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#' Data from first and third COVID-19 waves in Trelew \url{http://tools.wmflabs.org/geohack/geohack.php?language=es&pagename=Trelew¶ms=-43.253333333333_N_-65.309444444444_E_type:city}
#'
#'
#' SNVs inferred from Illumina (2 x 150) sequences from pooled ultra-pure virus
#' concentrates representative of the 1st and 3rd COVID-19 waves in Trelew.
#' Reads were mapped against the Wuhan-Wu-1 reference genome (MN908947.3) by
#' \emph{bwa}, and variants were called with \emph{iVar} with a 3% frequency
#' cutoff for minor variants.
#' First wave cases were caused by ancestral strains whereas third wave cases
#' were mainly due to highly human-adapted Omicron sublineages.
#'
#' @source
#' Manrique, Julieta Marina, and Leandro Roberto Jones. 2025. A
#' Cost-Effective Wastewater-Based Workflow for Community-Level Insights into
#' SARS-CoV-2 Evolution. Unpublished 0 (0): 000-000.
#'
"wWater"
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