{"id":4019,"date":"2020-04-28T09:19:09","date_gmt":"2020-04-28T13:19:09","guid":{"rendered":"https:\/\/notes.math.ca\/article\/short-reviews-covid-19\/"},"modified":"2021-03-16T09:01:11","modified_gmt":"2021-03-16T13:01:11","slug":"short-reviews-covid-19","status":"publish","type":"article","link":"https:\/\/notes.math.ca\/fr\/article\/short-reviews-covid-19\/","title":{"rendered":"Brefs comptes rendus &#8211; COVID-19"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4019\" class=\"elementor elementor-4019 elementor-3996\" data-elementor-post-type=\"article\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1f969297 notes_section_prologue notes_grey elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1f969297\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6141c225\" data-id=\"6141c225\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-39908377 elementor-widget-divider--view-line elementor-widget elementor-widget-global elementor-global-2949 elementor-widget-divider\" data-id=\"39908377\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2601bf0a notes_tight_bottom elementor-widget elementor-widget-text-editor\" data-id=\"2601bf0a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>Cette page compte rend des trois ouvrages qui portent sur un sujet particuli\u00e8rement actuel et qui sont r\u00e9dig\u00e9s (ou cor\u00e9dig\u00e9s) par les chercheurs canadiens. Qiang Zhao est professeur de math\u00e9matiques \u00e0 l&rsquo;Universit\u00e9 Memorial; son ouvrage, en deuxi\u00e8me \u00e9dition, a paru r\u00e9cemment dans les comptes rendus des<\/em> Notes. Fred Brauer est professeur honoraire \u00e0 l&rsquo;Universit\u00e9 de la Colombie-Britannique \u00e0 Vancouver dans le groupe de biologie math\u00e9matique.<em> Michael Y. Li est professeur de math\u00e9matiques \u00e0 l&rsquo;Universit\u00e9 de l&rsquo;Alberta. Les comptes rendus \u00e9labor\u00e9s pour les deuxi\u00e8me et troisi\u00e8me ouvrages seront publi\u00e9s dans les futurs num\u00e9ros des<\/em> Notes.<\/p><p><strong>Karl Dilcher, <\/strong><em>Universit\u00e9 Dalhousie (<a href=\"mailto:notes-reviews@cms.math.ca\">notes-reviews@cms.math.ca<\/a>)<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-51547dbf elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"51547dbf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-32788d31 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"32788d31\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4ba3e351\" data-id=\"4ba3e351\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5b547212 elementor-widget elementor-widget-text-editor\" data-id=\"5b547212\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\" data-wp-editing=\"1\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignleft wp-image-4003\" src=\"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/zhao-cover-189x300.jpg\" alt=\"\" width=\"200\" height=\"318\" srcset=\"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/zhao-cover-189x300.jpg 189w, https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/zhao-cover-645x1024.jpg 645w, https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/zhao-cover-768x1220.jpg 768w, https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/zhao-cover.jpg 856w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><em>Dynamical Systems in Population Biology<\/em>, 2nd Edition<br \/><\/span><span style=\"color: #000000;\">by <\/span><span style=\"color: #000000;\">Xiao-Qiang Zhao<\/span><br \/>CMS Books in Mathematics, Springer, 2017<br \/>ISBN 978-3-319-56432-6<br \/><span style=\"color: #000000;\">Reviewed by Karl Dilcher<\/span><\/p><p>A <a href=\"https:\/\/notes.math.ca\/en\/article\/dynamical-systems-in-population-biology\/\">full review<\/a>, written by Frithjof Lutscher, was recently published in the <a href=\"https:\/\/notes.math.ca\/en\/issue\/52-2-march-april\/\">March\/April 2020 issue<\/a> of the <em>Notes<\/em>. The following paragraph is worth repeating here:<\/p><blockquote><p>Chapter 11 is devoted to a quantity of great interest in epidemiology: the basic reproduction ratio. This quantity is abstractly defined as the number of secondary infections that a single infective organism in a completely susceptible population will generate. Defining this quantity in models of great complexity, i.e. models that include spatial structure, delays, and interacting populations, is highly nontrivial. Proving that this number has the same properties as in the simple ODE models for which it was originally introduced, namely that it is the threshold between disease extinction and persistence, is very hard. It requires the tools and techniques introduced in the first chapters and several additional ideas. Chapters 12\u201314 then consider more applications of this basic reproduction ratio to populations with periodic delays, with spatial structure, and for the complicated dynamics of Lyme disease.<\/p><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-657be328 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"657be328\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53a2b5f elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"53a2b5f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2e1d47ff elementor-widget elementor-widget-text-editor\" data-id=\"2e1d47ff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"color: #000000;\"><img decoding=\"async\" class=\"alignleft wp-image-4006\" src=\"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/brauer-cover-189x300.jpg\" alt=\"\" width=\"200\" height=\"317\" srcset=\"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/brauer-cover-189x300.jpg 189w, https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/brauer-cover.jpg 315w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/span><em>Mathematical Models in Epidemiology<br \/><\/em>By Fred Brauer, Carlos Castillo-Chavez, and Zhilan Feng.<br \/>With a foreword by Simon Levin.<br \/>Texts in Applied Mathematics, 69. Springer, New York, 2019.<br \/>ISBN: 978-1-4939-9826-5<br \/>Reviewed by Karl Dilcher<\/p><p>Publisher\u2019s description:<\/p><blockquote><p>The book is a comprehensive, self-contained introduction to the mathematical modeling and analysis of disease transmission models. It includes (i) an introduction to the main concepts of compartmental models including models with heterogeneous mixing of individuals and models for vector-transmitted diseases, (ii) a detailed analysis of models for important specific diseases, including tuberculosis, HIV\/AIDS, influenza, Ebola virus disease, malaria, dengue fever and the Zika virus, (iii) an introduction to more advanced mathematical topics, including age structure, spatial structure, and mobility, and (iv) some challenges and opportunities for the future.<\/p><p>There are exercises of varying degrees of difficulty, and projects leading to new research directions. For the benefit of public health professionals whose contact with mathematics may not be recent, there is an appendix covering the necessary mathematical background. There are indications which sections require a strong mathematical background so that the book can be useful for both mathematical modelers and public health professionals.<\/p><\/blockquote>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9626226 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"9626226\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a9e3b1e elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"a9e3b1e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4e25a21 elementor-widget elementor-widget-text-editor\" data-id=\"4e25a21\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><img decoding=\"async\" class=\"alignleft wp-image-4011\" src=\"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/li-cover-199x300.jpg\" alt=\"\" width=\"200\" height=\"301\" srcset=\"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/li-cover-199x300.jpg 199w, https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/li-cover.jpg 332w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/p><p><em>An Introduction to Mathematical Modeling of Infectious Diseases<br \/><\/em>By Michael Y. Li<br \/>Mathematics of Planet Earth Collection, Springer, 2018.<br \/>ISBN 978-3-319-72122-4<\/p><p>Publisher\u2019s Description:<\/p><blockquote><p>This text provides essential modeling skills and methodology for the study of infectious diseases through a one-semester modeling course or directed individual studies.\u00a0 The book includes mathematical descriptions of epidemiological concepts, and uses classic epidemic models to introduce different mathematical methods in model analysis.\u00a0 Matlab codes are also included for numerical implementations.<\/p><p>It is primarily written for upper undergraduate and beginning graduate students in mathematical sciences who have an interest in mathematical modeling of infectious diseases.\u00a0 Although written in a rigorous mathematical manner, the style is not unfriendly to non-mathematicians.<\/p><\/blockquote><p>The individual chapters are: \u00ab\u00a0Important Concepts in Mathematical Modeling of Infectious Diseases\u00a0\u00bb; \u00ab\u00a0Five Classic Epidemic Models and Their Analysis\u00a0\u00bb; \u00ab\u00a0Basic Mathematical Tools and Techniques\u00a0\u00bb; \u00ab\u00a0Parameter Estimation and Nonlinear Least-Squares Methods\u00a0\u00bb; and \u00ab\u00a0Special Topics\u00a0\u00bb.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"author":6,"template":"","section":[28],"keyword":[170,171,169],"class_list":["post-4019","article","type-article","status-publish","hentry","section-compes-rendus","keyword-epidemiologie","keyword-maladies-infectieuses","keyword-modeles-mathematiques"],"toolset-meta":{"author-4-info":{"author-4-surname":{"type":"textfield","raw":""},"author-4-given-names":{"type":"textfield","raw":""},"author-4-honorific":{"type":"textfield","raw":""},"author-4-institution":{"type":"textfield","raw":""},"author-4-email":{"type":"email","raw":""},"author-4-cms-role":{"type":"textfield","raw":""}},"author-3-info":{"author-3-surname":{"type":"textfield","raw":""},"author-3-given-names":{"type":"textfield","raw":""},"author-3-honorific":{"type":"textfield","raw":""},"author-3-institution":{"type":"textfield","raw":""},"author-3-email":{"type":"email","raw":""},"author-3-cms-role":{"type":"textfield","raw":""}},"author-2-info":{"author-2-surname":{"type":"textfield","raw":""},"author-2-given-names":{"type":"textfield","raw":""},"author-2-honorific":{"type":"textfield","raw":""},"author-2-institution":{"type":"textfield","raw":""},"author-2-email":{"type":"email","raw":""},"author-2-cms-role":{"type":"textfield","raw":""}},"author-info":{"author-surname":{"type":"textfield","raw":"Dilcher"},"author-given-names":{"type":"textfield","raw":"Karl"},"author-honorific":{"type":"textfield","raw":""},"author-email":{"type":"email","raw":"notes-reviews@cms.math.ca"},"author-institution":{"type":"textfield","raw":"Universit\u00e9 Dalhousie"},"author-cms-role":{"type":"textfield","raw":"\u00c9diteur de comptes rendus"}},"unknown":{"downloadable-pdf":{"type":"file","raw":"https:\/\/notes.math.ca\/wp-content\/uploads\/2020\/04\/Book-reviews-Notes-de-la-SMC.pdf","attachment_id":9246},"article-toc-weight":{"type":"numeric","raw":"34"},"author-surname":{"type":"textfield","raw":"Dilcher"},"author-given-names":{"type":"textfield","raw":"Karl"}}},"_links":{"self":[{"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/article\/4019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/article"}],"about":[{"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/types\/article"}],"author":[{"embeddable":true,"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":14,"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/article\/4019\/revisions"}],"predecessor-version":[{"id":9248,"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/article\/4019\/revisions\/9248"}],"wp:attachment":[{"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/media?parent=4019"}],"wp:term":[{"taxonomy":"section","embeddable":true,"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/section?post=4019"},{"taxonomy":"keyword","embeddable":true,"href":"https:\/\/notes.math.ca\/fr\/wp-json\/wp\/v2\/keyword?post=4019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}