{"id":13818,"date":"2020-02-23T20:56:03","date_gmt":"2020-02-23T20:56:03","guid":{"rendered":"http:\/\/evaggelatos.com\/?p=13818"},"modified":"2020-02-23T21:24:50","modified_gmt":"2020-02-23T21:24:50","slug":"how-we-map-epidemics","status":"publish","type":"post","link":"https:\/\/evaggelatos.com\/?p=13818","title":{"rendered":"How We Map Epidemics?"},"content":{"rendered":"<h1 class=\"l-article__hed\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13822 alignnone\" src=\"https:\/\/evaggelatos.com\/wp-content\/uploads\/2020\/02\/original.jpg\" alt=\"\" width=\"940\" height=\"496\" srcset=\"https:\/\/evaggelatos.com\/wp-content\/uploads\/2020\/02\/original.jpg 940w, https:\/\/evaggelatos.com\/wp-content\/uploads\/2020\/02\/original-300x158.jpg 300w, https:\/\/evaggelatos.com\/wp-content\/uploads\/2020\/02\/original-768x405.jpg 768w\" sizes=\"auto, (max-width: 940px) 100vw, 940px\" \/><\/h1>\n<h2 class=\"l-article__dek o-small-container\">Cartographers are mapping the coronavirus in more sophisticated ways than past epidemics. But visualizing outbreaks dates back to cholera and yellow fever.<\/h2>\n<section id=\"article-section-1\" class=\"s-article__section o-small-container\">As coronavirus cases multiply, interactive maps are helping us understand the spread of the disease\u2014and panic about it.One of the best examples is the <a href=\"https:\/\/gisanddata.maps.arcgis.com\/apps\/opsdashboard\/index.html#\/bda7594740fd40299423467b48e9ecf6\">dashboard<\/a> built by Johns Hopkins University\u2019s Center for Systems Science and Engineering with a striking red-on-black design.<strong> Using tools from mapping software company <a href=\"https:\/\/www.esri.com\/en-us\/home\">Esri<\/a>, Johns Hopkins aggregates data from health officials worldwide in real time.<\/strong> The bigger a red bubble gets, the more cases are identified in a given geographical area. The death toll from the outbreak topped 1,000 this week, making it more deadly than <a href=\"https:\/\/www.theguardian.com\/world\/2020\/feb\/09\/coronavirus-global-death-toll-overtakes-sars-epidemic\">the 2003 SARS epidemic<\/a>.<\/p>\n<figure class=\"u-block-center\"><picture><img class=\" lazyloaded\" srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/atJiy_MX_XBaMBQy1999QP1kPQU=\/548x267\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/hopkins\/original.png, https:\/\/cdn.theatlantic.com\/thumbor\/XgpgCiuYcJDDy51s0-Kmm1jkhCo=\/1096x534\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/hopkins\/original.png 2x\" alt=\"\" width=\"776\" height=\"378\" data-srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/atJiy_MX_XBaMBQy1999QP1kPQU=\/548x267\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/hopkins\/original.png, https:\/\/cdn.theatlantic.com\/thumbor\/XgpgCiuYcJDDy51s0-Kmm1jkhCo=\/1096x534\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/hopkins\/original.png 2x\" \/><\/picture><figcaption class=\"caption\">The online dashboard Johns Hopkins built to track the 2019-nCoV outbreak had racked up 52 million views as of Jan. 31, according to Esri.<\/figcaption><\/figure>\n<p><a href=\"http:\/\/www.metabiota.com\/\">Metabiota<\/a>, a company specializing in pandemic threat management, added the coronavirus to its list of over 130 pathogens it is already <a href=\"https:\/\/www.epidemictracker.com\/\">tracking globally.<\/a> The resulting map uses a tamer color palette\u2014except for the blinking orange dots that signal the presence of the virus in a country.<\/p>\n<figure class=\"u-block-center\"><picture><img class=\" lazyloaded\" srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/Qa6dQGGitVUDT7klfOGunnFol1Y=\/620x309\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/dashboard_metabiota\/original.png, https:\/\/cdn.theatlantic.com\/thumbor\/ndB9_zSKet7V_HMz1h-ct04VvOk=\/1240x618\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/dashboard_metabiota\/original.png 2x\" alt=\"\" width=\"750\" height=\"374\" data-srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/Qa6dQGGitVUDT7klfOGunnFol1Y=\/620x309\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/dashboard_metabiota\/original.png, https:\/\/cdn.theatlantic.com\/thumbor\/ndB9_zSKet7V_HMz1h-ct04VvOk=\/1240x618\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/dashboard_metabiota\/original.png 2x\" \/><\/picture><figcaption class=\"caption\">Metabiota structures data from multiple health organizations to track ongoing epidemics. It has also on-boarded and cleaned information about thousands of previous outbreaks. (Metabiota, <a href=\"https:\/\/www.epidemictracker.com\/\">Epidemic Tracker<\/a>)<\/figcaption><\/figure>\n<p>But is this really new?<\/p>\n<\/section>\n<div class=\"ad-box-wrapper\" data-pos=\"box\"><\/div>\n<section id=\"article-section-2\" class=\"s-article__section o-small-container\">Spatially visualizing outbreaks goes back ages: There have been attempts at doing so since the 17th century. But in the past decades, medical cartography has taken off and democratized because of technological advances made possible by computers. On top of increasingly powerful devices, the internet enables rapid access to data-gathering and sharing.For centuries, geographers and health-care officials have used so-called geographic information systems (GIS) mapping <a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC4089751\/\">to craft theories<\/a> on why a particular outbreak occurred based on the clustering of casualties. Now they can also project how an ongoing epidemic might evolve\u2014in real time\u2014and set policy based on those models.\u201cThe underlying goal of using a GIS in the past was to develop a greater understanding of what happened, and of some of the root causes,\u201d said Este Geraghty, chief medical officer and health solutions director at Esri. \u201cBut today, GIS has evolved, so we can do so much more.\u201d<\/p>\n<h4><strong>Maps in the time of cholera<\/strong><\/h4>\n<figure><picture><img decoding=\"async\" class=\"lazyloaded aligncenter\" src=\"https:\/\/cdn.theatlantic.com\/thumbor\/13P2gNKH2u0OhdMp6XLR5iesxJc=\/620x368\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/bari\/original.png\" alt=\"\" data-src=\"https:\/\/cdn.theatlantic.com\/thumbor\/13P2gNKH2u0OhdMp6XLR5iesxJc=\/620x368\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/bari\/original.png\" \/><\/picture><figcaption class=\"caption\">In the earliest documented disease map, Fillipo Arrieta visualized the strategy for containing the spread of disease in the region of Bari, Italy 1690-92. (<em><a href=\"https:\/\/www.semanticscholar.org\/paper\/Controlling-the-geographical-spread-of-infectious-Cliff-Smallman-Raynor\/7bec5d4a3beedb9c94ed2dc1ce191f65429f6c63\/figure\/11\">Controlling the Geographical Spread of Infectious Disease: Plague in Italy, 1347-1851<\/a>)<\/em><\/figcaption><\/figure>\n<p>The first occurrence of disease mapping can be traced back to 1692, according to Tom Koch, professor of geography at the University of British Columbia and author of the book <em><a href=\"https:\/\/www.amazon.co.uk\/Cartographies-Disease-Maps-Mapping-Medicine\/dp\/1589484673\/ref=dp_ob_image_bk\"><u>Cartographies of Diseases<\/u><\/a><\/em>. At the time, plague was wreaking havoc throughout Europe, and Fillippo Arrieta, an Italian royal auditor, <a href=\"https:\/\/www.semanticscholar.org\/paper\/Controlling-the-geographical-spread-of-infectious-Cliff-Smallman-Raynor\/7bec5d4a3beedb9c94ed2dc1ce191f65429f6c63\">spatially visualized the strategy<\/a> for containing the spread of the disease in the region of Bari, Italy. On Arrieta\u2019s map, Bari is separated from the rest of the country by a dashed line that represents a \u201ccordon sanitaire.\u201d Within the cordoned-off province are two smaller areas, separated from the rest by a thicker line. The observant reader can see large \u201cD\u201d letters in the top right area, meaning that the province is infected by the plague.<\/p>\n<\/section>\n<div class=\"ad-box-wrapper\" data-pos=\"box\"><\/div>\n<section id=\"article-section-3\" class=\"s-article__section o-small-container\">However, <a href=\"https:\/\/www.thelancet.com\/pdfs\/journals\/lancet\/PIIS0140-6736(12)60383-3.pdf\">according to Koch\u2019s research<\/a>, the first truly detailed spatial study of an epidemic did not appear before 1797 (approximately) and the publication in the <em>Medical Repository<\/em> of Valentine Seaman\u2019s maps of the yellow fever outbreak in New York City. <a href=\"https:\/\/brianaltonenmph.com\/gis\/historical-disease-maps\/valentine-seaman-1804-the-black-plague-or-yellow-fever-in-new-york-city\/\">Seaman overlaid<\/a> the location of yellow fever cases\u2014 dots on the map below\u2014with the position of\u00a0 dumping areas and sewage sites in lower Manhattan. He marked these sites with a thick letter \u201cS.\u201d Reflecting upon his observations, Seaman concluded that the deadly outbreak was linked to those areas and their putrid emanations.<\/p>\n<figure class=\"u-block-center\"><picture><img decoding=\"async\" class=\"lazyloaded aligncenter\" src=\"https:\/\/cdn.theatlantic.com\/thumbor\/1YUHCJnugHtZKX5Xa5gx1-U9-PU=\/620x390\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/seaman-2\/original.jpg\" alt=\"\" data-src=\"https:\/\/cdn.theatlantic.com\/thumbor\/1YUHCJnugHtZKX5Xa5gx1-U9-PU=\/620x390\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/seaman-2\/original.jpg\" \/><\/picture><figcaption class=\"caption\">Valentine Seaman, An Inquiry Into the Cause of the Prevalence of the Yellow Fever in New York, in the Medical Repository, 1797. (<a href=\"https:\/\/brianaltonenmph.com\/gis\/historical-disease-maps\/valentine-seaman-1804-the-black-plague-or-yellow-fever-in-new-york-city\/\">Brian Altonen<\/a>)<\/figcaption><\/figure>\n<p>Even if Seaman\u2019s theory was not quite right\u2014yellow fever is carried by the mosquitoes that were breeding in these waste sites\u2014disease mapping was born. Over time, technology improved and disease-related data became more available, according to Koch. However, it was only when an epidemic of cholera massively hit Europe, and especially the U.K., in the mid-19th century that disease maps exploded.<\/p>\n<section class=\"c-newsletter c-newsletter--promo c-newsletter--cta\">\n<h2 class=\"c-newsletter__title\">Cities are changing fast. Keep up with the <b>CityLab Daily<\/b> newsletter.<\/h2>\n<div class=\"c-newsletter__content c-newsletter__content--promo\">\n<div class=\"c-newsletter__cta c-newsletter__cta--promo\">The best way to follow issues you care about.<\/div>\n<p><a class=\"c-btn c-btn--signup c-btn--promo c-newsletter__submit--promo\" href=\"http:\/\/link.mail.bloombergbusiness.com\/join\/4wm\/citylab-daily&amp;hash=b9b2681361bede0e1069ca238efb1ec2\"> Subscribe <\/a><\/p>\n<\/div>\n<\/section>\n<p>\u201cAnd then it was\u2026 a watershed,\u201d Koch said by email.<\/p>\n<figure class=\"u-block-center\"><picture><img class=\" lazyloaded\" srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/SHR3tppRXNauSVbhLdx3J9Sxyzc=\/17x60:742x957\/356x440\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/snow\/original.jpg, https:\/\/cdn.theatlantic.com\/thumbor\/mUkI1kIRayGIM-74xEyfDYzAEng=\/17x60:742x957\/712x880\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/snow\/original.jpg 2x\" alt=\"\" width=\"702\" height=\"868\" data-srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/SHR3tppRXNauSVbhLdx3J9Sxyzc=\/17x60:742x957\/356x440\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/snow\/original.jpg, https:\/\/cdn.theatlantic.com\/thumbor\/mUkI1kIRayGIM-74xEyfDYzAEng=\/17x60:742x957\/712x880\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/snow\/original.jpg 2x\" \/><\/picture><figcaption class=\"caption\">John Snow, <em>Plan Showing the Ascertained Deaths from Cholera. <\/em>The black bars represent deaths from the disease. (<a href=\"https:\/\/wellcomecollection.org\/works\/dx4prdbj\">Wellcome Collection<\/a> online archives)<\/figcaption><\/figure>\n<p>John Snow\u2019s famous map of the London cholera outbreak of 1854 remains the most popular example of this boom in spatial visualization of the cholera epidemic, as Britons desperately tried to understand its roots. Snow overlaid the location of the casualties with the position of water pumps in the city, and from there correctly deducted the water-borne origin of the disease.<\/p>\n<p>He was, however, far from being the only one mapping the outbreak.<\/p>\n<figure class=\"u-block-center\"><picture><img loading=\"lazy\" decoding=\"async\" class=\" lazyloaded\" src=\"https:\/\/cdn.theatlantic.com\/thumbor\/HxsGhcsbNlrdBOv3xxmaYoi6GFY=\/548x362\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/grainger\/original.jpg\" alt=\"\" width=\"702\" height=\"464\" data-src=\"https:\/\/cdn.theatlantic.com\/thumbor\/HxsGhcsbNlrdBOv3xxmaYoi6GFY=\/548x362\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/grainger\/original.jpg\" \/><\/picture><figcaption class=\"caption\">Richard Grainger, <em>Cholera Map of the Metroplis. 1849<\/em>, 1850. Via the <a href=\"https:\/\/wellcomecollection.org\/works\/hjutkspw\">Wellcome Collection<\/a> online archives.<\/figcaption><\/figure>\n<figure class=\"u-block-center\"><picture><img loading=\"lazy\" decoding=\"async\" class=\" lazyloaded\" src=\"https:\/\/cdn.theatlantic.com\/thumbor\/A6ByGypI8DFTQFJYm4_l5QTdWCc=\/620x425\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/sections\/original.jpg\" alt=\"\" width=\"703\" height=\"482\" data-src=\"https:\/\/cdn.theatlantic.com\/thumbor\/A6ByGypI8DFTQFJYm4_l5QTdWCc=\/620x425\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/sections\/original.jpg\" \/><\/picture><figcaption class=\"caption\"><em>Sections showing the relative intensity of the attack of cholera at the various levels along the lines marked on the cholera map<\/em>. (<a href=\"https:\/\/wellcomecollection.org\/works\/y4ygj2n6\">Wellcome Collection<\/a> online archives)<\/figcaption><\/figure>\n<p>Among the trove of mid-19th century London cholera maps is Richard Grainger\u2019s, who hypothesized a link between the disease and altitude. Grainger mapped the city very precisely, drawing all its districts and sub-districts, and added to his map the location of sewers and wells. He overlaid elevation information and shaded areas according to the intensity of the cholera outbreak: The darker the shade of blue, the more devastating. And, in fact, Koch writes in his book, the masses near the banks of the river Thames in South London struggled with overall less clean air than Londoners who lived higher up.<\/p>\n<h4>Maps in the time of big data<\/h4>\n<p>Fast-forward a couple of centuries: The invention of the computer provided an electronic support to generate maps faster. Jump ahead a few additional decades, and the internet enables data-gathering and transmission at an ever-increasing velocity. Computers become more efficient and their data processing capabilities exploded, resulting in the creation of <a href=\"https:\/\/www.gislounge.com\/mapping-epidemics\/\">geospatial models<\/a> that enable health care officials to understand where an ongoing epidemic might hit next, and identify those most at risk. These models make public health interventions possible.<\/p>\n<\/section>\n<div class=\"ad-box-wrapper\" data-pos=\"box\"><\/div>\n<section id=\"article-section-4\" class=\"s-article__section o-small-container\">Geraghty said when she joined Esri, the public health community was very familiar with GIS. \u201cThey had an understanding and they had been mapping, but they had been doing it with desktop tools, not web-based GIS,\u201d she said.As a result, larger datasets are now more easily available, and GIS users can build their own prediction models based on them. Among the trove of information readily accessible is census data, plane or ship routes, and even social media content.In 2016, <a href=\"https:\/\/www.fedscoop.com\/inside-one-way-the-government-is-planning-its-fight-against-zika-location-data\/\">the U.S. Centers for Disease Control and Prevention used Esri\u2019s products<\/a> and expertise to monitor the diffusion of the Zika virus. Zika is spread by the Aedes mosquito, and the survival and reproduction rate of the insect is tightly linked to five variables, according to Geraghty: temperature, precipitation, land use, population and elevation. After analysis, researchers were able to identify areas of the world where the mosquito could easily live, and they cross-referenced these results with census data. Zika is particularly dangerous to pregnant women, and the census data overlay enabled the researchers to identify zones with the largest at-risk populations. This enabled effective policy-making and testing, as locals were encouraged to use insecticide and larvicide, among other means, to limit the spread of the disease.<\/p>\n<figure class=\"u-block-center\"><picture><img class=\" lazyloaded\" srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/Us3EUrvVbVp2Fi_ngEirea1OurA=\/620x399\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/zika\/original.png, https:\/\/cdn.theatlantic.com\/thumbor\/Rz-eNsXHqtqUF3ZgOesneWjDwPw=\/1240x798\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/zika\/original.png 2x\" alt=\"\" data-srcset=\"https:\/\/cdn.theatlantic.com\/thumbor\/Us3EUrvVbVp2Fi_ngEirea1OurA=\/620x399\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/zika\/original.png, https:\/\/cdn.theatlantic.com\/thumbor\/Rz-eNsXHqtqUF3ZgOesneWjDwPw=\/1240x798\/filters:format(png)\/https:\/\/cdn.citylab.com\/media\/img\/posts\/2020\/02\/zika\/original.png 2x\" \/><\/picture><figcaption class=\"caption\">This Esri dashboard is no longer available. Picture as seen in<a href=\"https:\/\/healthtechmagazine.net\/article\/2017\/03\/digital-technology-fighting-epidemics%20\"> Healthcare Magazine<\/a>, in 2016.<\/figcaption><\/figure>\n<p>A dashboard (as seen in the picture above) monitoring the number of Zika cases in the United States was <a href=\"https:\/\/healthtechmagazine.net\/article\/2017\/03\/digital-technology-fighting-epidemics\">made available to the public<\/a>. The darker the shade of red, the more cases identified in a given state.<\/p>\n<\/section>\n<section id=\"article-section-5\" class=\"s-article__section o-small-container\">On its end, the company Metabiota has accumulated and cleaned data on 2,400 outbreaks since its creation in 2008, according to Nita Madhav, the company\u2019s chief executive officer. Its epidemic tracker is available to the public, but most of the firm\u2019s modeling capacities are only available to its clients, which include the CDC and the U.S. Agency for International Development.\u201cThis [data on previous epidemics] can actually help inform future decision-making,\u201d Madhav said, \u201cand can show us that these epidemics should not come as a surprise. This is something that happens frequently over time.\u201dThe company assesses when and where outbreaks are more likely to occur, and, Madhav said, is currently \u201cnearcasting\u201d\u2014projecting the short-term evolution\u2014of the coronavirus. Metabiota also came up with a way to measure \u201cfear,\u201d a metric it calls a pathogen \u201csentiment score.\u201d To calculate that score, Madhav explained that researchers combine existing data regarding an outbreak\u2014like mortality rate, for example\u2014and put it into a \u201cscoring algorithm.\u201d The results available to the public are ranked on a rather broad scale: the novel coronavirus \u201csentiment score\u201d is defined as \u201chigh.\u201d More granular results are available, but they are not released on the company\u2019s website.The John Hopkins dashboard is itself built on top of multiple data feeds. <a href=\"https:\/\/systems.jhu.edu\/research\/public-health\/ncov\/\">It uses CDC, WHO, ECDC and DXY reports<\/a> &#8211; Chinese, American and global data sources. The resulting map is only as good as the data sources get, however, and tracking an epidemic <a href=\"https:\/\/www.citylab.com\/design\/2018\/01\/the-imperfect-science-of-mapping-the-flu\/551387\/\">can be tricky<\/a>: Cases sometimes go unreported.<\/p>\n<p>Geraghty, at Esri, regularly stops and reflects on where the field might go next.<\/p>\n<p>\u201cGIS is moving in a direction that is maybe more democratized.\u201d she said. \u201cThere is always a need for these GIS professionals, but a lot of people whose job is totally different and need maps to make decisions don\u2019t have to have the expertise. They just need to know enough about mapping.\u201d<\/p>\n<\/section>\n<section class=\"c-authors-article u-lazy lazyloaded\" data-include=\"css:https:\/\/cdn.citylab.com\/static\/a\/frontend\/dist\/citylab\/css\/components\/author-article.cf4e8e0b143f.css\" data-currentinclude=\"\">\n<h4 class=\"c-authors-article__about-title\">About the Author<\/h4>\n<section class=\"c-author-article\">\n<div class=\"c-author-article__content\">\n<h5 class=\"c-author-article__title\"><a class=\"c-author-article__link\" href=\"https:\/\/www.citylab.com\/authors\/marie-patino\/\">Marie Patino<\/a><\/h5>\n<p>https:\/\/www.citylab.com\/design\/2020\/02\/how-we-map-epidemics-coronavirus-history\/606349\/<\/p>\n<\/div>\n<\/section>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Cartographers are mapping the coronavirus in more sophisticated ways than past epidemics. But visualizing outbreaks dates back to cholera and yellow fever. As coronavirus cases multiply, interactive maps are helping us understand the spread of the disease\u2014and panic about it.One of the best examples is the dashboard built by Johns Hopkins University\u2019s Center for Systems &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/evaggelatos.com\/?p=13818\">\u03a3\u03c5\u03bd\u03ad\u03c7\u03b5\u03b9\u03b1 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7\u03c2<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,42],"tags":[196,90],"class_list":["post-13818","post","type-post","status-publish","format-standard","hentry","category-41","category-42","tag-196","tag-90","item-wrap"],"_links":{"self":[{"href":"https:\/\/evaggelatos.com\/index.php?rest_route=\/wp\/v2\/posts\/13818","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/evaggelatos.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/evaggelatos.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/evaggelatos.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/evaggelatos.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13818"}],"version-history":[{"count":5,"href":"https:\/\/evaggelatos.com\/index.php?rest_route=\/wp\/v2\/posts\/13818\/revisions"}],"predecessor-version":[{"id":13825,"href":"https:\/\/evaggelatos.com\/index.php?rest_route=\/wp\/v2\/posts\/13818\/revisions\/13825"}],"wp:attachment":[{"href":"https:\/\/evaggelatos.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13818"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/evaggelatos.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13818"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/evaggelatos.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13818"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}