Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis
Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to inf...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Claire Cropet [verfasserIn] Philippe Abboud [verfasserIn] Emilie Mosnier [verfasserIn] Loïc Epelboin [verfasserIn] Félix Djossou [verfasserIn] Ward Schroeten [verfasserIn] Milko Sobesky [verfasserIn] Mathieu Nacher [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Journal of Public Health Research ; 10(2021), 1 volume:10 ; year:2021 ; number:1 |
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| Links: |
Link aufrufen |
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| DOI / URN: |
10.4081/jphr.2021.1768 |
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DOAJ00049917X |
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| 520 | |a Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. | ||
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10.4081/jphr.2021.1768 doi (DE-627)DOAJ00049917X (DE-599)DOAJ08296fb8623c4a25a947a6a80e3ae0ac DE-627 ger DE-627 rakwb eng RA1-1270 Claire Cropet verfasserin aut Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. Influenza dengue time series sepsis French Guiana Public aspects of medicine Philippe Abboud verfasserin aut Emilie Mosnier verfasserin aut Loïc Epelboin verfasserin aut Félix Djossou verfasserin aut Ward Schroeten verfasserin aut Milko Sobesky verfasserin aut Mathieu Nacher verfasserin aut In Journal of Public Health Research 10(2021), 1 volume:10 year:2021 number:1 https://doi.org/10.4081/jphr.2021.1768 kostenfrei https://doaj.org/article/08296fb8623c4a25a947a6a80e3ae0ac kostenfrei https://jphres.org/index.php/jphres/article/view/1768 kostenfrei https://doaj.org/toc/2279-9028 Journal toc kostenfrei https://doaj.org/toc/2279-9036 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 10 2021 1 |
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10.4081/jphr.2021.1768 doi (DE-627)DOAJ00049917X (DE-599)DOAJ08296fb8623c4a25a947a6a80e3ae0ac DE-627 ger DE-627 rakwb eng RA1-1270 Claire Cropet verfasserin aut Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. Influenza dengue time series sepsis French Guiana Public aspects of medicine Philippe Abboud verfasserin aut Emilie Mosnier verfasserin aut Loïc Epelboin verfasserin aut Félix Djossou verfasserin aut Ward Schroeten verfasserin aut Milko Sobesky verfasserin aut Mathieu Nacher verfasserin aut In Journal of Public Health Research 10(2021), 1 volume:10 year:2021 number:1 https://doi.org/10.4081/jphr.2021.1768 kostenfrei https://doaj.org/article/08296fb8623c4a25a947a6a80e3ae0ac kostenfrei https://jphres.org/index.php/jphres/article/view/1768 kostenfrei https://doaj.org/toc/2279-9028 Journal toc kostenfrei https://doaj.org/toc/2279-9036 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 10 2021 1 |
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10.4081/jphr.2021.1768 doi (DE-627)DOAJ00049917X (DE-599)DOAJ08296fb8623c4a25a947a6a80e3ae0ac DE-627 ger DE-627 rakwb eng RA1-1270 Claire Cropet verfasserin aut Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. Influenza dengue time series sepsis French Guiana Public aspects of medicine Philippe Abboud verfasserin aut Emilie Mosnier verfasserin aut Loïc Epelboin verfasserin aut Félix Djossou verfasserin aut Ward Schroeten verfasserin aut Milko Sobesky verfasserin aut Mathieu Nacher verfasserin aut In Journal of Public Health Research 10(2021), 1 volume:10 year:2021 number:1 https://doi.org/10.4081/jphr.2021.1768 kostenfrei https://doaj.org/article/08296fb8623c4a25a947a6a80e3ae0ac kostenfrei https://jphres.org/index.php/jphres/article/view/1768 kostenfrei https://doaj.org/toc/2279-9028 Journal toc kostenfrei https://doaj.org/toc/2279-9036 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 10 2021 1 |
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10.4081/jphr.2021.1768 doi (DE-627)DOAJ00049917X (DE-599)DOAJ08296fb8623c4a25a947a6a80e3ae0ac DE-627 ger DE-627 rakwb eng RA1-1270 Claire Cropet verfasserin aut Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. Influenza dengue time series sepsis French Guiana Public aspects of medicine Philippe Abboud verfasserin aut Emilie Mosnier verfasserin aut Loïc Epelboin verfasserin aut Félix Djossou verfasserin aut Ward Schroeten verfasserin aut Milko Sobesky verfasserin aut Mathieu Nacher verfasserin aut In Journal of Public Health Research 10(2021), 1 volume:10 year:2021 number:1 https://doi.org/10.4081/jphr.2021.1768 kostenfrei https://doaj.org/article/08296fb8623c4a25a947a6a80e3ae0ac kostenfrei https://jphres.org/index.php/jphres/article/view/1768 kostenfrei https://doaj.org/toc/2279-9028 Journal toc kostenfrei https://doaj.org/toc/2279-9036 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 10 2021 1 |
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Claire Cropet Philippe Abboud Emilie Mosnier Loïc Epelboin Félix Djossou Ward Schroeten Milko Sobesky Mathieu Nacher |
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Claire Cropet |
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relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in french guiana: a time series analysis |
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RA1-1270 |
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Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis |
| abstract |
Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. |
| abstractGer |
Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. |
| abstract_unstemmed |
Background: Influenza has been shown to increase the risk for severe bacterial infection, in the tropics the seasonality of influenza epidemics is less marked and this may not be the case. Dengue is often followed by prolonged asthenia and some physicians hypothesized increased susceptibility to infections based on anecdotal observations. Methods: Time series of influenza and dengue surveillance were confronted with bacterial sepsis admissions to test the hypotheses. Monthly surveillance data on influenza and dengue and aggregated sepsis data in Cayenne hospital were matched between 24/10/2007 and 27/09/2016. An ARIMA (1,0,1) model was used. Results: The series of the number of monthly cases of sepsis was positively associated with the monthly number of cases of influenza at time t (β=0.001, p=0.0359). Forecasts were imperfectly correlated with sepsis since influenza is not the only risk factor for sepsis. None of the ARIMA models showed a significant link between the dengue series and the sepsis series. Conclusions: There was thus no link between dengue epidemics and sepsis but it was estimated that for every 1,000 cases of flu there was one additional case of sepsis. In this tropical setting, influenza was highly seasonal, and improved vaccination coverage could have benefits on sepsis. |
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Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: a time series analysis |
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https://doi.org/10.4081/jphr.2021.1768 https://doaj.org/article/08296fb8623c4a25a947a6a80e3ae0ac https://jphres.org/index.php/jphres/article/view/1768 https://doaj.org/toc/2279-9028 https://doaj.org/toc/2279-9036 |
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Philippe Abboud Emilie Mosnier Loïc Epelboin Félix Djossou Ward Schroeten Milko Sobesky Mathieu Nacher |
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