RESUMEN
BACKGROUND: Large gatherings often involve extended and intimate contact among individuals, creating environments conducive to the spread of infectious diseases. Despite this, there is limited research utilizing outbreak detection algorithms to analyze real syndrome data from such events. This study sought to address this gap by examining the implementation and efficacy of outbreak detection algorithms for syndromic surveillance during mass gatherings in Iraq. METHODS: For the study, 10 data collectors conducted field data collection over 10 days from August 25, 2023, to September 3, 2023. Data were gathered from 10 healthcare clinics situated along Ya Hussein Road, a major route from Najaf to Karbala in Iraq. Various outbreak detection algorithms, such as moving average, cumulative sum, and exponentially weighted moving average, were applied to analyze the reported syndromes. RESULTS: During the 10 days from August 25, 2023, to September 3, 2023, 12202 pilgrims visited 10 health clinics along a route in Iraq. Most pilgrims were between 20 and 59 years old (77.4%, n=9444), with more than half being foreigners (58.1%, n=7092). Among the pilgrims, 40.5% (n=4938) exhibited syndromes, with influenza-like illness (ILI) being the most common (48.8%, n=2411). Other prevalent syndromes included food poisoning (21.2%, n=1048), heatstroke (17.7%, n=875), febrile rash (9.0%, n=446), and gastroenteritis (3.2%, n=158). The cumulative sum (CUSUM) algorithm was more effective than exponentially weighted moving average (EWMA) and moving average (MA) algorithms for detecting small shifts. CONCLUSION: Effective public health surveillance systems are crucial during mass gatherings to swiftly identify and address emerging health risks. Utilizing advanced algorithms and real-time data analysis can empower authorities to improve their readiness and response capacity, thereby ensuring the protection of public health during these gatherings.
RESUMEN
Hepatitis B virus (HBV) infection remains a significant global public health challenge, leading to considerable morbidity and mortality. Implementation of effective strategies and novel initiatives is necessary to control and eliminate HBV. To identify the key approaches and actions used worldwide for HBV control and elimination, we conducted a comprehensive scoping review. We searched various sources, including PubMed, Scopus, Web of Science, Google Scholar, the official websites of the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC), and relevant articles and reports published in the past decade. Our inclusion criteria focused on studies that reported on strategies for HBV control and elimination, provided evidence of their effectiveness, and assessed their impact on public health outcomes. We included 16 articles in our review, which highlighted a range of strategies, such as universal HBV vaccination, prevention of mother-to-child transmission, mass screening programs, and treatment of chronically infected individuals. These strategies have shown promising results in reducing HBV transmission rate, improving health outcomes, and making progress toward HBV elimination. Moreover, several challenges, including limited access to care, low awareness, stigma, and funding constraints, hinder the effectiveness of elimination programs. The findings underscore the importance of sustained efforts and investment in comprehensive strategies for HBV control and elimination. It is crucial to address barriers to care and enhance public awareness to achieve the goal of eliminating HBV as a public health threat by 2030.
