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Articles 1 - 4 of 4
Full-Text Articles in Medicine and Health Sciences
Maximizing The Impact Of Training Initiatives For Health Professionals In Low-Income Countries: Frameworks, Challenges, And Best Practices, Corrado Cancedda, Paul E. Farmer, Vanessa Kerry, Tej Nuthulaganti, Kirstin W. Scott, Eric Goosby, Agnes Binagwaho
Maximizing The Impact Of Training Initiatives For Health Professionals In Low-Income Countries: Frameworks, Challenges, And Best Practices, Corrado Cancedda, Paul E. Farmer, Vanessa Kerry, Tej Nuthulaganti, Kirstin W. Scott, Eric Goosby, Agnes Binagwaho
Dartmouth Scholarship
Corrado Cancedda and colleagues outline a framework for health professional training initiatives in low-income countries.
A Comparison Of Five Malaria Transmission Models: Benchmark Tests And Implications For Disease Control, Dorothy I. Wallace, Ben S. Southworth, Xun Shi, Jonathan W. Chipman, Andrew K. Githeko
A Comparison Of Five Malaria Transmission Models: Benchmark Tests And Implications For Disease Control, Dorothy I. Wallace, Ben S. Southworth, Xun Shi, Jonathan W. Chipman, Andrew K. Githeko
Dartmouth Scholarship
Background: Models for malaria transmission are usually compared based on the quantities tracked, the form taken by each term in the equations, and the qualitative properties of the systems at equilibrium. Here five models are compared in detail in order to develop a set of performance measures that further illuminate the differences among models.
Methods: Five models of malaria transmission are compared. Parameters are adjusted to correspond to similar biological quantities across models. Nine choices of parameter sets/initial conditions are tested for all five models. The relationship between malaria incidence in humans and (1) malaria incidence in vectors, (2) man-biting …
Measuring Infertility In Populations: Constructing A Standard Definition For Use With Demographic And Reproductive Health Surveys, Maya N. Mascarenhas, Hoiwan Cheung, Colin D. Mathers, Gretchen A. Stevens
Measuring Infertility In Populations: Constructing A Standard Definition For Use With Demographic And Reproductive Health Surveys, Maya N. Mascarenhas, Hoiwan Cheung, Colin D. Mathers, Gretchen A. Stevens
Dartmouth Scholarship
Background: Infertility is a significant disability, yet there are no reliable estimates of its global prevalence. Studies on infertility prevalence define the condition inconsistently, rendering the comparison of studies or quantitative summaries of the literature difficult. This study analyzed key components of infertility to develop a definition that can be consistently applied to globally available household survey data.
Methods: We proposed a standard definition of infertility and used it to generate prevalence estimates using 53 Demographic and Health Surveys (DHS). The analysis was restricted to the subset of DHS that contained detailed fertility information collected through the reproductive health calendar. …
Refining The Global Spatial Limits Of Dengue Virus Transmission By Evidence-Based Consensus, Oliver J. Brady, Peter W. Gething, Samir Bhatt, Jane P. Messina, John S. Brownstein, Anne G. Hoen
Refining The Global Spatial Limits Of Dengue Virus Transmission By Evidence-Based Consensus, Oliver J. Brady, Peter W. Gething, Samir Bhatt, Jane P. Messina, John S. Brownstein, Anne G. Hoen
Dartmouth Scholarship
Background: Dengue is a growing problem both in its geographical spread and in its intensity, and yet current global distribution remains highly uncertain. Challenges in diagnosis and diagnostic methods as well as highly variable national health systems mean no single data source can reliably estimate the distribution of this disease. As such, there is a lack of agreement on national dengue status among international health organisations. Here we bring together all available information on dengue occurrence using a novel approach to produce an evidence consensus map of the disease range that highlights nations with an uncertain dengue status.
Methods/Principle Findings: …