Article
Multidisciplinary Sciences
Robert A. Brown
Summary: A customized model for controlling asymptomatic COVID-19 infections on an urban college campus embedded in a large urban community is presented, showing that more frequent testing and effective contact tracing can decrease infection risk.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Public, Environmental & Occupational Health
Alvaro Flores-Balado, Carlos Castresana Mendez, Antonio Herrero Gonzalez, Raul Meson Gutierrez, Gonzalo de las Casas Camara, Beatriz Vila Cordero, Javier Arcos, Bernadette Pfang, Maria Dolores Martin-Rios
Summary: We present the design and validation of an algorithm for SSI detection after hip replacement surgery, which combines natural language processing (NLP) and extreme gradient boosting. The algorithm was successfully implemented in 4 public hospitals in Madrid, Spain, reducing surveillance time and improving accuracy.
AMERICAN JOURNAL OF INFECTION CONTROL
(2023)
Article
Infectious Diseases
Younes Laidoudi, Guillaume Durand, Stephanie Watier-Grillot, Anne-Sophie Dessimoulie, Claire Labarde, Thomas Normand, Virginie Andreo, Patrick Guerin, Gilda Grard, Bernard Davoust
Summary: Every year, the world faces the threat of vector-borne diseases caused by several potentially fatal flaviviruses. This study screened 556 animals for antibodies against West Nile (WNV) and Usutu (USUV) viruses, and found positive results in some dogs and horses. The geographical distribution of WNV seroprevalence in dogs matched that of reported human cases. The presence of an unidentified flavivirus in the Herault department poses a serious threat to public and animal health.
TRANSBOUNDARY AND EMERGING DISEASES
(2023)
Article
Public, Environmental & Occupational Health
Ui Yoon Choi, Young Mi Kwon, Hye Jeong Kang, Jae Hoon Song, Hae Yeoun Lee, Mi Sook Kim, Se Hoon Kahm, Ji Young Kwon, Sang Hoon Kim, Sang-Hwa Lee, Jung Hyun Choi, Jehoon Lee
Summary: During the IPC surveillance in a regional hospital in Korea, it was found that proper adherence to hand and respiratory hygiene was inadequate during the early stages of the COVID-19 pandemic. Attention and further training are needed for the management of medical waste and patient screening. The results of this study will assist other healthcare facilities in establishing their IPC strategies.
JOURNAL OF INFECTION AND PUBLIC HEALTH
(2021)
Article
Multidisciplinary Sciences
Kaide Xia, Dinghua Chen, Shuai Jin, Xinglin Yi, Li Luo
Summary: This study aimed to predict cancer-specific survival in lung papillary adenocarcinoma (LPADC) using ensemble machine learning and classical Cox regression models. The results showed that the unique survival trees, random survival forests, and gradient boosting survival models performed well in predicting long-term survival. The developed models have been implemented as web applications for deployment into clinical practice.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Christine Tedijanto, Anthony W. Solomon, Diana L. Martin, Scott D. Nash, Jeremy D. Keenan, Thomas M. Lietman, Patrick J. Lammie, Kristen Aiemjoy, Abdou Amza, Solomon Aragie, Ahmed M. Arzika, E. Kelly Callahan, Sydney Carolan, Adisu Abebe Dawed, E. Brook Goodhew, Sarah Gwyn, Jaouad Hammou, Boubacar Kadri, Khumbo Kalua, Ramatou Maliki, Beido Nassirou, Fikre Seife, Zerihun Tadesse, Sheila K. West, Dionna M. Wittberg, Taye Zeru Tadege, Benjamin F. Arnold
Summary: Monitoring antibody responses in children provides a robust method to assess the transmission and elimination progress of trachoma, and identify high-risk areas of infection.
NATURE COMMUNICATIONS
(2023)
Article
Microbiology
Julia Keizer, Christian F. Luz, Bhanu Sinha, Lisette Van Gemert-Pijnen, Casper Albers, Nienke Beerlage-de Jong, Corinna Glasner
Summary: Data and data visualization play crucial roles in decision-making in stewardship, with bar and line charts being the preferred visualization types. Existing visualizations in stewardship research suffer from issues like color mismatches, double y-axis, hidden data points, and chart junk. Recommendations have been made to improve visual communication, color use, data display, and adherence to scientific standards.
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Multidisciplinary Sciences
Rhaquel de Morais Alves Barbosa Oliveira, Francisca Kalline de Almeida Barreto, Geovana Praca Pinto, Isabella Timbo Queiroz, Fernanda Montenegro de Carvalho Araujo, Kilma Wanderley Lopes, Regina Lucia Sousa do Vale, Daniele Rocha Queiroz Lemos, John Washington Cavalcante, Andre Machado Siqueira, Livia Carla Vinhal Frutuoso, Elisabeth Carmen Duarte, Antonio Silva Lima Neto, Andre Ricardo Ribas Freitas, Luciano Pamplona de Goes Cavalcanti
Summary: This study evaluated factors associated with deaths from chikungunya (CHIK) in Fortaleza, Brazil. The results showed that chronic kidney disease and previous heart disease, presence of fever, abdominal pain, apathy, dyspnea, and arthritis were significantly associated with death. Laboratory findings such as leukocytosis, leukopenia, thrombocytopenia, neutropenia, and lymphopenia were also linked to higher risk of death.
Article
Infectious Diseases
Havard Skagseth, Silje Bakken Jorgensen, Jacqui Reilly, Oliver Kacelnik
Summary: An automated nationwide surveillance system was designed to analyze the impact of community infection rates on nosocomial infections, evaluate the effects of case definition changes, and identify high-risk patients and wards as well as the impact of SARS-CoV-2 variants. Existing data sources were used for this purpose.
Article
Gastroenterology & Hepatology
Jennifer M. Kolb, Mindy Chen, Anna Tavakkoli, Jazmyne Gallegos, Jack O'Hara, Wyatt Tarter, Camille J. Hochheimer, Bryan Golubski, Noa Kopplin, Lilly Hennessey, Anita Kalluri, Shalika Devireddy, Frank I. Scott, Gary W. Falk, Amit G. Singal, Ravy K. Vajravelu, Sachin Wani
Summary: Most EAC patients do not have a previous BE diagnosis, indicating a failure of current screening practices. Understanding patient attitudes and barriers is crucial for improving BE screening adherence.
AMERICAN JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Multidisciplinary Sciences
Wen Li, Yuan Liang, Xuan Zhang, Chao Liu, Lei He, Leiying Miao, Weibin Sun
Summary: This study proposes a novel Multi-Task Learning CNN model to screen gingivitis, dental calculus, and soft deposits from oral photos, providing a cost-effective and ubiquitous solution for improving dental health. The model achieved high classification AUC for detecting these issues and moderate accuracy for localizing them, surpassing general-purpose CNN models and demonstrating the effectiveness of Multi-Task Learning in dental disease detection. Overall, the study highlights the potential of deep learning in enabling the screening of dental diseases in large populations.
SCIENTIFIC REPORTS
(2021)
Article
Infectious Diseases
Myrsini Tzani, Alicia Barrasa, Annita Vakali, Theano Georgakopoulou, Kassiani Mellou, Danai Pervanidou
Summary: Visceral leishmaniasis (VL) is endemic in Greece, showing an increasing trend with a significant burden on young children. Cutaneous leishmaniasis (CL) is rarely reported. A sustainable action plan is needed to reduce the burden of VL and prevent local transmission of CL.
Article
Immunology
Amitabh Bipin Suthar, Vichea Ouk, Sovannarith Samreth, Bora Ngauv, Rommel Bain, Bunthoeun Eng, Chhaily Hy, Alexandra Ernst, George W. Rutherford, Chunfu Yang, Vanthy Ly, Rachel Albalak
Summary: We compared characteristics of HIV diagnosis and recent infection in Cambodia, finding differences in geographical burden and risk behaviors. Men who have sex with men, transgender women, and entertainment workers had a higher risk of recent infection. Monitoring recent infections can provide valuable information for HIV programs.
JOURNAL OF INFECTIOUS DISEASES
(2023)
Article
Medical Laboratory Technology
Dongliang Man, Runqing Mu, Kun Zhang, Zhiwei Zhou, Hui Kang
Summary: This study proposes a patient-based pre-classified real-time quality control (PCRTQC) approach, which effectively reduces interference from diverse patient types and enhances data processing and quality control protocols.
CLINICA CHIMICA ACTA
(2023)
Article
Public, Environmental & Occupational Health
M. Rochon, A. Jawarchan, F. Fagan, J. A. Otter, J. Tanner
Summary: Using patient smartphones for post-discharge surveillance is an effective method for collecting patient data, including response rates, infection rates, clinician response time and carbon emissions. It has a positive impact on patient engagement and success in continuous monitoring.
JOURNAL OF HOSPITAL INFECTION
(2023)