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Jean-Paul Chretien
In-Q-Tel
OutbreakPublic healthRift Valley feverMedicineEnvironmental health
60Publications
19H-index
1,454Citations
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Publications 63
Newest
#1Simon Pollett (WRAIR: Walter Reed Army Institute of Research)H-Index: 12
#2Michael A. Johansson (CDC: Centers for Disease Control and Prevention)H-Index: 27
Last. Rachel Sippy (State University of New York Upstate Medical University)H-Index: 1
view all 18 authors...
Abstract Introduction High quality epidemic forecasting and prediction are critical to support response to local, regional and global infectious disease threats. Other fields of biomedical research use consensus reporting guidelines to ensure standardization and quality of research practice among researchers, and to provide a framework for end-users to interpret the validity of study results. The purpose of this study was to determine whether guidelines exist specifically for epidemic forecast a...
1 CitationsSource
A wide range of research has promised new tools for forecasting infectious disease dynamics, but little of that research is currently being applied in practice, because tools do not address key public health needs, do not produce probabilistic forecasts, have not been evaluated on external data, or do not provide sufficient forecast skill to be useful. We developed an open collaborative forecasting challenge to assess probabilistic forecasts for seasonal epidemics of dengue, a major global publi...
11 CitationsSource
#1Pei-Ying Kobres (GW: George Washington University)H-Index: 1
#2Jean-Paul ChretienH-Index: 19
Last. Simon Pollett (WRAIR: Walter Reed Army Institute of Research)H-Index: 12
view all 12 authors...
Introduction Epidemic forecasting and prediction tools have the potential to provide actionable information in the midst of emerging epidemics. While numerous predictive studies were published during the 2016–2017 Zika Virus (ZIKV) pandemic, it remains unknown how timely, reproducible, and actionable the information produced by these studies was. Methods To improve the functional use of mathematical modeling in support of future infectious disease outbreaks, we conducted a systematic review of a...
2 CitationsSource
#1Caitlin M. Rivers (Johns Hopkins University)H-Index: 12
#1Caitlin Rivers (Johns Hopkins University)H-Index: 4
Last. Simon Pollett (WRAIR: Walter Reed Army Institute of Research)H-Index: 12
view all 15 authors...
Infectious disease modeling has played a prominent role in recent outbreaks, yet integrating these analyses into public health decision-making has been challenging. We recommend establishing ‘outbreak science’ as an inter-disciplinary field to improve applied epidemic modeling.
25 CitationsSource
#1P.-Y. Kobres (GW: George Washington University)H-Index: 1
#2Jean-Paul ChretienH-Index: 19
Last. Simon Pollett (WRAIR: Walter Reed Army Institute of Research)H-Index: 12
view all 12 authors...
Abstract INTRODUCTION Epidemic forecasting and prediction tools have the potential to provide actionable information in the midst of emerging epidemics. While numerous predictive studies were published during the 2016-2017 Zika Virus (ZIKV) pandemic, it remains unknown how timely, reproducible and actionable the information produced by these studies was. METHODS To improve the functional use of mathematical modeling in support of future infectious disease outbreaks, we conducted a systematic rev...
2 CitationsSource
#1Assaf Anyamba (GSFC: Goddard Space Flight Center)H-Index: 25
#2Jean-Paul Chretien (Silver Spring Networks)H-Index: 19
Last. Kenneth J. Linthicum (ARS: Agricultural Research Service)H-Index: 35
view all 13 authors...
Interannual climate variability patterns associated with the El Nino-Southern Oscillation phenomenon result in climate and environmental anomaly conditions in specific regions worldwide that directly favor outbreaks and/or amplification of variety of diseases of public health concern including chikungunya, hantavirus, Rift Valley fever, cholera, plague, and Zika. We analyzed patterns of some disease outbreaks during the strong 2015–2016 El Nino event in relation to climate anomalies derived from...
13 CitationsSource
#1Assaf AnyambaH-Index: 25
Last. Compton J. TuckerH-Index: 94
view all 9 authors...
Objective The transition from ICD-9-CM to ICD-10-CM requires evaluation of syndrome mappings to obtain a baseline for syndromic surveillance purposes. Two syndrome mappings are evaluated in this report. Introduction The Department of Defense conducts syndromic surveillance of health encounter visits of Military Health System (MHS) beneficiaries. Providers within the MHS assign up to 10 diagnosis codes to each health encounter visit. The diagnosis codes are grouped into syndrome and sub-syndrome ...
1 CitationsSource
Objective The Department of Defense data is available to National Syndromic Surveillance Program (NSSP) users to conduct syndromic surveillance. This report summarizes the demographic characteristics of DoD health encounter visits. Introduction The DoD provides daily outpatient and emergency room data feeds to the BioSense Platform within NSSP, maintained by the Centers for Disease Control and Prevention. This data includes demographic characteristics and diagnosis codes for health encounter vis...
Source
#1Linda J. Moniz (APL: Johns Hopkins University Applied Physics Laboratory)H-Index: 4
#2Anna L. Buczak (APL: Johns Hopkins University Applied Physics Laboratory)H-Index: 10
Last. Jean-Paul Chretien (Defense Health Agency)H-Index: 1
view all 5 authors...
Background Prediction of influenza weeks in advance can be a useful tool in the management of cases and in the early recognition of pandemic influenza seasons.
1 CitationsSource
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