Space–time airborne disease mapping applied to detect specific behaviour of varicella in Valencia, Spain

Iftimi, Adina; Montes, Francisco; Santiyán, Ana Míguez; Martínez-Ruiz, Francisco

doi:10.1016/j.sste.2015.07.001

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…The application of spatio-temporal study methods has proven to be ideal to optimize the observation of epidemics behavior, using an information exchange based on the influence of location proximity and time closeness [ 10 ]. These methods have been deemed essential to describe the spread and to make decisions about the mitigation of the pandemic [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

A Bayesian spatio-temporal analysis of mortality rates in Spain: application to the COVID-19 2020 outbreak

Saavedra

Santana

Bello

et al. 2021

Popul Health Metrics

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Background The number of deaths attributable to COVID-19 in Spain has been highly controversial since it is problematic to tell apart deaths having COVID as the main cause from those provoked by the aggravation by the viral infection of other underlying health problems. In addition, overburdening of health system led to an increase in mortality due to the scarcity of adequate medical care, at the same time confinement measures could have contributed to the decrease in mortality from certain causes. Our aim is to compare the number of deaths observed in 2020 with the projection for the same period obtained from a sequence of previous years. Thus, this computed mortality excess could be considered as the real impact of the COVID-19 on the mortality rates. Methods The population was split into four age groups, namely: (< 50; 50–64; 65–74; 75 and over). For each one, a projection of the death numbers for the year 2020, based on the interval 2008–2020, was estimated using a Bayesian spatio-temporal model. In each one, spatial, sex, and year effects were included. In addition, a specific effect of the year 2020 was added ("outbreak"). Finally, the excess deaths in year 2020 were estimated as the count of observed deaths minus those projected. Results The projected death number for 2020 was 426,970 people, the actual count being 499,104; thus, the total excess of deaths was 72,134. However, this increase was very unequally distributed over the Spanish regions. Conclusion Bayesian spatio-temporal models have proved to be a useful tool for estimating the impact of COVID-19 on mortality in Spain in 2020, making it possible to assess how the disease has affected different age groups accounting for effects of sex, spatial variation between regions and time trend over the last few years.

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Section: Introductionmentioning

confidence: 99%

A Bayesian spatio-temporal analysis of mortality rates in Spain: application to the COVID-19 2020 outbreak

Saavedra

Santana

Bello

et al. 2021

Popul Health Metrics

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Measuring spatial inhomogeneity at different spatial scales using hybrids of Gibbs point process models

Iftimi

Montes

Mateu

et al. 2016

Stoch Environ Res Risk Assess

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Registro de acceso restringido Este recurso no está disponible en acceso abierto por política de la editorial. No obstante, se puede acceder al texto completo desde la Universitat Jaume I o si el usuario cuenta con suscripción. Registre d'accés restringit Aquest recurs no està disponible en accés obert per política de l'editorial. No obstant això, es pot accedir al text complet des de la Universitat Jaume I o si l'usuari compta amb subscripció. Restricted access item This item isn't open access because of publisher's policy. The full--text version is only available from Jaume I University or if the user has a running suscription to the publisher's contents.

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Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

Quesada-Ruiz

Rodríguez-Galiano

Zurita-Milla

et al. 2022

International Journal of Geographical Information Science

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Space–time airborne disease mapping applied to detect specific behaviour of varicella in Valencia, Spain

Cited by 4 publications

References 22 publications

A Bayesian spatio-temporal analysis of mortality rates in Spain: application to the COVID-19 2020 outbreak

A Bayesian spatio-temporal analysis of mortality rates in Spain: application to the COVID-19 2020 outbreak

Measuring spatial inhomogeneity at different spatial scales using hybrids of Gibbs point process models

Area and Feature Guided Regularised Random Forest: a novel method for predictive modelling of binary phenomena. The case of illegal landfill in Canary Island

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