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Fahim M, Abu ElSood H, AbdElGawad B, Deghedy O, Naguib A, Roshdy WH, Showky S, Kamel R, Elguindy N, Abdel Fattah M, Afifi S, Kandeel A, Abdelghaffar K. Adapting an integrated acute respiratory infections sentinel surveillance to the COVID-19 pandemic requirements, Egypt, 2020-2022. Public Health Pract (Oxf) 2023; 5:100358. [PMID: 36686982 PMCID: PMC9846875 DOI: 10.1016/j.puhip.2023.100358] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 12/14/2022] [Accepted: 01/12/2023] [Indexed: 01/19/2023] Open
Abstract
Objectives In Egypt, an integrated surveillance for acute respiratory infections (ARIs) was established in 2016 to identify the causes of ARIs. The surveillance system includes 19 governmental hospitals. In response to the coronavirus disease 2019 (COVID-19) pandemic, the World Health Organisation (WHO) requested surveillance adaptation to address the emerging challenges. This study aims to describe the experience in Egypt of adapting ARI surveillance to the COVID-19 pandemic. Methods WHO case definitions were used to identify patients with ARIs. Nasopharyngeal/oropharyngeal swabs were collected for SARS-CoV-2 and influenza testing. Demographic and clinical information were obtained by interviewing patients at the hospitals. During the COVID-19 pandemic, the first two outpatients daily and every fifth admitted patient were enrolled in the study. To determine the status of ARIs in Egypt during the pandemic, patient demographic, clinical and laboratory data from 2020 to 2022 were obtained and descriptive analyses were performed. Results Overall, 18,160 patients were enrolled in the study, including 7923 (43.6%) seen at outpatient clinics and 10,237 (56.4%) inpatients. Of the study participants, 6453 (35.5%) tested positive for ARIs, including 5620 (87.1%) for SARS-CoV-2, 781 (12.1%) for influenza and 52 (0.8%) for SARS-CoV-2/influenza coinfection. SARS-CoV-2 was the cause for 95.3% of admitted patients and 65.4% of outpatients. Influenza subtypes included A/H3 (55.7%), Influenza-B (29.1%) and H1/pdm09 (14.2%). Compared with influenza, SARS-CoV-2 tended to infect the elderly, in warm weather and in urban governorates, and resulted in more hospitalisations, longer hospital stays and higher case fatalities (16.3% vs 6.6%, p < 0.001). Conclusions ARI surveillance in Egypt was successfully adapted to the COVID-19 pandemic and effectively described the clinical characteristics and severity of circulating viruses. Surveillance reported the re-emergence of influenza with a severe course and high fatality. Surveillance is essential for monitoring the activity of respiratory viruses with the aim of guiding clinical management, including preventative and control measures.
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Affiliation(s)
- Manal Fahim
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Hanaa Abu ElSood
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Basma AbdElGawad
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Ola Deghedy
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt,Corresponding author. Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt.
| | - Amel Naguib
- Central Public Health Laboratory, Ministry of Health and Population, Elsheikh Rehan Street, Cairo, Egypt
| | - Wael H. Roshdy
- Central Public Health Laboratory, Ministry of Health and Population, Elsheikh Rehan Street, Cairo, Egypt
| | - Shymaa Showky
- Central Public Health Laboratory, Ministry of Health and Population, Elsheikh Rehan Street, Cairo, Egypt
| | - Reham Kamel
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Nancy Elguindy
- Central Public Health Laboratory, Ministry of Health and Population, Elsheikh Rehan Street, Cairo, Egypt
| | - Mohammad Abdel Fattah
- Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Salma Afifi
- Ministry of Health and Population Consultant, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Amr Kandeel
- Preventive Sector, Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
| | - Khaled Abdelghaffar
- Ministry of Health and Population, 3 Magles ElShaab Street, Kasr Alainy, Cairo, Egypt
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Fahim M, AbdElGawad B, Hassan H, Naguib A, Ahmed E, Afifi S, Abu ElSood H, Mohsen A. Epidemiology and outcome of influenza-associated infections among hospitalized patients with acute respiratory infections, Egypt national surveillance system, 2016-2019. Influenza Other Respir Viruses 2021; 15:589-598. [PMID: 33960675 PMCID: PMC8404058 DOI: 10.1111/irv.12867] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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] [Received: 02/06/2021] [Revised: 03/23/2021] [Accepted: 03/28/2021] [Indexed: 12/22/2022] Open
Abstract
Introduction Egypt has established different types of surveillance systems to monitor influenza activities, early detect outbreaks, and tailor efficient prevention and control strategies. This is the first study to describe epidemiology and outcome of influenza‐associated infections among hospitalized patients using the National Electronic Disease Surveillance System (NEDSS) data, 2016‐2019. Methods Data reported from 284 hospitals all over Egypt were extracted from the NEDSS. Data of hospitalized patients with Acute Respiratory Infections (ARI), 2016‐2019, were included in the analysis. Laboratory testing for influenza by RT‐PCR according to US CDC testing protocol was used to confirm influenza type and subtype. Results Overall 46 417 patients hospitalized with ARI were identified, their mean age was 30.9 ± 26 and 52.9% were males. Among 41 512 (89.4%) laboratory‐tested patients, 7167 (17.3%) were positive for one or more types of influenza viruses. Influenza viruses circulated in all ages and throughout the year, with higher rates in winter, late childhood, and middle ages. Mortality from influenza was significantly higher than other causes of ARIs (5.0% vs 3.8%, P < .001), and it was associated with older ages, December‐May, delay in hospital admission, residence in urban and frontier governorates and infection with A/H1N1 virus. The distribution of influenza subtype by time shows alternate pattern between A/H1N1 and H3N2, each subtype peaks every other year with a high peak of A/H1N1 in 2016. Conclusions The national Egyptian surveillance succeeded to describe the epidemiology of hospitalized patients with ARIs and influenza in Egypt over time. Surveillance with strain‐specific laboratory testing and annual assessment of associated severity might be useful to guide influenza prevention and control strategies including vaccination and case management.
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Affiliation(s)
- Manal Fahim
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Basma AbdElGawad
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Hossam Hassan
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Amel Naguib
- Central Public Health Laboratory, Ministry of Health and Population, Cairo, Egypt
| | - ElSabbah Ahmed
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Salma Afifi
- Ministry of Health and Population Consultant, Cairo, Egypt
| | - Hanaa Abu ElSood
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Amira Mohsen
- Egypt Country Office, World Health Organization, Cairo, Egypt
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AbdElGawad B, Vega T, El Houssinie M, Mohsen A, Fahim M, Abu ElSood H, Jabbour J, Eid A, Refaey S. Evaluating tools to define influenza baseline and threshold values using surveillance data, Egypt, season 2016/17. J Infect Public Health 2019; 13:430-437. [PMID: 31142444 DOI: 10.1016/j.jiph.2019.05.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 04/24/2019] [Accepted: 05/05/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Establishing influenza thresholds and transmission intensity can help evaluate seasonal changes in influenza severity and potential pandemics. We aimed to evaluate the moving epidemic method (MEM) for calculating influenza thresholds for season 2016/17 in Egypt using four parameters, to identify the most useful parameter. Also to measure the agreement between both the country-specific statistical empirical method and World Health Organization method to MEM for determining the length and intensity level of activity of the influenza season. METHODS Routinely epidemiological and laboratory data from sentinel surveillance sites for Severe Acute Respiratory Infection (SARI) and influenza-like illness (ILI) were used for calculating thresholds for seasons between 2010/11 and 2015/16 to test 2016/17 season. The parameters calculated were: screened ILI consultation rate × 1000, screened ILI composite parameter, influenza positivity percentage among sampled SARI cases, and influenza positivity percentage among sampled ILI and SARI cases. These parameters assess seasonality and intensity of influenza activity using the three proposed methods (mentioned above). Agreement between the three methods was done using several approaches. RESULTS The intensity of influenza activity by MEM was lower than the other two methods. Agreement between MEM and each of the other two techniques varied appreciably from good to very good for seasonal duration, and poor to fair for intensity level. In addition, parameters including laboratory data showed a pattern of bi-wave activity; the first wave occurred in winter mostly between epidemiological weeks 39 and 52 and the second occurred in spring mostly between weeks 12 and 17. CONCLUSION Parameters including laboratory data were more useful in defining seasonality of influenza. Further exploration of the MEM model in future seasons may help to provide a more comprehensive understanding of its use and application.
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Affiliation(s)
- Basma AbdElGawad
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt.
| | - Tomás Vega
- Dirección General de Salud Pública, Consejería de Sanidad, Valladolid, Spain
| | - Moustafa El Houssinie
- Community Medicine Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt
| | - Amira Mohsen
- World Health Organization, Egypt Country Office, Cairo, Egypt
| | - Manal Fahim
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Hanaa Abu ElSood
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Jean Jabbour
- World Health Organization, Egypt Country Office, Cairo, Egypt
| | - Alaa Eid
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
| | - Samir Refaey
- Department of Epidemiology and Surveillance, Preventive Sector, Ministry of Health and Population, Cairo, Egypt
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