Publications by authors named "Linda Hirons"

West African countries are hit annually by meningitis outbreaks which occur during the dry season and are linked to atmospheric variability. This paper describes an innovative co-production process between the African Centre of Meteorological Applications for Development (ACMAD; forecast producer) and the World Health Organisation Regional Office for Africa (WHO AFRO; forecast user) to support awareness, preparedness and response actions for meningitis outbreaks. Using sub-seasonal to seasonal (S2S) forecasts, this co-production enables ACMAD and WHO AFRO to build initiative that increases the production of useful climate services in the health sector.

View Article and Find Full Text PDF

Understanding the influence of large-scale oceanic and atmospheric variability on rainfall over Ethiopia has huge potential to improve seasonal forecasting and inform crucial water management decisions at local levels, where data is available at appropriate scales for decision makers. In this study, drivers of Ethiopia's main rainy season, July-September (JAS), are investigated using correlation analysis with sea surface temperature (SST). The analysis showed local spatial variations in the drivers of JAS rainfall.

View Article and Find Full Text PDF
Article Synopsis
  • Recent studies have identified highly conserved nongenic sequences (CNGs) and ultraconserved elements (UCEs) in both human and mouse genomes, which are notable for their lack of known function and extreme conservation.
  • An alignment-free approach is necessary for analyzing these sequences due to the absence of detectable homology between similar CNGs and UCEs across the two species.
  • The research utilizes Fourier techniques to examine the structural properties of these sequences based on a database of 32,896 unique DNA octamers, aiming to uncover potential functions through structural correlations.
View Article and Find Full Text PDF
Article Synopsis
  • Structural DNA profiles analyze octamer structures to identify unique characteristics in individual sequences or common patterns in a group of sequences.
  • Profile Manager, a software tool, automates the generation of these profiles to aid in understanding the structural basis behind DNA function.
  • An analysis of two sequences with similar nucleotide compositions but different structures showed useful results that matched experimental nuclear magnetic resonance findings.
View Article and Find Full Text PDF