Influenza A and B epidemic criteria based on time-series analysis of health services surveillance data

被引:49
作者
Quenel, P [1 ]
Dab, W [1 ]
机构
[1] Reseau Natl Sante Publ, F-94415 St Maurice, France
关键词
epidemics; health services-based indicators; influenza; public health surveillance; time-series analysis;
D O I
10.1023/A:1007467814485
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Many countries now have epidemiological surveillance systems using health services-based indicators that allow detection of influenza epidemics. However, there is no accepted criterion for defining an influenza epidemic. An epidemic criterion has been developed, based on a time-series analysis of health services-based indicators collected on a weekly basis by a surveillance network implemented in the Paris region since 1984: the Groupe Regional d'Observation de la Grippe (GROG). For each new season, an epidemic threshold is independently defined for each health services-based indicator as the upper limit of the one-sided confidence interval of the expected value calculated from the weekly differences between the observed number of events and those predicted by a SARIMA model fitted on the non-epidemic.data of previous seasons. Epidemic criteria for influenza A and B are then defined from the combination of both viral indicators and epidemic thresholds of individual health services-based indicators. Among health indicators, sick-leave data collected from GP's or the Health Insurance system, emergency home medical visits, and influenza-like-illness reported by GP's are the most sensitive indicators for the early recognition of epidemics. The exceeding of the above mentioned thresholds combined with virological data allows the specific detection of influenza A or B epidemics. This time-series method of analysing surveillance data provides early and reliable recognition of these epidemics.
引用
收藏
页码:275 / 285
页数:11
相关论文
共 29 条
[1]  
Akaike H, 1978, STATISTICIAN, V27, P215
[2]  
[Anonymous], 1976, TIME SERIES ANAL
[3]  
Buffington J, 1993, Arch Fam Med, V2, P859, DOI 10.1001/archfami.2.8.859
[4]  
CAMPBELL DM, 1988, J ROY COLL GEN PRACT, V38, P418
[5]   BOX-JENKINS SEASONAL FORECASTING - PROBLEMS IN A CASE-STUDY [J].
CHATFIEL.C ;
PROTHERO, DL .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 1973, 136 :295-336
[6]   AN EVALUATION OF INFLUENZA MORTALITY SURVEILLANCE, 1962-1979 .2. PERCENTAGE OF PNEUMONIA AND INFLUENZA DEATHS AS AN INDICATOR OF INFLUENZA ACTIVITY [J].
CHOI, K ;
THACKER, SB .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1981, 113 (03) :227-235
[7]   IMPROVED ACCURACY AND SPECIFICITY OF FORECASTING DEATHS ATTRIBUTED TO PNEUMONIA AND INFLUENZA [J].
CHOI, K ;
THACKER, SB .
JOURNAL OF INFECTIOUS DISEASES, 1981, 144 (06) :606-608
[8]   AN EVALUATION OF INFLUENZA MORTALITY SURVEILLANCE, 1962-1979 .1. TIME-SERIES FORECASTS OF EXPECTED PNEUMONIA AND INFLUENZA DEATHS [J].
CHOI, K ;
THACKER, SB .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1981, 113 (03) :215-226
[9]   A ROUTINE TOOL FOR DETECTION AND ASSESSMENT OF EPIDEMICS OF INFLUENZA-LIKE SYNDROMES IN FRANCE [J].
COSTAGLIOLA, D ;
FLAHAULT, A ;
GALINEC, D ;
GARNERIN, P ;
MENARES, J ;
VALLERON, AJ .
AMERICAN JOURNAL OF PUBLIC HEALTH, 1991, 81 (01) :97-99
[10]  
DAB W, 1991, EUR J EPIDEMIOL, V7, P579, DOI 10.1007/BF00218667