Seasonal patterns of deaths in Matlab, Bangladesh.
BACKGROUND
Deaths exhibit a seasonal pattern in most parts of the world. Analyses of deaths for the years 1972-1974 from the vital registration system of Matlab, Bangladesh, published in this journal 17 years ago, showed sinusoidal seasonal patterns. As death rates have declined in other nations, the seasonal pattern is attenuated. Death rates have declined substantially in Bangladesh in the past two decades. Thus, the present study examines monthly counts of deaths from Matlab data for a period 15 years later and tests the hypothesis of a decrease or shift in seasonality over time.


METHODS
Trigonometric regression models were fit to monthly data by age and cause of death from the Matlab vital registration system for the years 1982-1990. A total of 20,328 death records were available for analyses.


RESULTS
In the recent period significant sinusoidal seasonal patterns are found in all but one of the age and cause of death groups. Total deaths peak in the winter as do neonatal deaths but post-neonatal and child deaths are maximum in April and July respectively. Among cause groups, injury deaths (mostly attributed to drowning) show the greatest seasonal swing. The time of peak has only shifted for one age group--neonates--since the 1972-1974 period. The magnitude of the seasonal swing has declined significantly only for the neonatal age group and injury cause of death group.


CONCLUSIONS
Marked seasonal patterns of deaths persist in the Matlab area of Bangladesh even as the level of mortality has declined.
Becker
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Department of Population Dynamics, School of Public Health, Johns Hopkins University, Baltimore, MD 21205-2179, USA.
Weng
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D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001459:Bangladesh / Q000453:epidemiology; D002648:Child; D002675:Child, Preschool; D002980:Climate; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D009026:Mortality; D012044:Regression Analysis; D012621:Seasons