sample collection when diarrhea episodes are identified. This article describes the methods used to collect illness and treatment history data and discusses the a priori definitions of diarrhea and acute lower respiratory illness episodesArtigo Methods of analysis of enteropathogen infection in the MAL-ED cohort study(Clinical Infectious Diseases, 2014-11) Maciel, Bruna Leal Lima; Platts-Mills, James Alexander; McCormick, Benjamin J. J.; Kosek, Margaret; Pan, William K.; Checkley, William; Houpt, Eric RobertStudies of diarrheal etiology in low- and middle-income countries have typically focused on children presenting with severe symptoms to health centers and thus are best equipped to describe the pathogens capable of leading to severe diarrheal disease. The Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) cohort study was designed to evaluate, via intensive community surveillance, the hypothesis that repeated exposure to enteropathogens has a detrimental effect on growth, vaccine response, and cognitive development, which are the primary outcome measures for this study. In the setting of multiple outcomes of interest, a longitudinal cohort design was chosen. Because many or even the majority of enteric infections are asymptomatic, the collection of asymptomatic surveillance stools was a critical element. However, capturing diarrheal stools additionally allowed for the determination of the principle causes of diarrhea at the community level as well as for a comparison between those enteropathogens associated with diarrhea and those that are associated with poor growth, diminished vaccine response, and impaired cognitive development. Here, we discuss the analytical methods proposed for the MAL-ED study to determine the principal causes of diarrhea at the community level and describe the complex interplay between recurrent exposure to enteropathogens and these critical long-term outcomesArtigo Modeling environmental influences on child growth in the MAL-ED cohort study: opportunities and challenges(Clinical Infectious Diseases, 2014-11) Maciel, Bruna Leal Lima; Richard, Stephanie Ann; McCormick, Benjamin J. J.; Miller, Mark Andrew; Caulfield, Laura E.; Checkley, WilliamAlthough genetics, maternal undernutrition and low birth weight status certainly play a role in child growth, dietary insufficiency and infectious diseases are key risk factors for linear growth faltering during early childhood. A primary goal of the Etiology, Risk Factors and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development (MAL-ED) study is to identify specific risk factors associated with growth faltering during the first 2 years of life; however, growth in early childhood is challenging to characterize because growth may be inherently nonlinear with age. In this manuscript, we describe some methods for analyzing longitudinal growth to evaluate both short- and long-term associations between risk factors and growth trajectories over the first 2 years of life across 8 resource-limited settings using harmonized protocols. We expect there will be enough variability within and between sites in the prevalence of risk factors and burden of linear growth faltering to allow us to distinguish some of the key pathways to linear growth faltering in the MAL-ED study