Global mapping of infectious disease
The primary aim of this review was to evaluate the state of knowledge of the geographical
distribution of all infectious diseases of clinical significance to humans. A systematic review …
distribution of all infectious diseases of clinical significance to humans. A systematic review …
Geospatial analysis of COVID-19: A scoping review
The outbreak of SARS-CoV-2 in Wuhan, China in late December 2019 became the
harbinger of the COVID-19 pandemic. During the pandemic, geospatial techniques, such as …
harbinger of the COVID-19 pandemic. During the pandemic, geospatial techniques, such as …
COVID-19 case-fatality rate and demographic and socioeconomic influencers: worldwide spatial regression analysis based on country-level data
Y Cao, A Hiyoshi, S Montgomery - BMJ open, 2020 - bmjopen.bmj.com
Objective To investigate the influence of demographic and socioeconomic factors on the
COVID-19 case-fatality rate (CFR) globally. Design Publicly available register-based …
COVID-19 case-fatality rate (CFR) globally. Design Publicly available register-based …
[PDF][PDF] Species distribution modeling and ecological niche modeling: getting the concepts right
AT Peterson, J Soberón - Natureza & Conservação, 2012 - academia.edu
We provide an overview of conceptual considerations in terminology related to ecological
niche modeling and species distribution modeling, two near-synonymous (but not quite) …
niche modeling and species distribution modeling, two near-synonymous (but not quite) …
[图书][B] Principles of geographical information systems
PA Burrough, RA McDonnell, CD Lloyd - 2015 - books.google.com
Geographical data are used in so many aspects of our lives today, ranging from disaster
relief operations through to finding directions on our mobile phones. We can all be data …
relief operations through to finding directions on our mobile phones. We can all be data …
[HTML][HTML] Thirty years of spatial econometrics
L Anselin - Papers in regional science, 2010 - Elsevier
In this paper, I give a personal view on the development of the field of spatial econometrics
during the past 30 years. I argue that it has moved from the margins to the mainstream of …
during the past 30 years. I argue that it has moved from the margins to the mainstream of …
[图书][B] Bayesian disease mapping: hierarchical modeling in spatial epidemiology
AB Lawson - 2018 - taylorfrancis.com
Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …
been developed for space-time data analysis, the predictive modeling of health outcomes …
Spatial autoregressive models for statistical inference from ecological data
Ecological data often exhibit spatial pattern, which can be modeled as autocorrelation.
Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are …
Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are …
Estimating and mapping the population at risk of sleeping sickness
PP Simarro, G Cecchi, JR Franco… - PLoS neglected …, 2012 - journals.plos.org
Background Human African trypanosomiasis (HAT), also known as sleeping sickness,
persists as a public health problem in several sub-Saharan countries. Evidence-based …
persists as a public health problem in several sub-Saharan countries. Evidence-based …
Big data opportunities for global infectious disease surveillance
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