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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

Elena N. Naumova

40 shared publications

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

Lynne C. Messer

34 shared publications

Duke University

Honorine Ward

10 shared publications

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

Danelle T. Lobdell

7 shared publications

US Environmental Protection Agency

Publication Record
Distribution of Articles published per year 
(2008 - 2013)
Total number of journals
published in
Article 1 Read 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
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Under the Clean Water Act, the US Environmental Protection Agency (EPA) collects information from states on intended use and impairment of each water body. We explore the feasibility of using these data, collected for regulatory purposes, for public health analyses. Combining EPA impairment data and stream hydrology information we estimated the percent of stream length impaired for any use, recreational use, or drinking water use per county in the US as exposure variables. For health outcomes we abstracted county-level hospitalization rates of gastrointestinal infections, GI (ICD-9CM 001-009 excluding 008.45) and gastrointestinal symptoms, GS (ICD-9CM 558.9, 787) among US adults aged 65 years and older from the Center for Medicare and Medicaid Services (1991–2004). Linear mixed-effects models were used to assess county-level associations between percent impaired waters and hospitalization rates adjusted for population density, a proxy for person-to-person transmission. Contrary to expectation, both GI and GS were negatively associated with any water impairment in adjusted models (GI: −0.052, 95 % CI: −0.077, −0.028; GS: −0.438, 95 % CI: −0.702, −0.174). GI was also negatively associated with recreational water impairment (−0.079, 95 % CI: −0.123, −0.036 after adjustment). Neither outcome was associated with drinking water impairment. Limited state data were reported to the EPA for specific recreational (27 states) and drinking (13 states) water impairment, thus limiting the power of the study. Though limited, this analysis demonstrates the feasibility of utilizing regulatory data for public health analyses.
Article 1 Read 19 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
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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 1 Read 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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ObjectivesWe assessed associations between community-level socioeconomic, demographic, and environmental characteristics, and the presence of two potentially waterborne infectious diseases, cryptosporidiosis and giardiasis, as reported to the Massachusetts Department of Public Health.MethodsWe created a series of maps showing the spatial distribution of cryptosporidiosis and giardiasis in Massachusetts (1993–2002) overall and by age, using logistic regression to analyze associations between community-level characteristics and the presence of at least one reported case of each disease. This analysis was repeated for communities with predominantly private water supplies.ResultAfter adjusting for population size, higher population density and larger than average household sizes were associated with increased odds of reported cases of cryptosporidiosis. Giardiasis was also associated with high population density, but was not associated with household size. In the elderly, income was positively associated with the presence of giardiasis.DiscussionThese findings suggest that greater population density and larger household sizes may increase the likelihood of protozoan gastrointestinal infection. The results emphasize the necessity to account for distal factors, such as demographic characteristics, that may ultimately play a role in the transmission or reporting of disease.