Article
Agriculture, Multidisciplinary
Laura K. van der Pol, Andy Robertson, Meagan J. Schipanski, Francisco D. Calderon, Matthew Wallenstein, M. Francesca Cotrufo
Summary: Semi-arid regions are facing threats to wheat production from soil erosion and climate change. Increasing soil organic matter (SOM) is important for sustainable agriculture, and incorporating legumes into crop rotations can help solve the 'soil C dilemma' by increasing SOM and nutrient input. This study found that continuous cropping with both grains and legumes can lead to higher SOC and crop yields compared to traditional wheat-fallow rotations.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Medical Informatics
Jonathan Elias, J. Travis Gossey, Wenna Xi, Marianne Sharko, Laura Robbins, Susan Bostwick, Jane Chang, Virginia Lorenzi, Vasiliki Giatzikis, Jean Scofi, Richard Trepp, Rachel Lewis
Summary: This study aimed to find an effective intervention process to implement adolescent clinical note sharing in a multihospital healthcare system. Through distributing standardized training materials, conducting an email campaign for re-registration, and restricting access to inaccurate accounts, the study successfully increased accurately registered accounts and implemented adolescent clinical note sharing.
APPLIED CLINICAL INFORMATICS
(2023)
Article
Environmental Sciences
Silvia Bonizzoni, Tilen Genov, Giovanni Bearzi
Summary: Group membership plays a crucial role in animal societies, especially in terms of social structure. This study used a time-space method to investigate the social structure of common bottlenose dolphins in the Gulf of Corinth, Greece. The results showed that dolphins mainly formed clusters near coastal cage aquaculture facilities, with clusters consisting predominantly of individuals of the same sex. Females had stronger associations with each other compared to males. The presence of fish farms provided concentrated prey for the dolphins and may have influenced their social interactions.
AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS
(2023)
Article
Environmental Sciences
Andrew Curtis, Sandra Bempah, Jayakrishnan Ajayakumar, Dania Mofleh, Lorriane Odhiambo
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Article
Environmental Sciences
Andrew Curtis, Robert Squires, Vanessa Rouzier, Jean William Pape, Jayakrishnan Ajayakumar, Sandra Bempah, Meer Taifur Alam, Md. Mahbubul Alam, Mohammed H. Rashid, Afsar Ali, John Glenn Morris
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2019)
Article
Computer Science, Information Systems
Jayakrishnan Ajayakumar, Eric Shook
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2020)
Article
Public, Environmental & Occupational Health
Jayakrishnan Ajayakumar, Andrew J. Curtis, Vanessa Rouzier, Jean William Pape, Sandra Bempah, Meer Taifur Alam, Md. Mahbubul Alam, Mohammed H. Rashid, Afsar Ali, John Glenn Morris
Summary: This study demonstrates that machine learning can be effectively used to automatically identify and extract health risk features from spatial video. However, challenges arise when trying to classify undefined objects such as trash or standing water. Furthermore, adjusting the number of image frames selected, image resolution, and their combinations can improve overall model performance.
INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS
(2021)
Article
Critical Care Medicine
Evelyn I. Truong, Vanessa P. Ho, Esther S. Tseng, Colette Ngana, Jacqueline Curtis, Eric T. Curfman, Jeffrey A. Claridge
Summary: Trauma centers in the United States are inconsistently distributed, and the increase in their number is not associated with a decrease in injury-related mortality at the state level. More work is needed to determine the optimal number and location of trauma centers to improve injury-related mortality.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY
(2021)
Letter
Environmental Sciences
Maeve G. MacMurdo, Karen B. Mulloy, Charles W. Felix, Andrew J. Curtis, Jayakrishnan Ajayakumar, Jacqueline Curtis
ENVIRONMENTAL HEALTH PERSPECTIVES
(2022)
Article
Geosciences, Multidisciplinary
Noah Lorincz-Comi, Jayakrishnan Ajayakumar, Jacqueline Curtis, Jing Zhang, Andrew Curtis, Rachel Lovell
Summary: Data from the American Community Survey (ACS) is valuable for understanding social determinants of health and their spatial distributions, but the uncertainty in the data is often ignored, leading to estimate bias and reduced statistical power. Measurement error literature provides tools to handle this error, and modifications to traditional estimators can be made to correct for it.
SPATIAL STATISTICS
(2021)
Article
Environmental Sciences
Andrew J. Curtis, Jayakrishnan Ajayakumar, Jacqueline Curtis, Sam Brown
Summary: This paper discusses the opportunities and challenges in using dynamic patient data for emergency disease mapping in response to COVID-19, and how a new clustering tool continues to evolve with changing pandemic needs.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Anna Kimberly Miller, Jennifer Catherine Gordon, Jacqueline W. Curtis, Jayakrishnan Ajayakumar, Fredrick R. Schumacher, Stefanie Avril
Summary: This study explores the geographic patterns of EC patients within a US institutional cancer registry, finding that patients with non-endometrioid histotypes exhibit geographic clustering in their home address. Living in a high social vulnerability area is associated with non-endometrioid histotypes. The study provides a methodological framework for early targeted intervention and fills the knowledge gap of geography in gynecologic cancers.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Environmental Sciences
Jayakrishnan Ajayakumar, Andrew J. Curtis, Vanessa Rouzier, Jean William Pape, Sandra Bempah, Meer Taifur Alam, Md Mahbubul Alam, Mohammed H. Rashid, Afsar Ali, John Glenn Morris
Summary: The risk of disease associated with contaminated water, poor sanitation, and hygiene in informal settlement environments is well understood. However, collecting data at a suitable spatial and temporal scale presents challenges. This study uses spatial video and bespoke spatial programming to explore water quality and environmental surveys in three informal settlements in Port-au-Prince, Haiti, providing valuable insights that traditional spatial software may not capture. These findings show localized variations in risk that change monthly, some of which may have been mistakenly attributed to proximate environmental factors or meteorological conditions.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Multidisciplinary Sciences
Jayakrishnan Ajayakumar, Andrew Curtis, Jacqueline Curtis
Summary: This paper examines the use of Zip4 codes as a data layer for sharing fine-scale spatial health data, which enables privacy preservation while maintaining suitable analytical precision. The results suggest that Zip4 data provides more insightful geographic output compared to other commonly used aggregation units. However, the use of Zip4 codes also poses a risk to spatial anonymity, and researchers and analysts need to be aware of the potential confidentiality violations.
Article
Infectious Diseases
Andrew J. Curtis, Felicien Maisha, Jayakrishnan Ajayakumar, Sandra Bempah, Afsar Ali, J. Glenn Morris
Summary: This paper provides an overview of using spatial video data collection enriched with contextual mapping as a universal tool for investigating sub-neighborhood scale health risks. The study focuses on the lifecycle of the Mujoga relief camp and demonstrates how these methods capture the deteriorating conditions and cholera cases. The paper also highlights the future data science advances in SV mapping, such as machine learning for risk identification and mapping.
TROPICAL MEDICINE AND INFECTIOUS DISEASE
(2022)