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Disease Diffusion Modelling to Understand the Sources and Transmission Dynamics of COVID-19 in Toronto and Classification of the Risk Areas for Prioritization

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Current and Future Spatiotemporal Patterns of Lyme Disease Reporting in the Northeastern United States
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Diffusion and prediction of Leishmaniasis in a large metropolitan area in Brazil with a Bayesian space–time model
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Space-time clusters and co-occurrence of chikungunya and dengue fever in Colombia from 2015 to 2016
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Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters
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Dengue disease outbreak definitions are implicitly variable
inferredcites →https://doi.org/10.1016/j.scitotenv.2012.08.033openalex-extracted
Environmental surveillance of norovirus in Argentina revealed distinct viral diversity patterns, seasonality and spatio-temporal diffusion processes
inferredcites →https://doi.org/10.1016/s2468-2667(20)30308-xopenalex-extracted
Quarantine and testing strategies in contact tracing for SARS-CoV-2: a modelling study
inferredcites →https://doi.org/10.1073/pnas.1708856115openalex-extracted
Forecasting the spatial transmission of influenza in the United States
inferredcites →https://doi.org/10.1093/aje/kwy209openalex-extracted
Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India
inferredcites →https://doi.org/10.1093/cid/ciaa227openalex-extracted
Diagnosis and Management of First Case of COVID-19 in Canada: Lessons Applied From SARS-CoV-1
inferredcites →https://doi.org/10.1101/2020.06.08.20125211openalex-extracted
inferredcites →https://doi.org/10.1109/cssr.2010.5773800openalex-extracted
Spatial mapping of temporal risk characteristic of dengue cases in Subang Jaya
inferredcites →https://doi.org/10.1111/jrh.12486openalex-extracted
Progression of COVID‐19 From Urban to Rural Areas in the United States: A Spatiotemporal Analysis of Prevalence Rates
inferredcites →https://doi.org/10.1111/tbed.13973openalex-extracted
Geospatial dynamics of COVID‐19 clusters and hotspots in Bangladesh
inferredcites →https://doi.org/10.1186/1471-2458-13-607openalex-extracted
Sharing experiences: towards an evidence based model of dengue surveillance and outbreak response in Latin America and Asia
inferredcites →https://doi.org/10.1186/s12879-020-05145-wopenalex-extracted
Spatio-temporal variation of malaria hotspots in Central Senegal, 2008–2012
inferredcites →https://doi.org/10.1186/s12889-021-10850-5openalex-extracted
Comparing malaria early detection methods in a declining transmission setting in northwestern Ethiopia
inferredcites →https://doi.org/10.1371/journal.pntd.0008227openalex-extracted
Identification of cholera hotspots in Zambia: A spatiotemporal analysis of cholera data from 2008 to 2017
inferredcites →https://doi.org/10.1371/journal.pone.0240286openalex-extracted
Estimating weekly excess mortality at sub-national level in Italy during the COVID-19 pandemic
inferredcites →https://doi.org/10.15446/revfacmed.v69n1.86476openalex-extracted
Spatial and spatiotemporal clustering of the COVID-19 pandemic in Ecuador
inferredcites →https://doi.org/10.21203/rs.2.11659/v3openalex-extracted
inferredcites →https://doi.org/10.2307/143143openalex-extracted
The Shape of Diffusion in Space and Time
inferredcites →https://doi.org/10.23750/abm.v91i1.9397openalex-extracted
WHO Declares COVID-19 a Pandemic.
inferredcites →https://doi.org/10.3390/ijgi9110639openalex-extracted
Mapping Spatiotemporal Diffusion of COVID-19 in Lombardy (Italy) on the Base of Emergency Medical Services Activities
inferredcites →https://doi.org/10.3390/su13020498openalex-extracted
COVID-19 in Toronto: A Spatial Exploratory Analysis
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