Abstract:
Background: Weather and climate changes are associated with a number of immediate and long-term
impacts on human health that occur directly or indirectly, through mediating variables. Few studies to
date have established the empirical relationship between monthly weather and mortality in sub-Saharan
Africa.
Objectives: The objectives of this study were to assess the association between monthly weather (temperature
and rainfall) on all-cause mortality by age in Rufiji, Tanzania, and to determine the differential susceptibility
by age groups.
Methods: We used mortality data from Rufiji Health and Demographic Surveillance System (RHDSS) for
the period 1999 to 2010. Time-series Poisson regression models were used to estimate the association between
monthly weather and mortality adjusted for long-term trends. We used a distributed lag model to estimate the
delayed association of monthly weather on mortality. We stratified the analyses per age group to assess
susceptibility.
Results: In general, rainfall was found to have a stronger association in the age group 0 4 years (RR 1.001,
95% CI 0.961 1.041) in both short and long lag times, with an overall increase of 1.4% in mortality risk for
a 10 mm rise in rainfall. On the other hand, monthly average temperature had a stronger association with
death in all ages while mortality increased with falling monthly temperature. The association per age group
was estimated as: age group 0 4 (RR 0.934, 95% CI 0.894 0.974), age group 5 59 (RR 0.956, 95%
CI 0.928 0.985) and age group over 60 (RR 0.946, 95% CI 0.912 0.979). The age group 5 59
experienced more delayed lag associations. This suggests that children and older adults are most sensitive to
weather related mortality.
Conclusion: These results suggest that an early alert system based on monthly weather information may be
useful for disease control management, to reduce and prevent fatal effects related to weather and monthly
weather.
