A statistical analysis of the seasonality in pulmonary tuberculosis

Citation
M. Rios et al., A statistical analysis of the seasonality in pulmonary tuberculosis, EUR J EPID, 16(5), 2000, pp. 483-488
Citations number
20
Categorie Soggetti
Envirnomentale Medicine & Public Health","Medical Research General Topics
Journal title
EUROPEAN JOURNAL OF EPIDEMIOLOGY
ISSN journal
03932990 → ACNP
Volume
16
Issue
5
Year of publication
2000
Pages
483 - 488
Database
ISI
SICI code
0393-2990(200005)16:5<483:ASAOTS>2.0.ZU;2-F
Abstract
The present study examines whether pulmonary tuberculosis (PTB) has an annu al seasonal pattern. A mathematical model is also obtained to forecast the pattern of incidence. The data for the study are the cases of PTB reported throughout Spain, published in the Epidemiology Bulletin by the Carlos III Health Center of the Spanish Ministry of Health in a 26-year period, 1971-1 996. The analytical results show that the low rates in tuberculosis notific ations over the period 1971-1981 have changed, halting in 1982 and reversin g with high incidence from 1983 onwards. An annual seasonal pattern was als o shown with higher incidence during summer and autumn. With the mathematic al model we predicted the disease behaviour in 1997 and the results were co mpared to the reported cases. In Spain, as in several industrialised countr ies, the reason for this recent increase in the number of reported cases is , mainly, the human immunodeficiency virus (HIV) infection. The seasonal tr end, with higher incidence in winter, can be attributed to the increase in indoor activities, much more common than in a warm climate. The tubercle ba cilli expelled from infected persons in a room with closed windows may rema in infectious for a long time, increasing the risk of exposure of healthy p ersons to the bacilli. As the preclinical period, from exposure to clinical onset, may be of several weeks, the high incidence in spring would be expl ained. Moreover, in winter and spring the infections of viral aetiology, li ke flu, are more frequent and cause immunological deficiency which is anoth er reason for the seasonal trend observed. An incidence greater than that f oreseen by the mathematical model would express a failure in epidemiologic surveillance, and thus the results of this study may be used to assess a qu ality of the preventive measures.