<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-X38F9R18</identifier><date>2020</date><creator>Eržen, Ivan</creator><creator>Fošnarič, Miha</creator><creator>Kamenšek, Tina</creator><creator>Žibert, Janez</creator><relation>documents/doc/X/URN_NBN_SI_doc-X38F9R18_001.pdf</relation><relation>documents/doc/X/URN_NBN_SI_doc-X38F9R18_001.txt</relation><format format_type="issue">3</format><format format_type="volume">59</format><format format_type="type">article</format><format format_type="extent">str. 117-119</format><identifier identifier_type="ISSN">0351-0026</identifier><identifier identifier_type="COBISSID_HOST">21450243</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-X38F9R18</identifier><language>eng</language><publisher>Nacionalni inštitut za javno zdravje</publisher><source>Zdravstveno varstvo</source><rights>BY-NC-ND</rights><subject language_type_id="eng">COVID-19 modelling</subject><subject language_type_id="eng">epidemiological aspects</subject><subject language_type_id="slv">epidemiološki pogled na modeliranje</subject><subject language_type_id="slv">kakovost modelov</subject><subject language_type_id="eng">model quality</subject><subject language_type_id="slv">modeliranje COVID-19</subject><subject language_type_id="slv">priporočene statistične metode</subject><subject language_type_id="eng">statistical recommendations</subject><title>Key challenges in modelling an epidemic - what have we learned from the COVID-19 epidemic so far</title><title>Ključni izzivi pri modeliranju epidemije - dosedanje izkušnje pri modeliranju epidemije COVID-19</title></Record>