Herramientas espaciales para la mejora de la gestión de la información en alerta sanitaria por COVID-19

Antón, María Zúñiga; Campos, Alfredo; Vidal, Raúl Postigo

doi:10.26754/ojs_geoph/geoph.2020725005

Cited by 7 publications

(7 citation statements)

References 1 publication

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“…Depending on availability and access permissions it is possible to obtain a wide range of research datasets to analyse the distribution of the virus. Some authors analyse the distribution of COVID-19 on intraurban scales in relation to other co-morbidity-related variables (Zúñiga et al, 2020;Mansour et al, 2021). This is an interesting approach, but in our case we do not have access to comorbidity data on our scale of analysis.…”

Section: Discussionmentioning

confidence: 99%

Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic

Guerra

Salcines

Cantarero

2021

BAGE

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A geographic perspective is essential in tackling COVID-19. This research study is framed in the collaboration project set up by the University of Cantabria, the Valdecilla Hospital Research Institute (IDIVAL) and the Regional Government of Cantabria. The case study is the Santander functional urban area (FUA), which is considered from a multi-scale perspective. The main source is the daily records of micro-data on COVID-19 cases and the methodology is based on ESRI geo-technologies, and more specifically on a tool called SITAR (a Spanish acronym which stands for Fast-Action Territorial Information System). The main goal is to analyse and contribute to knowledge of the spatial patterns of COVID-19 at neighbourhood level from a space-time perspective. To that end the research is based on data mining methods (3D bins and emerging hot-spots) and exploratory geo-statistical analysis (Global Moran’s Index, Nearest Neighbourhood and Ordinary Least Square analyses, among others). The study identifies space-time patterns that show significant hot-spots and demonstrates a high presence of the virus at building level in neighbourhoods where residential and economic uses are mixed. Knowing the spatial behaviour of the virus is strategically important for proposing geo-prevention keys, reducing spread and balancing trade-offs between potential health gains and economic burdens resulting from interventions to deal with the pandemic.

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Section: Discussionmentioning

confidence: 99%

Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic

Guerra

Salcines

Cantarero

2021

BAGE

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“…WebGIS platforms for the dissemination of information to the public and data accessibility have already been addressed in other previous works (Boulos & Geraghty, 2020;Franch-Pardo et al, 2020;Koller et al, 2020;Zúñiga et al, 2020). Some papers explain the technical operations of the web platform (Ghilardi et al, 2020;Graves & He, 2020;Hohl, Delmelle, Desjardins, & Lan, 2020;Mooney et al, 2020;Peddireddy et al, 2020;Sarfo & Karuppannan, 2020).…”

Section: Web Mapsmentioning

confidence: 95%

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

Franch-Pardo

Desjardins

Barea-Navarro

et al. 2021

Transactions in GIS

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COVID‐19 has infected over 163 million people and has resulted in over 3.9 million deaths. Regarding the tools and strategies to research the ongoing pandemic, spatial analysis has been increasingly utilized to study the impacts of COVID‐19. This article provides a review of 221 scientific articles that used spatial science to study the pandemic published from June 2020 to December 2020. The main objectives are: to identify the tools and techniques used by the authors; to review the subjects addressed and their disciplines; and to classify the studies based on their applications. This contribution will facilitate comparisons with the body of work published during the first half of 2020, revealing the evolution of the COVID‐19 phenomenon through the lens of spatial analysis. Our results show that there was an increase in the use of both spatial statistical tools (e.g., geographically weighted regression, Bayesian models, spatial regression) applied to socioeconomic variables and analysis at finer spatial and temporal scales. We found an increase in remote sensing approaches, which are now widely applied in studies around the world. Lockdowns and associated changes in human mobility have been extensively examined using spatiotemporal techniques. Another dominant topic studied has been the relationship between pollution and COVID‐19 dynamics, which enhance the impact of human activities on the pandemic's evolution. This represents a shift from the first half of 2020, when the research focused on climatic and weather factors. Overall, we have seen a vast increase in spatial tools and techniques to study COVID‐19 transmission and the associated risk factors.

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“…During this time, most of the universities involved set up platforms to disseminate the mapping obtained on network channels (websites, social networks and other repositories). In the last months, their results have been disseminated, in many cases as a consequence of the integration of collaboration networks among different entities (Zuñiga, Pueyo & Postigo, 2020).…”

Section: Mapping Covid-19 In Spain: Geographic Contributions From Universitiesmentioning

confidence: 99%

Cartographies on COVID-19 and functional divisions of the territory: an analysis on the evolution of the pandemic based on Basic Health Areas (BHA) in Castile and Leon (Spain)

López

Luque

Arnáiz

2021

BAGE

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In the face of the confusion and uncertainty that COVID-19 has caused over the last year, Geography has proven to be a useful aid in the interpretation of the spatial dynamics that explain the transmission of the virus. Applied cartography and GIS analysis of epidemiological data have been consolidated as essential tools for interpreting the health crisis. This paper explores the usefulness of maps for the study of the evolution of the pandemic in Castile and Leon, one of the Spanish regions with the highest levels of infection and mortality. Based on the statistical variables of sick and dead people at the scale of the Basic Health Area (BHA), a first analytical approach is carried out by means of a sequence of dynamic maps during the first wave. Afterwards, a systematic study is carried out using thematic mapping for the period of the three waves, a period between March 2020 and March 2021. The analysis unravels the differential impact of the disease between rural and urban areas and reveals the problems of the mismatch between the functional divisions of the territory (BHA, as units of health analysis) and the scale of administrative management (municipalities, as the effective scale of action).

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Herramientas espaciales para la mejora de la gestión de la información en alerta sanitaria por COVID-19

Cited by 7 publications

References 1 publication

Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic

Data mining and socio-spatial patterns of COVID-19: geo-prevention keys for tackling the pandemic

A review of GIS methodologies to analyze the dynamics of COVID‐19 in the second half of 2020

Cartographies on COVID-19 and functional divisions of the territory: an analysis on the evolution of the pandemic based on Basic Health Areas (BHA) in Castile and Leon (Spain)

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