1
|
Mahdi HA, Qashqari FS, Hariri SH, Bamerdah S, Altayyar SA, Almalki HM, Alwadani FA, Alabbasi RA, Alqahtani MH, Alfelali M, Shaban RZ, Booy R, Rashid H. Low Prevalence of Syndromic Respiratory Tract Infections among Returning Hajj Pilgrims Amidst the COVID-19 Pandemic: A Post-Hajj Survey. Trop Med Infect Dis 2022; 7:tropicalmed7080182. [PMID: 36006274 PMCID: PMC9413585 DOI: 10.3390/tropicalmed7080182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/08/2022] [Accepted: 08/11/2022] [Indexed: 12/03/2022] Open
Abstract
This study estimates the point prevalence of symptomatic respiratory tract infections (RTIs) among returned Hajj pilgrims and their contacts in 2021. Using the computer-assisted telephone interview (CATI) technique, domestic pilgrims were invited to participate in this cross-sectional survey two weeks after their home return from Hajj. Of 600 pilgrims approached, 79.3% agreed to participate and completed the survey. Syndromic definitions were used to clinically diagnose possible influenza-like illnesses (ILI) and COVID-19. Median with range was applied to summarise the continuous data, and frequencies and proportions were used to present the categorical variables. Simple logistic regression was carried out to assess the correlations of potential factors with the prevalence of RTIs. The majority of pilgrims (88.7%) reported receiving at least two doses of the COVID-19 vaccine before Hajj. Eleven (2.3%) pilgrims reported respiratory symptoms with the estimated prevalence of possible ILI being 0.2%, and of possible COVID-19 being 0.4%. Among those who were symptomatic, five (45.5%) reported that one or more of their close contacts had developed similar RTI symptoms after the pilgrims’ home return. The prevalence of RTIs among pilgrims who returned home after attending the Hajj 2021 was lower compared with those reported in the pre-pandemic studies; however, the risk of spread of infection among contacts following Hajj is still a concern.
Collapse
Affiliation(s)
- Hashim A. Mahdi
- Public Health Department, College of Health Sciences, Saudi Electronic University, Jeddah 23442, Saudi Arabia
- The Children’s Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, Australia
- National Centre for Immunisation Research and Surveillance, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Correspondence:
| | - Fadi S. Qashqari
- Microbiology Department, Faculty of Medicine, Umm Al-Qura University, Makkah 24381, Saudi Arabia
| | - Sumyya H. Hariri
- Microbiology Department, Faculty of Medicine, Umm Al-Qura University, Makkah 24381, Saudi Arabia
| | - Shahad Bamerdah
- Faculty of Medicine, Umm Al-Qura University, Makkah 24381, Saudi Arabia
| | | | - Hazim M. Almalki
- Faculty of Medicine, Umm Al-Qura University, Makkah 24381, Saudi Arabia
| | - Fayez A. Alwadani
- Faculty of Medicine, Umm Al-Qura University, Makkah 24381, Saudi Arabia
| | - Renan A. Alabbasi
- Faculty of Medicine, Umm Al-Qura University, Makkah 24381, Saudi Arabia
| | | | - Mohammad Alfelali
- Family and Community Medicine Department, Faculty of Medicine in Rabigh, King Abdulaziz University, Jeddah 25732, Saudi Arabia
| | - Ramon Z. Shaban
- New South Wales Biocontainment Centre, Western Sydney Local Health District, Westmead, NSW 2145, Australia
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW 2050, Australia
- Centre for Population Health, Western Sydney Local Health District, North Parramatta, NSW 2151, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Westmead, NSW 2145, Australia
| | - Robert Booy
- The Children’s Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, Australia
- National Centre for Immunisation Research and Surveillance, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Westmead, NSW 2145, Australia
| | - Harunor Rashid
- The Children’s Hospital at Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Westmead, NSW 2145, Australia
- National Centre for Immunisation Research and Surveillance, The Children’s Hospital at Westmead, Westmead, NSW 2145, Australia
- Sydney Institute for Infectious Diseases, The University of Sydney, Westmead, NSW 2145, Australia
| |
Collapse
|
2
|
Redondo-Bravo L, Delgado-Sanz C, Oliva J, Vega T, Lozano J, Larrauri A, The Spanish Influenza Sentinel Surveillance System. Transmissibility of influenza during the 21st-century epidemics, Spain, influenza seasons 2001/02 to 2017/18. ACTA ACUST UNITED AC 2020; 25. [PMID: 32489178 PMCID: PMC7268270 DOI: 10.2807/1560-7917.es.2020.25.21.1900364] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
BackgroundUnderstanding influenza seasonality is necessary for determining policies for influenza control.AimWe characterised transmissibility during seasonal influenza epidemics, including one influenza pandemic, in Spain during the 21th century by using the moving epidemic method (MEM) to calculate intensity levels and estimate differences across seasons and age groups.MethodsWe applied the MEM to Spanish Influenza Sentinel Surveillance System data from influenza seasons 2001/02 to 2017/18. A modified version of Goldstein's proxy was used as an epidemiological-virological parameter. We calculated the average starting week and peak, the length of the epidemic period and the length from the starting week to the peak of the epidemic, by age group and according to seasonal virus circulation.ResultsIndividuals under 15 years of age presented higher transmissibility, especially in the 2009 influenza A(H1N1) pandemic. Seasons with dominance/co-dominance of influenza A(H3N2) virus presented high intensities in older adults. The 2004/05 influenza season showed the highest influenza-intensity level for all age groups. In 12 seasons, the epidemic started between week 50 and week 3. Epidemics started earlier in individuals under 15 years of age (-1.8 weeks; 95% confidence interval (CI):-2.8 to -0.7) than in those over 64 years when influenza B virus circulated as dominant/co-dominant. The average time from start to peak was 4.3 weeks (95% CI: 3.6-5.0) and the average epidemic length was 8.7 weeks (95% CI: 7.9-9.6).ConclusionsThese findings provide evidence for intensity differences across seasons and age groups, and can be used guide public health actions to diminish influenza-related morbidity and mortality.
Collapse
Affiliation(s)
| | - Concepción Delgado-Sanz
- National Centre of Epidemiology, CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Jesús Oliva
- National Centre of Epidemiology, CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | - Tomás Vega
- Public Health Directorate, Castilla y León Regional Health Ministry, Valladolid, Spain
| | - Jose Lozano
- Public Health Directorate, Castilla y León Regional Health Ministry, Valladolid, Spain
| | - Amparo Larrauri
- National Centre of Epidemiology, CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III (ISCIII), Madrid, Spain
| | | |
Collapse
|
3
|
Vega T, Lozano JE, Meerhoff T, Snacken R, Beauté J, Jorgensen P, Ortiz de Lejarazu R, Domegan L, Mossong J, Nielsen J, Born R, Larrauri A, Brown C. Influenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method. Influenza Other Respir Viruses 2016; 9:234-46. [PMID: 26031655 PMCID: PMC4548993 DOI: 10.1111/irv.12330] [Citation(s) in RCA: 76] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2015] [Indexed: 11/29/2022] Open
Abstract
Objectives Although influenza-like illnesses (ILI) and acute respiratory illnesses (ARI) surveillance are well established in Europe, the comparability of intensity among countries and seasons remains an unresolved challenge. The objective is to compare the intensity of ILI and ARI in some European countries. Design and setting Weekly ILI and ARI incidence rates and proportion of primary care consultations were modeled in 28 countries for the 1996/1997–2013/2014 seasons using the moving epidemic method (MEM). We calculated the epidemic threshold and three intensity thresholds, which delimit five intensity levels: baseline, low, medium, high, and very high. The intensity of 2013/2014 season is described and compared by country. Results The lowest ILI epidemic thresholds appeared in Sweden and Estonia (below 10 cases per 100 000) and the highest in Belgium, Denmark, Hungary, Poland, Serbia, and Slovakia (above 100 per 100 000). The 2009/2010 season was the most intense, with 35% of the countries showing high or very high intensity levels. The European epidemic period in season 2013/2014 started in January 2014 in Spain, Poland, and Greece. The intensity was between low and medium and only Greece reached the high intensity level, in weeks 7 to 9/2014. Some countries remained at the baseline level throughout the entire surveillance period. Conclusions Epidemic and intensity thresholds varied by country. Influenza-like illnesses and ARI levels normalized by MEM in 2013/2014 showed that the intensity of the season in Europe was between low and medium in most of the countries. Comparing intensity among seasons or countries is essential for understanding patterns in seasonal epidemics. An automated standardized model for comparison should be implemented at national and international levels.
Collapse
Affiliation(s)
- Tomás Vega
- Public Health Directorate, Castilla y León Regional Health Ministry, Valladolid, Spain
| | - José E Lozano
- Public Health Directorate, Castilla y León Regional Health Ministry, Valladolid, Spain
| | - Tamara Meerhoff
- The Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - René Snacken
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Julien Beauté
- European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Pernille Jorgensen
- Division of Health Security, Infectious Diseases and the Environment, WHO Regional Office for Europe, Copenhagen, Denmark
| | | | - Lisa Domegan
- Health Protection Surveillance Centre, Dublin, Ireland
| | - Joël Mossong
- Laboratoire National de Santé, Luxembourg, Luxembourg
| | | | - Rita Born
- Division of Communicable Diseases, Federal Office of Public Health, Directorates of Public Health, Bern, Switzerland
| | - Amparo Larrauri
- CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Caroline Brown
- Division of Health Security, Infectious Diseases and the Environment, WHO Regional Office for Europe, Copenhagen, Denmark
| |
Collapse
|