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Excess Invasive Meningococcal Disease Associated With Seasonal Influenza, South Africa, 2003-2018.
Meiring, Susan; Tempia, Stefano; Dominic, Emanuel M; de Gouveia, Linda; McAnerney, Jo; von Gottberg, Anne; Cohen, Cheryl.
  • Meiring S; Division of Public Health Surveillance and Response, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
  • Tempia S; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
  • Dominic EM; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
  • de Gouveia L; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
  • McAnerney J; South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, South Africa.
  • von Gottberg A; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
  • Cohen C; Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases, a Division of the National Health Laboratory Service, Johannesburg, South Africa.
Clin Infect Dis ; 74(10): 1729-1735, 2022 05 30.
Article in English | MEDLINE | ID: covidwho-1703598
ABSTRACT

BACKGROUND:

Invasive meningococcal disease (IMD) is a devastating illness with high mortality rates. Like influenza, endemic IMD is seasonal, peaking in winter. Studies suggest that circulation of influenza virus may influence the timing and magnitude of IMD winter peaks.

METHODS:

This ecological study used weekly data from 2 nationwide surveillance programs Viral Watch (proportion of outpatient influenza-positive cases from throat or nasal swab samples) and GERMS-SA (laboratory-confirmed cases of IMD), occurring across South Africa from 2003 through 2018 in all age bands. A bivariate time series analysis using wavelet transform was conducted to determine cocirculation of the diseases and the time lag between the peak seasons. We modeled excess meningococcal disease cases attributable to influenza cocirculation, using univariate regression spline models. Stata and R statistical software packages were used for the analysis.

RESULTS:

A total of 5256 laboratory-confirmed IMD cases were reported, with an average annual incidence of 0.23 episodes per 100 000 population and a mean seasonal peak during week 32 (±3 weeks). Forty-two percent of swab samples (10 421 of 24 741) were positive for influenza during the study period. The mean peak for all influenza occurred at week 26 (±4 weeks). There was an average lag time of 5 weeks between annual influenza and IMD seasons. Overall, 5% (1%-9%) of IMD cases can be attributable to influenza cocirculation, with, on average, 17 excess IMD cases per year attributable to influenza.

CONCLUSIONS:

A quantifiable proportion of IMD in South Africa is associated with influenza cocirculation; therefore, seasonal influenza vaccination may have an effect on preventing a small portion of IMD in addition to preventing influenza.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Meningococcal Vaccines / Influenza, Human / Meningococcal Infections / Neisseria meningitidis Type of study: Experimental Studies / Observational study Topics: Long Covid / Vaccines Limits: Humans Country/Region as subject: Africa Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: Cid

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Meningococcal Vaccines / Influenza, Human / Meningococcal Infections / Neisseria meningitidis Type of study: Experimental Studies / Observational study Topics: Long Covid / Vaccines Limits: Humans Country/Region as subject: Africa Language: English Journal: Clin Infect Dis Journal subject: Communicable Diseases Year: 2022 Document Type: Article Affiliation country: Cid