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Jyotsna Jagai   Dr.  Post Doctoral Researcher 
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Jyotsna Jagai published an article in July 2013.
Top co-authors See all
Elena N. Naumova

112 shared publications

Tufts University

Steven A. Cohen

54 shared publications

Virginia Commonwealth University School of Medicine

Lynne C. Messer

31 shared publications

Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Center for Health Policy, Duke Global Health Institute, Duke University, Durham, NC, USA; College of Urban and Public Affairs, Portland State University, Portland, OR, USA

Danelle Lobdell

26 shared publications

U.S. Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, MD 58A, Research Triangle Park, NC 27711, USA

Andrey I. Egorov

17 shared publications

United States Environmental Protection Agency, National Health and Environmental Effects Research Laboratory, MD 58-C, 109. T.W. Alexander Drive, Research Triangle Park, NC 27711, USA

Publication Record
Distribution of Articles published per year 
(2008 - 2013)
Total number of journals
published in
Article 2 Reads 1 Citation Putting Regulatory Data to Work at the Service of Public Health: Utilizing Data Collected Under the Clean Water Act Jyotsna S. Jagai, Barbara J. Rosenbaum, Suzanne M. Pierson, ... Published: 02 July 2013
Water Quality, Exposure and Health, doi: 10.1007/s12403-013-0095-1
DOI See at publisher website
Article 2 Reads 24 Citations Seasonality of Rotavirus in South Asia: A Meta-Analysis Approach Assessing Associations with Temperature, Precipitation,... Jyotsna S. Jagai, Rajiv Sarkar, Denise Castronovo, Deepthi K... Published: 31 May 2012
PLOS ONE, doi: 10.1371/journal.pone.0038168
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Rotavirus infection causes a significant proportion of diarrhea in infants and young children worldwide leading to dehydration, hospitalization, and in some cases death. Rotavirus infection represents a significant burden of disease in developing countries, such as those in South Asia. We conducted a meta-analysis to examine how patterns of rotavirus infection relate to temperature and precipitation in South Asia. Monthly rotavirus data were abstracted from 39 published epidemiological studies and related to monthly aggregated ambient temperature and cumulative precipitation for each study location using linear mixed-effects models. We also considered associations with vegetation index, gathered from remote sensing data. Finally, we assessed whether the relationship varied in tropical climates and humid mid-latitude climates. Overall, as well as in tropical and humid mid-latitude climates, low temperature and precipitation levels are significant predictors of an increased rate of rotaviral diarrhea. A 1°C decrease in monthly ambient temperature and a decrease of 10 mm in precipitation are associated with 1.3% and 0.3% increase above the annual level in rotavirus infections, respectively. When assessing lagged relationships, temperature and precipitation in the previous month remained significant predictors and the association with temperature was stronger in the tropical climate. The same association was seen for vegetation index; a seasonal decline of 0.1 units results in a 3.8% increase in rate of rotavirus. In South Asia the highest rate of rotavirus was seen in the colder, drier months. Meteorological characteristics can be used to better focus and target public health prevention programs.
Article 0 Reads 4 Citations Seasonal Patterns of Gastrointestinal Illness and Streamflow along the Ohio River Jyotsna S. Jagai, Jeffrey K. Griffiths, Paul K. Kirshen, Pat... Published: 07 May 2012
International Journal of Environmental Research and Public Health, doi: 10.3390/ijerph9051771
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Waterborne gastrointestinal (GI) illnesses demonstrate seasonal increases associated with water quality and meteorological characteristics. However, few studies have been conducted on the association of hydrological parameters, such as streamflow, and seasonality of GI illnesses. Streamflow is correlated with biological contamination and can be used as proxy for drinking water contamination. We compare seasonal patterns of GI illnesses in the elderly (65 years and older) along the Ohio River for a 14-year period (1991–2004) to seasonal patterns of streamflow. Focusing on six counties in close proximity to the river, we compiled weekly time series of hospitalizations for GI illnesses and streamflow data. Seasonal patterns were explored using Poisson annual harmonic regression with and without adjustment for streamflow. GI illnesses demonstrated significant seasonal patterns with peak timing preceding peak timing of streamflow for all six counties. Seasonal patterns of illness remain consistent after adjusting for streamflow. This study found that the time of peak GI illness precedes the peak of streamflow, suggesting either an indirect relationship or a more direct path whereby pathogens enter water supplies prior to the peak in streamflow. Such findings call for interdisciplinary research to better understand associations among streamflow, pathogen loading, and rates of gastrointestinal illnesses.
Article 3 Reads 4 Citations The SEEDs of two gastrointestinal diseases: Socioeconomic, environmental, and demographic factors related to cryptospori... Steven A. Cohen, Andrey I. Egorov, Bela T. Matyas, Kenneth K... Published: 01 October 2008
Environmental Research, doi: 10.1016/j.envres.2008.06.009
DOI See at publisher website PubMed View at PubMed