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Global spread of Zika virus in 2015 and 2016 highlighted the importance of surveillance to rapidly detect, report, and respond to emerging infections. We describe the lessons learned from the development and deployment of a web-based surveillance reporting system for Zika virus and other acute febrile illnesses (AFI) in Guangdong and Yunnan provinces, China. In less than 2 months, we customized the China Epidemiologic Dynamic Data Collection (EDDC) platform to collect, manage, and visualize data in close to real time. According to provincial and sentinel hospital staff requirements, the customized platform provided specific user authorization management, online/offline data collection, data quality control, and secure data transmission and protection and visualization tools. AFI case data and laboratory test results were entered through a web-based interface by hospital and provincial-level staff and saved on a China CDC server in Beijing. The dashboard visualized aggregate data by hospital, age, onset date, and laboratory test results. From June 2017 to December 2018, data from 768 patients with AFI were entered into the web-based surveillance system and visualized by hospital and provincial-level decision makers. Input from provincial and hospital staff was essential for developing the AFI case-reporting and feedback tools appropriate for specific settings and decision-making requirements. Web-based systems (eg, EDDC, data collection, and visualization tools that can be easily adapted to meet local surveillance needs) can help shorten time for system deployment, thereby strengthening global health security to rapidly detect and respond to emerging infections and outbreaks.
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http://dx.doi.org/10.1089/hs.2019.0079 | DOI Listing |
Ann Surg Oncol
September 2025
Department of Hepatobiliary Surgery, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, China.
Background: Postoperative late recurrence (POLAR) after 2 years from the date of surgical resection of hepatocellular carcinoma (HCC) represents a unique surveillance and management challenge. Despite identified risk factors, individualized prediction tools to guide personalized surveillance strategies for recurrence remain scarce. The current study sought to develop a predictive model for late recurrence among patients undergoing HCC resection.
View Article and Find Full Text PDFJ Eval Clin Pract
September 2025
Health Technology Assessment Unit, Acute and Hospital-Based Care Portfolio, Ontario Health, Toronto, Ontario, Canada.
Rationale: Systematic reviews are essential for evidence-based healthcare decision-making. While it is relatively straightforward to quantitatively assess random errors in systematic reviews, as these are typically reported in primary studies, the assessment of biases often remains narrative. Primary studies seldom provide quantitative estimates of biases and their uncertainties, resulting in systematic reviews rarely including such measurements.
View Article and Find Full Text PDFCancer Manag Res
September 2025
The School of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, People's Republic of China.
Background: Lung cancer brain metastasis (LCBM) accounts for 40-50% of intracranial malignancies, with emerging evidence of alternative metastatic pathways circumventing the blood-brain barrier. Existing prognostic models lack validation in Asian populations and molecular stratification. This multicenter study aimed to develop a clinical nomogram integrating clinicopathological and molecular determinants for personalized LCBM management.
View Article and Find Full Text PDFJMIR Public Health Surveill
August 2025
College of Design and Engineering, National University of Singapore, Singapore, Singapore.
Background: The COVID-19 lockdowns led to significant resource constraints, potentially impacting mental health and decision-making behaviors. Understanding the psychological and behavioral consequences could inform designing interventions to mitigate the negative impacts of episodic scarcity during crises like pandemics.
Objective: To investigate the effects of perceived scarcity on mental health (stress and fear), cognitive functioning, time and risk preferences (present bias and risk aversion), and trade-offs between groceries, health, and temptation goods during and after the COVID-19 lockdown in Shanghai.
Jpn J Ophthalmol
September 2025
Department of Medical Education Studies, International Research Center for Medical Education, Graduate School of Medicine, The University of Tokyo, Bunkyō, Tokyo, Japan.
Purpose: To examine the associations between work-family conflict, implicit gender bias, and turnover intention among hospital ophthalmologists.
Study Design: Cross-sectional study.
Methods: We conducted a web-based questionnaire survey between January and February 2024.