ABSTRACT
Pebrine disease, caused by Nosema bombycis (N. bombycis), is the most important pathogen known to the silk industry. Historical evidence from several countries shows that the outbreaks of pebrine disease have largely caused the decline of the sericulture industry. Prevention is the first line to combat pebrine as a deadly disease in silkworm; however, no effective treatment has yet been presented to treat the disease. Many different methods have been used for detection of pebrine disease agent. This review focuses on the explanation and comparison of these methods, and describes their advantages and/or disadvantages. Also, it highlights the ongoing advances in diagnostic methods for N. bombycis that could enable efforts to halt this microsporidia infection. The detection methods are categorized as microscopic, immunological and nucleic acid-based approaches, each with priorities over the other methods; however, the suitability of each method depends on the available equipment in the laboratory, the mass of infection, and the speed and sensitivity of detection. The accessibility and economic efficiency are compared as well as the speed and the sensitivity for each method. Although, the light microscopy is the most common method for detection of N. bombycis, qPCR is the most preferred method for large data based on speed and sensitivity as well as early detection ability.
ABSTRACT
BACKGROUND: Public Health Dashboards (PHDs) facilitate the monitoring and prediction of disease outbreaks by continuously monitoring the health status of the community. This study aimed to identify design principles and determinants for developing public health surveillance dashboards. METHODOLOGY: This scoping review is based on Arksey and O'Malley's framework as included in JBI guidance. Four databases were used to review and present the proposed principles of designing PHDs: IEEE, PubMed, Web of Science, and Scopus. We considered articles published between January 1, 2010 and November 30, 2022. The final search of articles was done on November 30, 2022. Only articles in the English language were included. Qualitative synthesis and trend analysis were conducted. RESULTS: Findings from sixty-seven articles out of 543 retrieved articles, which were eligible for analysis, indicate that most of the dashboards designed from 2020 onwards were at the national level for managing and monitoring COVID-19. Design principles for the public health dashboard were presented in five groups, i.e., considering aim and target users, appropriate content, interface, data analysis and presentation types, and infrastructure. CONCLUSION: Effective and efficient use of dashboards in public health surveillance requires implementing design principles to improve the functionality of these systems in monitoring and decision-making. Considering user requirements, developing a robust infrastructure for improving data accessibility, developing, and applying Key Performance Indicators (KPIs) for data processing and reporting purposes, and designing interactive and intuitive interfaces are key for successful design and development.
