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(1 - 20 of 28)
Zika virus : medical countermeasure development challenges
Updated phylogeny of chikungunya virus suggests lineage-specific RNA architecture
Tracking a serial killer : integrating phylogenetic relationships, epidemiology, and geography for two invasive meningococcal disease outbreaks
Tracing origins of the Salmonella bareilly strain causing a food-borne outbreak in the United States
The first complete mitochondrial genome of the sand dollar Sinaechinocyamus mai (Echinoidea: Clypeasteroida)
Sequence-based identification of Anopheles species in eastern Ethiopia
Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
Phylotranscriptomic analysis uncovers a wealth of tissue inhibitor of metalloproteinases variants in echinoderms
Phylogeny of echinoderm hemoglobins
Integration of phylogenomics and molecular modeling reveals lineage-specific diversification of toxins in scorpions
Insecticide resistance in Anopheles stephensi in Somali Region, eastern Ethiopia
Impact of SARS-CoV-2 vaccination of children ages 5-11 years on COVID-19 disease burden and resilience to new variants in the United States, November 2021-March 2022 : A multi-model study
Geographical distribution of Anopheles stephensi in eastern Ethiopia
Genetic diversity of Anopheles stephensi in Ethiopia provides insight into patterns of spread
Fundamentals of genomic epidemiology, lessons learned from the coronavirus disease 2019 (COVID-19) pandemic, and new directions
Fundamental evolution of all Orthocoronavirinae including three deadly lineages descendent from Chiroptera-hosted coronaviruses : SARS-CoV, MERS-CoV and SARS-CoV-2
Four challenges associated with current mathematical modeling paradigm of infectious diseases and call for a shift
First detection of Anopheles stephensi Liston, 1901 (Diptera: culicidae) in Ethiopia using molecular and morphological approaches
FLAVi : an enhanced annotator for viral genomes of Flaviviridae
Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic