Space-time analysis of pneumonia hospitalisations in the Netherlands

被引:23
作者
Beninca, Elisa [1 ,2 ]
van Boven, Michiel [1 ]
Hagenaars, Thomas [2 ]
van der Hoek, Wim [1 ]
机构
[1] Natl Inst Publ Hlth & Environm, Ctr Infect Dis Control, Bilthoven, Netherlands
[2] Wageningen Biovet Res, Dept Bacteriol & Epidemiol, Lelystad, Netherlands
来源
PLOS ONE | 2017年 / 12卷 / 07期
关键词
COMMUNITY-ACQUIRED PNEUMONIA; WAVELET ANALYSIS; RESPIRATORY SYMPTOMS; PRIMARY-CARE; SERIES; EPIDEMICS; MORTALITY; DYNAMICS; CLUSTERS; FARMS;
D O I
10.1371/journal.pone.0180797
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Community acquired pneumonia is a major global public health problem. In the Netherlands there are 40,000-50,000 hospital admissions for pneumonia per year. In the large majority of these hospital admissions the etiologic agent is not determined and a real-time surveillance system is lacking. Localised and temporal increases in hospital admissions for pneumonia are therefore only detected retrospectively and the etiologic agents remain unknown. Here, we perform spatio-temporal analyses of pneumonia hospital admission data in the Netherlands. To this end, we scanned for spatial clusters on yearly and seasonal basis, and applied wavelet cluster analysis on the time series of five main regions. The pneumonia hospital admissions show strong clustering in space and time superimposed on a regular yearly cycle with high incidence in winter and low incidence in summer. Cluster analysis reveals a heterogeneous pattern, with most significant clusters occurring in the western, highly urbanised, and in the eastern, intensively farmed, part of the Netherlands. Quantitatively, the relative risk (RR) of the significant clusters for the age-standardised incidence varies from a minimum of 1.2 to a maximum of 2.2. We discuss possible underlying causes for the patterns observed, such as variations in air pollution.
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页数:14
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