ABSTRACT
INTRODUCTION: A global reduction in influenza virus activity during the COVID-19 pandemic has been observed, including in the Eastern Mediterranean Region (EMR). However, these changes have not been thoroughly evaluated scientifically in the EMR. OBJECTIVE: We aim to present data on seasonal influenza activity during the pre-pandemic period (2016-2019) and compare it to the pandemic period (2020-2021) in EM countries. METHODS: Epidemiological and virological influenza surveillance data were retrieved from both WHO FluNet and EMFLU networks. Four pre-pandemic analytical periods were used in the comparative analysis. We compiled and calculated weekly aggregated epidemiological data on the number of enrolled patients, number of tested specimens and number of positive influenza specimens. RESULTS: 19 out of the 22 countries of the EMR have functioning sentinel influenza surveillance systems, and these countries report the influenza data to WHO through FluNet and EMFLU. The number of enrolled patients and tested specimens increased gradually from 51 384 and 50 672, respectively, in 2016-2017 analytical period to 194 049 enrolled patients and 124 697 tested specimens in 2019-2020. A decrease has been witnessed in both enrolled patients and tested specimens in 2020-2021 'pandemic period' (166 576 and 44 764, respectively). By comparing influenza activity of analytical period 2020-2021 with that of 2016-2019 analytical periods, we found that there has been a decrease in influenza positivity rate in the EMR by 89%. CONCLUSION: The implementation of non-pharmaceutical interventions to control the COVID-19 pandemic may have also impacted the spread of influenza viruses. The low circulation of influenza viruses during 2020-2021 and the associated potential immunity gap may result in increased transmission and severity of post-pandemic influenza seasons. This necessitates high vigilance to continuous data and virus sharing to monitor circulating viruses in a timely fashion to reduce the intensity and severity of future influenza epidemics.
Subject(s)
COVID-19 , Influenza, Human , Humans , Influenza, Human/epidemiology , Mediterranean Region/epidemiology , Pandemics , Sentinel SurveillanceABSTRACT
BACKGROUND: During the 2019 Hajj, the Ministry of Health in Saudi Arabia implemented for the first time a health early warning system for rapid detection and response to health threats. AIMS: This study aimed to describe the early warning findings at the Hajj to highlight the pattern of health risks and the potential benefits of the disease surveillance system. METHODS: Using syndromic surveillance and event-based surveillance data, the health early warning system generated automated alarms for public health events, triggered alerts for rapid epidemiological investigations and facilitated the monitoring of health events. RESULTS: During the deployment period (4 July-31 August 2019), a total of 121 automated alarms were generated, of which 2 events (heat-related illnesses and injuries/trauma) were confirmed by the response teams. CONCLUSION: The surveillance system potentially improved the timeliness and situational awareness for health events, including non-infectious threats. In the context of the current COVID-19 pandemic, a health early warning system could enhance case detection and facilitate monitoring of the disease geographical spread and the effectiveness of control measures.
Subject(s)
COVID-19/epidemiology , Communicable Disease Control/organization & administration , Disease Outbreaks/prevention & control , Islam , Public Health Administration/methods , Public Health Surveillance/methods , Crowding , Health Planning/organization & administration , Humans , Mass Behavior , Mediterranean Region/epidemiology , Pandemics , SARS-CoV-2 , Saudi Arabia/epidemiology , Sentinel Surveillance , TravelABSTRACT
BACKGROUND: Approximately half of the reported laboratory-confirmed infections of Middle East respiratory syndrome coronavirus (MERS-CoV) have occurred in healthcare settings, and healthcare workers constitute over one third of all secondary infections. This study aimed to describe secondary cases of MERS-CoV infection among healthcare workers and to identify risk factors for death. METHODS: A retrospective analysis was conducted on epidemiological data of laboratory-confirmed MERS-CoV cases reported to the World Health Organization from September 2012 to 2 June 2018. We compared all secondary cases among healthcare workers with secondary cases among non-healthcare workers. Multivariable logistic regression identified risk factors for death. RESULTS: Of the 2223 laboratory-confirmed MERS-CoV cases reported to WHO, 415 were healthcare workers and 1783 were non-healthcare workers. Compared with non-healthcare workers cases, healthcare workers cases were younger (P < 0.001), more likely to be female (P < 0.001), non-nationals (P < 0.001) and asymptomatic (P < 0.001), and have fewer comorbidities (P < 0.001) and higher rates of survival (P < 0.001). Year of infection (2013-2018) and having no comorbidities were independent protective factors against death among secondary healthcare workers cases. CONCLUSION: Being able to protect healthcare workers from high threat respiratory pathogens, such as MERS-CoV is important for being able to reduce secondary transmission of MERS-CoV in healthcare-associated outbreaks. By extension, reducing infection in healthcare workers improves continuity of care for all patients within healthcare facilities.