Relationship between influenza and dengue outbreaks, and subsequent bacterial sepsis in French Guiana: A time series analysis

被引:1
|
作者
Cropet, Claire [1 ]
Abboud, Philippe [2 ]
Mosnier, Emilie [2 ]
Epelboin, Loic [2 ]
Djossou, Felix [2 ]
Schrooten, Ward [3 ]
Sobesky, Milko [3 ]
Nacher, Mathieu [1 ]
机构
[1] Ctr Invest Clin Antilles Guyane, CIC INSERM 1424, Cayenne, French Guiana
[2] Ctr Hosp Andree Rosemon, Unite Malad Infect & Trop, Cayenne, French Guiana
[3] Ctr Hosp Andree Rosemon, Dept Informat Med, Cayenne, French Guiana
关键词
Influenza; dengue; time series; sepsis; French Guiana;
D O I
10.4081/jphr.2021.1768
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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. Design and Methods: Time series of influenza and dengue surveillance were confronted 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 (beta=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.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [31] The relationship between extreme temperature and emergency incidences: a time series analysis in Shenzhen, China
    Guo, Yinsheng
    Ma, Yue
    Ji, Jiajia
    Liu, Ning
    Zhou, Guohong
    Fang, Daokui
    Huang, Guangwen
    Lan, Tao
    Peng, Chaoqiong
    Yu, Shuyuan
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2018, 25 (36) : 36239 - 36255
  • [32] Time-series analysis of the relationship between air pollution and daily mortality in Beijing
    Pan, X.
    Chang, G.
    Xie, X.
    Tong, S.
    EPIDEMIOLOGY, 2007, 18 (05) : S10 - S11
  • [33] The relationship between the economic cycle and work accidents in the United States: A time series analysis
    -Blanco, Manfred Murrell
    TEC EMPRESARIAL, 2023, 17 (01): : 1 - 17
  • [34] Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between neurodevelopment and complexity
    Janjarasjitt, S.
    Scher, M. S.
    Loparo, K. A.
    CLINICAL NEUROPHYSIOLOGY, 2008, 119 (04) : 822 - 836
  • [35] The Relationship between Income, Consumption and GDP: A Time Series, Cross-Country Analysis
    Diacon, Paula-Elena
    Maha, Liviu-George
    2ND GLOBAL CONFERENCE ON BUSINESS, ECONOMICS, MANAGEMENT AND TOURISM, 2015, 23 : 1535 - 1543
  • [36] RELATIONSHIP BETWEEN WEATHER TEMPERATURE AND MORTALITY - A TIME-SERIES ANALYSIS APPROACH IN BARCELONA
    SAEZ, M
    SUNYER, J
    CASTELLSAGUE, J
    MURILLO, C
    ANTO, JM
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 1995, 24 (03) : 576 - 582
  • [37] TIME SERIES ANALYSIS OF THE RELATIONSHIP BETWEEN MORTALITY AND SELECTED ECONOMIC INDICATORS IN THE CZECH REPUBLIC
    Langhamrova, Jana
    Arltova, Marketa
    9TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2015, : 932 - 940
  • [38] A TIME-SERIES ANALYSIS OF THE RELATIONSHIP BETWEEN INCOME VELOCITY OF MONEY AND THE QUANTITY OF MONEY
    AHKING, FW
    QUARTERLY JOURNAL OF BUSINESS AND ECONOMICS, 1984, 23 (04): : 3 - 12
  • [39] The association between seasonal influenza-like illness cases and foetal death: a time series analysis
    Rasmussen, I. S.
    Mortensen, L. H.
    Krause, T. G.
    Andersen, A-M Nybo
    EPIDEMIOLOGY AND INFECTION, 2019, 147
  • [40] Interdependence between confirmed and discarded cases of dengue, chikungunya and Zika viruses in Brazil: A multivariate time-series analysis
    Oliveira, Juliane F.
    Rodrigues, Moreno S.
    Skalinski, Lacita M.
    Santos, Aline E. S.
    Costa, Larissa C.
    Cardim, Luciana L.
    Paixao, Enny S.
    Costa, Maria da Conceicao N.
    Oliveira, Wanderson K.
    Barreto, Mauricio L.
    Teixeira, Maria Gloria
    Andrade, Roberto F. S.
    PLOS ONE, 2020, 15 (02):