{"id":2818,"date":"2023-06-12T23:42:36","date_gmt":"2023-06-12T22:42:36","guid":{"rendered":"https:\/\/archive.belbi.bg.ac.rs\/2023\/?post_type=abstract&#038;p=2818"},"modified":"2023-06-14T18:37:24","modified_gmt":"2023-06-14T17:37:24","slug":"inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series","status":"publish","type":"abstract","link":"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/","title":{"rendered":"Inverting convolutional neural networks for super-resolution identification of regime changes in epidemiological time series"},"content":{"rendered":"\n<p>Jose M. G. Vilar<sup>1,2<\/sup><\/p>\n\n\n\n<p class=\"affiliation-para\"><sup>1<\/sup>Biofisika Institute (CSIC, UPV\/EHU), University of the Basque Country (UPV\/EHU), P.O. Box 644, 48080 Bilbao, Spain<\/p>\n\n\n\n<p class=\"affiliation-para\"><sup>2<\/sup>IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain<\/p>\n\n\n\n<p>j.vilar [at] ikerbasque.org<\/p>\n\n\n\n<p><strong>Abstract<\/strong><\/p>\n\n\n\n<p class=\"abstract-para\">Inferring the timing and amplitude of perturbations in epidemiological systems from their stochastically spread low-resolution outcomes is as relevant as challenging. It is a requirement for current approaches to overcome the need to know the details of the perturbations to proceed with the analyses. However, the general problem of connecting epidemiological curves with the underlying incidence lacks the highly effective methodology present in other inverse problems, such as super-resolution and dehazing from machine vision. I will present an unsupervised physics-informed convolutional neural network approach in reverse to connect death records with an incidence that allows the identification of regime changes at a single-day resolution. Applied to COVID-19 data with proper regularization and model-selection criteria, the approach can identify the implementation and removal of lockdowns and other nonpharmaceutical interventions with \u00b1 0.9-day accuracy over the span of a year. <\/p>\n\n\n\n<p class=\"abstract-para\"><strong>Keywords:<\/strong> bioinformatics, physics-informed neural networks, epidemiology <\/p>\n\n\n\n<p class=\"abstract-para\"><strong>Acknowledgement:<\/strong> J.M.G.V. acknowledges support from Ministerio de Ciencia e Innovacion under grants PGC2018-101282-B-I00 and PID2021-128850NB-I00 (MCI\/AEI\/FEDER, UE).<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jose M. G. Vilar<sup>1,2<\/sup><\/p>\n<p class=\"affiliation-para\"><sup>1<\/sup>Biofisika Institute (CSIC, UPV\/EHU), University of the Basque Country (UPV\/EHU), P.O. Box 644, 48080 Bilbao, Spain<\/p>\n<p class=\"affiliation-para\"><sup>2<\/sup>IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":162,"featured_media":0,"template":"","categories":[17],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Inverting convolutional neural networks for super-resolution identification of regime changes in epidemiological time series - BelBi 2023<\/title>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Inverting convolutional neural networks for super-resolution identification of regime changes in epidemiological time series - BelBi 2023\" \/>\n<meta property=\"og:description\" content=\"Jose M. G. Vilar1,21Biofisika Institute (CSIC, UPV\/EHU), University of the Basque Country (UPV\/EHU), P.O. 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G. Vilar1,21Biofisika Institute (CSIC, UPV\/EHU), University of the Basque Country (UPV\/EHU), P.O. Box 644, 48080 Bilbao, Spain2IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain Continue reading","og_url":"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/","og_site_name":"BelBi 2023","article_modified_time":"2023-06-14T17:37:24+00:00","twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/","url":"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/","name":"Inverting convolutional neural networks for super-resolution identification of regime changes in epidemiological time series - BelBi 2023","isPartOf":{"@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/#website"},"datePublished":"2023-06-12T22:42:36+00:00","dateModified":"2023-06-14T17:37:24+00:00","breadcrumb":{"@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/abstract\/inverting-convolutional-neural-networks-for-super-resolution-identification-of-regime-changes-in-epidemiological-time-series\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/archive.belbi.bg.ac.rs\/2023\/"},{"@type":"ListItem","position":2,"name":"Inverting convolutional neural networks for super-resolution identification of regime changes in epidemiological time series"}]},{"@type":"WebSite","@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/#website","url":"https:\/\/archive.belbi.bg.ac.rs\/2023\/","name":"BelBi 2023","description":"","publisher":{"@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/archive.belbi.bg.ac.rs\/2023\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/#organization","name":"Belgrade Bioinformatics Conference","url":"https:\/\/archive.belbi.bg.ac.rs\/2023\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/#\/schema\/logo\/image\/","url":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-content\/uploads\/2023\/02\/145_97_171.png","contentUrl":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-content\/uploads\/2023\/02\/145_97_171.png","width":278,"height":500,"caption":"Belgrade Bioinformatics Conference"},"image":{"@id":"https:\/\/archive.belbi.bg.ac.rs\/2023\/#\/schema\/logo\/image\/"}}]}},"_links":{"self":[{"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/abstract\/2818"}],"collection":[{"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/abstract"}],"about":[{"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/types\/abstract"}],"author":[{"embeddable":true,"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/users\/162"}],"wp:attachment":[{"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/media?parent=2818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/categories?post=2818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/archive.belbi.bg.ac.rs\/2023\/wp-json\/wp\/v2\/tags?post=2818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}