Wavelet analysis is a powerful tool that is already in use throughout science and engineering.
The versatility and attractiveness of the wavelet approach lie in its decomposition …

In the current context of global infectious disease risks, a better understanding of the
dynamics of major epidemics is urgently needed. Time-series analysis has appeared as an …

The population cycles of rodents at northern latitudes have puzzled people for centuries 1 ,
2 , and their impact is manifest throughout the alpine ecosystem 2 , 3 . Climate change is …

Background Several factors, including environmental and climatic factors, influence the
transmission of vector-borne diseases. Nevertheless, the identification and relative importance of …

Background The COVID-19 pandemic has resulted in unprecedented disruption to society,
which indirectly affects infectious disease dynamics. We aimed to assess the effects of COVID…

The importance of spatial heterogeneity and spatial scales (at a village or neighbourhood
scale) has been explored with individual-based models. Our reasoning is based on the …

The spatial spread of the highly pathogenic avian influenza virus H5N1 and its long-term
persistence in Asia have resulted in avian influenza panzootics and enormous economic …

The long-term patterns of malaria in the East African highlands typically involve not only a
general upward trend in cases but also a dramatic increase in the size of epidemic outbreaks. …

In nature, non-stationarity is rather typical, but the number of statistical tools allowing for non-stationarity
remains rather limited. Wavelet analysis is such a tool allowing for non-…

It is becoming increasingly clear that global warming is taking place; however, its long-term
effects on biological populations are largely unknown due to lack of long-term data. Here, we …