International Public Health Commons^™

News From Cart, Patricia Fanning, Amos Nwosu

Patricia J. Fanning

No abstract provided.

Open Access Challenge, Amy Dailey, Janelle Wertzberger

Janelle Wertzberger

This class activity is designed to help health sciences students understand challenges to accessing public health information in a variety of settings. The exercise was created for students in Prof. Dailey’s Global Health class (HS 322) at Gettysburg College in Fall 2015. The activity, as well as notes for instructors considering using this exercise, are both shared here.

The Spatial Dynamics Of Dengue Virus In Kamphaeng Phet, Thailand, Piraya Bhoomiboonchoo, Robert V. Gibbons, Angkana Huang, In-Kyu Yoon, Darunee Buddhari, Ananda Nisalak, Natkamol Chansatiporn, Mathuros Thipayamongkolgul, Siripen Kalanarooj, Timothy Endy, Alan L. Rothman, Anon Srikiatkhachorn, Sharone Green, Mammen P. Mammen, Derek A. Cummings, Henrik Salje

Sharone Green

BACKGROUND: Dengue is endemic to the rural province of Kamphaeng Phet, Northern Thailand. A decade of prospective cohort studies has provided important insights into the dengue viruses and their generated disease. However, as elsewhere, spatial dynamics of the pathogen remain poorly understood. In particular, the spatial scale of transmission and the scale of clustering are poorly characterized. This information is critical for effective deployment of spatially targeted interventions and for understanding the mechanisms that drive the dispersal of the virus.

METHODOLOGY/PRINCIPAL FINDINGS: We geocoded the home locations of 4,768 confirmed dengue cases admitted to the main hospital in Kamphaeng Phet …

Sequential Dengue Virus Infections Detected In Active And Passive Surveillance Programs In Thailand, 1994-2010, Piraya Bhoomiboonchoo, Ananda Nisalak, Natkamol Chansatiporn, In-Kyu Yoon, Siripen Kalayanarooj, Mathuros Thipayamongkolgul, Timothy Endy, Alan L. Rothman, Sharone Green, Anon Srikiatkhachorn, Darunee Buddhari, Mammen P. Mammen, Robert V. Gibbons

Sharone Green

BACKGROUND: The effect of prior dengue virus (DENV) exposure on subsequent heterologous infection can be beneficial or detrimental depending on many factors including timing of infection. We sought to evaluate this effect by examining a large database of DENV infections captured by both active and passive surveillance encompassing a wide clinical spectrum of disease.

METHODS: We evaluated datasets from 17 years of hospital-based passive surveillance and nine years of cohort studies, including clinical and subclinical DENV infections, to assess the outcomes of sequential heterologous infections. Chi square or Fisher's exact test was used to compare proportions of infection outcomes such …

Case Studies In Evaluating Time Series Prediction Models Using The Relative Mean Absolute Error, Nicholas G. Reich, Justin Lessler, Krzysztof Sakrejda, Stephen A. Lauer, Sopon Iamsirithaworn, Derek A T Cummings

Nicholas G Reich

Statistical prediction models inform decision-making processes in many real-world settings. Prior to using predictions in practice, one must rigorously test and validate candidate models to ensure that the proposed predictions have sufficient accuracy to be used in practice. In this paper, we present a framework for evaluating time series predictions that emphasizes computational simplicity and an intuitive interpretation using the relative mean absolute error metric. For a single time series, this metric enables comparisons of candidate model predictions against naive reference models, a method that can provide useful and standardized performance benchmarks. Additionally, in applications with multiple time series, this …