SARS-CoV-2 is responsible for the devastating COVID-19 pandemic, varying in degree of impact depending on geographic location. The inherently high viral mutation rate along with the large scale of viral replication across human populations has resulted in the evolution of multiple strains over time. Recently, some mutations have been identified as functionally relevant, associated with disease severity and mortality rates. I will characterize viral haplotypes via Single Nucleotide Polymorphisms (SNPs) at genomic regions with high frequencies of mutation. I will conduct a genotype analysis of SARS-CoV-2 strains (downloaded from GenBank/GISAID) following alignment and construction of a minimum spanning haplotype network using Arlequin and PopArt software. By conducting a survey of the haplotype prevalence in localities with varying levels of mortality, I can search for links between viral strain and host survival. Furthermore, the SNPs associated with each haplotype can be explored for potential functional changes that occur in the proteins coded at those genomic regions. I will examine SNPs of key functional proteins, such as those required for host entry and replication, for links to structural differences that may confer some type of viral advantage.