Antarpreet S. Jutla, Ph.D.
Affiliations: | 2006-2011 | Civil Engineering | Tufts University, Boston |
2019- | Environmental Engineering Sciences | University of Florida |
Area:
Hydrology, Civil Engineering, Water Resource ManagementGoogle:
"Antarpreet Jutla"Parents
Sign in to add mentorShafiqul Islam | grad student | 2011 | Tufts | |
(Hydrology, remote sensing and water related diseases: Predicting cholera outbreaks in Bengal delta.) |
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Publications
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Usmani M, Brumfield KD, Magers B, et al. (2024) Building Environmental and Sociological Predictive Intelligence to Understand the Seasonal Threat of SARS-CoV-2 in Human Populations. The American Journal of Tropical Medicine and Hygiene |
Jutla A, Usmani M, Brumfield KD, et al. (2023) Anticipatory decision-making for cholera in Malawi. Mbio. e0052923 |
Brumfield KD, Usmani M, Santiago S, et al. (2023) Genomic diversity of spp. and metagenomic analysis of pathogens in Florida Gulf coastal waters following Hurricane Ian. Mbio. e0147623 |
Mao Y, Zeineldin M, Usmani M, et al. (2023) Local and Environmental Reservoirs of After Hurricane Florence Flooding. Geohealth. 7: e2023GH000877 |
Gangwar M, Usmani M, Jamal Y, et al. (2023) Environmental Factors Associated with Incidence and Distribution of and in Chesapeake Bay, Maryland, USA: A three-year case study. Biorxiv : the Preprint Server For Biology |
Usmani M, Uprety S, Bonham N, et al. (2023) Assessment of pathogens in flood waters in coastal rural regions: Case study after Hurricane Michael and Florence. Plos One. 18: e0273757 |
Brumfield KD, Chen AJ, Gangwar M, et al. (2023) Environmental Factors Influencing Occurrence of Vibrio parahaemolyticus and Vibrio vulnificus. Applied and Environmental Microbiology. e0030723 |
Usmani M, Brumfield KD, Magers BM, et al. (2023) Combating cholera by building predictive capabilities for pathogenic Vibrio cholerae in Yemen. Scientific Reports. 13: 2255 |
Usmani M, Brumfield KD, Magers BM, et al. (2022) Predictive Intelligence for Cholera in Ukraine? Geohealth. 6: e2022GH000681 |
Jamal Y, Gangwar M, Usmani M, et al. (2022) Identification of thresholds on population density for understanding transmission of COVID-19. Geohealth. e2021GH000449 |