Schlüter Benjamin-Samuel, Masquelier Bruno, Metcalf C Jessica E, Rasoanomenjanahary Anjarasoa
Center for Demographic Research (DEMO), Université Catholique De Louvain (UCL), Louvain-la-Neuve, Belgium.
French Institute for Demographic Studies, Paris, France.
Glob Health Action. 2020;13(1):1717411. doi: 10.1080/16549716.2020.1717411.
Seasonal patterns of mortality have been identified in Sub-Saharan Africa but their changes over time are not well documented. Based on death notification data from Antananarivo, the capital city of Madagascar, this study assesses seasonal patterns of all-cause and cause-specific mortality by age groups and evaluates how these patterns changed over the period 1976-2015. Monthly numbers of deaths by cause were obtained from death registers maintained by the Municipal Hygiene Office in charge of verifying deaths before the issuance of burial permits. Generalized Additive Mixed regression models (GAMM) were used to test for seasonality in mortality and its changes over the last four decades, controlling for long-term trends in mortality. Among children, risks of dying were the highest during the hot and rainy season, but seasonality in child mortality has significantly declined since the mid-1970s, as a result of declines in the burden of infectious diseases and nutritional deficiencies. In adults aged 60 and above, all-cause mortality rates are the highest in the dry and cold season, due to peaks in cardiovascular diseases, with little change over time. Overall, changes in the seasonality of all-cause mortality have been driven by shifts in the hierarchy of causes of death, while changes in the seasonality within broad categories of causes of death have been modest.: Shifts in disease patterns brought about by the epidemiological transition, rather than changes in seasonal variation in cause-specific mortality, are the main drivers of trends in the seasonality of all-cause mortality.
撒哈拉以南非洲地区已发现季节性死亡模式,但随着时间推移其变化情况记录并不完善。基于马达加斯加首都塔那那利佛的死亡通报数据,本研究评估了各年龄组全因死亡率和特定病因死亡率的季节性模式,并评估了这些模式在1976 - 2015年期间是如何变化的。按病因划分的每月死亡人数来自市卫生办公室维护的死亡登记册,该办公室负责在发放埋葬许可证之前核实死亡情况。广义相加混合回归模型(GAMM)用于检验死亡率的季节性及其在过去四十年中的变化,同时控制死亡率的长期趋势。在儿童中,死亡风险在炎热多雨季节最高,但自20世纪70年代中期以来,由于传染病负担和营养缺乏症的下降,儿童死亡率的季节性显著下降。在60岁及以上的成年人中,由于心血管疾病的高峰,全因死亡率在干冷季节最高,且随时间变化不大。总体而言,全因死亡率季节性的变化是由死因等级的变化驱动的,而死因大类内季节性的变化则较小:流行病学转变带来的疾病模式变化,而非特定病因死亡率季节性变化,是全因死亡率季节性趋势的主要驱动因素。