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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
Steven A. Cohen

54 shared publications

Virginia Commonwealth University School of Medicine

Elena N. Naumova

49 shared publications

Tufts University

Lynne C. Messer

31 shared publications

School of Community Health–College of Urban and Public Affairs, Portland State University, Portland, Oregon, USA

Andrey I. Egorov

16 shared publications

Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, United States of America

Honorine D. Ward

10 shared publications

Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Masschusetts, United States of America

3
Publications
6
Reads
0
Downloads
29
Citations
Publication Record
Distribution of Articles published per year 
(2008 - 2013)
Total number of journals
published in
 
3
 
Publications
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
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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 2 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
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