{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:38:42Z","timestamp":1742913522479,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":26,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819608393"},{"type":"electronic","value":"9789819608409"}],"license":[{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-0840-9_3","type":"book-chapter","created":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T17:26:02Z","timestamp":1734024362000},"page":"33-47","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Analyses of\u00a0the\u00a0Impact of\u00a0Climatic and\u00a0Environmental Conditions on\u00a0COVID-19 Prevalence in\u00a0Epidemic Areas in\u00a0Australia, South Korea, and\u00a0Italy"],"prefix":"10.1007","author":[{"given":"Yuxi","family":"Liu","sequence":"first","affiliation":[]},{"given":"Zhenhao","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Shaowen","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Jiang","family":"Bian","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,13]]},"reference":[{"key":"3_CR1","unstructured":"AFR: It\u2019s luck that has saved us from the pandemic - financial review (2020). https:\/\/www.afr.com\/policy\/health-and-education\/it-s-luck-that-has-saved-us-from-the-pandemic-20200420-p54lbg"},{"key":"3_CR2","unstructured":"AQICN: Air quality open data platform (2020). https:\/\/aqicn.org\/data-platform\/covid19\/verify\/0a29217a-fb3a-4572-97dc-353d1b9b42fb"},{"key":"3_CR3","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1097\/01.ede.0000239732.50999.8f","volume":"17","author":"B Armstrong","year":"2006","unstructured":"Armstrong, B.: Models for the relationship between ambient temperature and daily mortality. Epidemiology 17, 624\u2013631 (2006)","journal-title":"Epidemiology"},{"key":"3_CR4","unstructured":"Bharat, P.: Why Britain ended up as the one of the worst in the world at fighting coronavirus - the experts\u2019 views (2020). https:\/\/www.telegraph.co.uk\/news\/2020\/05\/01\/britain-ended-one-worst-world-fighting-coronavirus-experts\/, the Telegraph"},{"issue":"21","key":"3_CR5","doi-asserted-by":"publisher","first-page":"2331","DOI":"10.1161\/CIR.0b013e3181dbece1","volume":"121","author":"RD Brook","year":"2010","unstructured":"Brook, R.D., et al.: Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American heart association. Circulation 121(21), 2331\u20132378 (2010)","journal-title":"Circulation"},{"key":"3_CR6","unstructured":"Cori, A.: Package \u2018EpiEstim\u2019 (2019). https:\/\/cran.r-project.org\/web\/packages\/EpiEstim\/"},{"key":"3_CR7","doi-asserted-by":"crossref","unstructured":"Dong, E., Du, H., Gardner, L.: An interactive web-based dashboard to track Covid-19 in real time. The Lancet infectious diseases (2020)","DOI":"10.1016\/S1473-3099(20)30120-1"},{"key":"3_CR8","doi-asserted-by":"crossref","unstructured":"Draper, N.R., Smith, H.: Applied Regression Analysis, vol.\u00a0326. Wiley (1998)","DOI":"10.1002\/9781118625590"},{"issue":"21","key":"3_CR9","doi-asserted-by":"publisher","first-page":"2224","DOI":"10.1002\/sim.3940","volume":"29","author":"A Gasparrini","year":"2010","unstructured":"Gasparrini, A., Armstrong, B., Kenward, M.G.: Distributed lag non-linear models. Stat. Med. 29(21), 2224\u20132234 (2010)","journal-title":"Stat. Med."},{"key":"3_CR10","doi-asserted-by":"crossref","unstructured":"Gordon, C.J., Leon, L.R.: Thermal stress and the physiological response to environmental toxicants. Tech. rep, Army Research Inst of Environmental Medicine Natick ma Thermal and Mountain (2005)","DOI":"10.1515\/REVEH.2005.20.4.235"},{"key":"3_CR11","doi-asserted-by":"publisher","unstructured":"Heesterbeek, J.: A brief history of $$r_0$$ and a recipe for its calculation. Acta Biotheoretica 50, 189\u2013204 (2002). https:\/\/doi.org\/10.1023\/A:1016599411804","DOI":"10.1023\/A:1016599411804"},{"key":"3_CR12","unstructured":"Hu, Y., Li, G., Liu, J., Wu, Y., Yao, X., Feng, L.: Research on the relationship between air quality and cardiovascular diseases in Ningbo based on DLMN model. J. Zhejiang Wanli University 1, 20 (2018)"},{"key":"3_CR13","unstructured":"JHU: Covid-19 time-series data from Johns Hopkins University (2020). https:\/\/blog.stata.com\/2020\/3\/27\/covid-19-time-series-data-from-johns-hopkins-university\/"},{"key":"3_CR14","unstructured":"JHU: CSSEGISandData (2020). https:\/\/github.com\/CSSEGISandData\/COVID-19\/"},{"issue":"3","key":"3_CR15","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1093\/aje\/kwh029","volume":"159","author":"K Kleinman","year":"2004","unstructured":"Kleinman, K., Lazarus, R., Platt, R.: A generalized linear mixed models approach for detecting incident clusters of disease in small areas, with an application to biological terrorism. Am. J. Epidemiol. 159(3), 217\u2013224 (2004)","journal-title":"Am. J. Epidemiol."},{"issue":"1","key":"3_CR16","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.taap.2008.01.012","volume":"233","author":"LR Leon","year":"2008","unstructured":"Leon, L.R.: Thermoregulatory responses to environmental toxicants: the interaction of thermal stress and toxicant exposure. Toxicol. Appl. Pharmacol. 233(1), 146\u2013161 (2008)","journal-title":"Toxicol. Appl. Pharmacol."},{"key":"3_CR17","unstructured":"Liao, Q., Hu, X.j., Xue, Q., et\u00a0al.: Short-term impact of air pollutants on influenza-like illness in Yichang city. J. Environ. Occup. Med. 35(10), 879\u2013884 (2018)"},{"key":"3_CR18","doi-asserted-by":"publisher","unstructured":"Liu, Y., Qin, S., Zhang, Z.: Epidemic modeling of the spatiotemporal spread of Covid-19 over an intercity population mobility network. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds.) International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, vol. 13343, pp. 147\u2013159. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-08530-7_13","DOI":"10.1007\/978-3-031-08530-7_13"},{"issue":"9","key":"3_CR19","doi-asserted-by":"publisher","first-page":"877","DOI":"10.1080\/08958370390215767","volume":"15","author":"SH Moolgavkar","year":"2003","unstructured":"Moolgavkar, S.H.: Air pollution and daily mortality in two us counties: season-specific analyses and exposure-response relationships. Inhalation Toxicol. 15(9), 877\u2013907 (2003)","journal-title":"Inhalation Toxicol."},{"issue":"6","key":"3_CR20","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1093\/aje\/kwi075","volume":"161","author":"RD Peng","year":"2005","unstructured":"Peng, R.D., Dominici, F., Pastor-Barriuso, R., Zeger, S.L., Samet, J.M.: Seasonal analyses of air pollution and mortality in 100 US cities. Am. J. Epidemiol. 161(6), 585\u2013594 (2005)","journal-title":"Am. J. Epidemiol."},{"issue":"5","key":"3_CR21","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1289\/ehp.95103490","volume":"103","author":"P Styer","year":"1995","unstructured":"Styer, P., McMillan, N., Gao, F., Davis, J., Sacks, J.: Effect of outdoor airborne particulate matter on daily death counts. Environ. Health Perspect. 103(5), 490\u2013497 (1995)","journal-title":"Environ. Health Perspect."},{"issue":"1","key":"3_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12889-019-7607-2","volume":"19","author":"W Su","year":"2019","unstructured":"Su, W., Wu, X., Geng, X., Zhao, X., Liu, Q., Liu, T.: The short-term effects of air pollutants on influenza-like illness in Jinan, China. BMC Public Health 19(1), 1\u201312 (2019)","journal-title":"BMC Public Health"},{"key":"3_CR23","unstructured":"Wang, J., Lin, X., Liu, Y., Feng, K., Lin, H., et\u00a0al.: A knowledge transfer model for Covid-19 predicting and non-pharmaceutical intervention simulation. arXiv preprint arXiv:2004.12433 (2020)"},{"key":"3_CR24","unstructured":"WHO: Coronavirus disease 2019 (Covid-19) situation report - 62 (2020). https:\/\/www.who.int\/emergencies\/diseases\/"},{"key":"3_CR25","unstructured":"WHO: Coronavirus disease (Covid-19) pandemic (2020). https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019"},{"issue":"3","key":"3_CR26","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1093\/biostatistics\/1.3.279","volume":"1","author":"A Zanobetti","year":"2000","unstructured":"Zanobetti, A., Wand, M., Schwartz, J., Ryan, L.: Generalized additive distributed lag models: quantifying mortality displacement. Biostatistics 1(3), 279\u2013292 (2000)","journal-title":"Biostatistics"}],"container-title":["Lecture Notes in Computer Science","Advanced Data Mining and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0840-9_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,12]],"date-time":"2024-12-12T18:07:42Z","timestamp":1734026862000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0840-9_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,13]]},"ISBN":["9789819608393","9789819608409"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0840-9_3","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,12,13]]},"assertion":[{"value":"13 December 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Data Mining and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adma2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adma2024.github.io\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}