COVID-19 Heterogeneity in Islands Chain Environment

Abstract

As 2021 dawns, the COVID-19 pandemic is still raging strongly as vaccines finally appear and hopes for a return to normalcy start to materialize. There is much to be learned from the pandemic's first year data that will likely remain applicable to future epidemics and possible pandemics. With only minor variants in virus strain, countries across the globe have suffered roughly the same pandemic by first glance, yet few locations exhibit the same patterns of viral spread, growth, and control as the state of Hawai'i. In this paper, we examine the data and compare the COVID-19 spread statistics between the counties of Hawai'i as well as examine several locations with similar properties to Hawai'i.

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• Waste Not, Want Not: Why Rarefying Microbiome Data is Inadmissible
• The challenges of modeling and forecasting the spread of COVID-19
• Spatial Heterogeneity Can Lead to Substantial Local Variations in COVID-19 Timing and Severity
• DCMD: Distance-based Classification Using Mixture Distributions on Microbiome Data

Cited by in corpus (1)

• A look at endemic equilibria of compartmental epidemiological models and model control via vaccination and mitigation