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Human birth seasonality: latitudinal gradient and interplay with childhood disease dynamics

机译:人类出生的季节性:纬度梯度及其与儿童疾病动力学的相互作用

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摘要

More than a century of ecological studies have demonstrated the importance of demography in shaping spatial and temporal variation in population dynamics. Surprisingly, the impact of seasonal recruitment on infectious disease systems has received much less attention. Here, we present data encompassing 78 years of monthly natality in the USA, and reveal pronounced seasonality in birth rates, with geographical and temporal variation in both the peak birth timing and amplitude. The timing of annual birth pulses followed a latitudinal gradient, with northern states exhibiting spring/summer peaks and southern states exhibiting autumn peaks, a pattern we also observed throughout the Northern Hemisphere. Additionally, the amplitude of United States birth seasonality was more than twofold greater in southern states versus those in the north. Next, we examined the dynamical impact of birth seasonality on childhood disease incidence, using a mechanistic model of measles. Birth seasonality was found to have the potential to alter the magnitude and periodicity of epidemics, with the effect dependent on both birth peak timing and amplitude. In a simulation study, we fitted an susceptible-exposed-infected-recovered model to simulated data, and demonstrated that ignoring birth seasonality can bias the estimation of critical epidemiological parameters. Finally, we carried out statistical inference using historical measles incidence data from New York City. Our analyses did not identify the predicted systematic biases in parameter estimates. This may be owing to the well-known frequency-locking between measles epidemics and seasonal transmission rates, or may arise from substantial uncertainty in multiple model parameters and estimation stochasticity.
机译:超过一个世纪的生态学研究证明了人口统计学在塑造人口动态时空变化中的重要性。令人惊讶的是,季节性募集对传染病系统的影响很少受到关注。在这里,我们提供了涵盖美国78个月每月出生的数据,并揭示了出生率的明显季节性,以及出生高峰时间和振幅的地理和时间变化。年度出生脉冲的时间遵循一个纬度梯度,北部各州呈现出春夏高峰,而南部各州则呈现出秋季高峰,这也是我们在北半球观察到的一种模式。此外,与南部地区相比,南部各州的美国出生季节变化幅度大两倍以上。接下来,我们使用麻疹的机械模型研究了出生季节性对儿童疾病发病率的动态影响。发现出生季节有可能改变流行病的大小和周期性,其影响取决于出生高峰时间和振幅。在模拟研究中,我们将易感暴露-感染-恢复的模型拟合到模拟数据,并证明了忽略出生季节可能会影响关键流行病学参数的估计。最后,我们使用来自纽约市的历史麻疹发病率数据进行了统计推断。我们的分析未确定参数估计中的预测系统偏差。这可能是由于麻疹流行与季节性传播率之间的众所周知的频率锁定,或者可能是由于多个模型参数和估计随机性存在很大的不确定性。

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