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Akarshan Sajja

Dados Biográficos

ID1688320
NOMEAkarshan Sajja
PRENOMESAkarshan
SOBRENOMESajja
ASSINATURASAJJA A
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H0
  • Understanding the Spatial Patchwork of Predictive Modeling of First Wave Pandemic Decisions by Us Governors

    Open Access•Patricia Solís, Gautam Dasarathy et al.•ARTICLE•Geographical Review•2021•Referências: 67

    The uneven outcomes of the covid-19 pandemic in the United States can be characterized by its patchwork patterns. Given a weak national coordinated response, state-level decisions offer an important frame for analysis. This article explores how such analysis invokes fundamental geographic challenges related to the modified areal unit problem, and results in scientific predictive models that behave differently in different states. We examined morb…

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  • Understanding the Spatial Patchwork of Predictive Modeling of First Wave Pandemic Decisions by Us Governors

    Open Access•Patricia Solís, Gautam Dasarathy et al.•ARTICLE•Geographical Review•2021•Referências: 67

    The uneven outcomes of the covid-19 pandemic in the United States can be characterized by its patchwork patterns. Given a weak national coordinated response, state-level decisions offer an important frame for analysis. This article explores how such analysis invokes fundamental geographic challenges related to the modified areal unit problem, and results in scientific predictive models that behave differently in different states. We examined morb…

Accountability (1 obras) · Computer Science (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · COVID-19 epidemiological studies (1 obras) · Data science (1 obras) · Data-Driven Disease Surveillance (1 obras) · Economics (1 obras) · Law (1 obras) · Law (1 obras) · Management science (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae