{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T09:33:27Z","timestamp":1789205607439,"version":"build-2803163510"},"reference-count":26,"publisher":"Baishideng Publishing Group Inc.","issue":"29","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["World J Clin Cases"],"abstract":"<jats:p>Time series analysis is a valuable tool in epidemiology that complements the classical epidemiological models in two different ways: Prediction and forecast. Prediction is related to explaining past and current data based on various internal and external influences that may or may not have a causative role. Forecasting is an exploration of the possible future values based on the predictive ability of the model and hypothesized future values of the external and\/or internal influences. The time series analysis approach has the advantage of being easier to use (in the cases of more straightforward and linear models such as Auto-Regressive Integrated Moving Average). Still, it is limited in forecasting time, unlike the classical models such as Susceptible-Exposed-Infectious-Removed. Its applicability in forecasting comes from its better accuracy for short-term prediction. In its basic form, it does not assume much theoretical knowledge of the mechanisms of spreading and mutating pathogens or the reaction of people and regulatory structures (governments, companies, etc. ). Instead, it estimates from the data directly. Its predictive ability allows testing hypotheses for different factors that positively or negatively contribute to the pandemic spread; be it school closures, emerging variants, etc.  It can be used in mortality or hospital risk estimation from new cases, seroprevalence studies, assessing properties of emerging variants, and estimating excess mortality and its relationship with a pandemic. <\/jats:p>","DOI":"10.12998\/wjcc.v11.i29.7091","type":"journal-article","created":{"date-parts":[[2023,10,13]],"date-time":"2023-10-13T00:16:41Z","timestamp":1697156201000},"page":"7091-7100","source":"Crossref","is-referenced-by-count":5,"title":["Meta-analysis of the efficacy and safety of daratumumab in the treatment of multiple myeloma"],"prefix":"10.12998","volume":"11","author":[{"given":"Pei","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng-Yu","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2060","published-online":{"date-parts":[[2023,10,16]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1177\/1060028016642786"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.327.7414.557"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.d5928"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1038\/s41375-020-0711-6"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30734-0"},{"key":"B6","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(21)00128-5"},{"key":"B7","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(21)00466-6"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1714678"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(19)32956-3"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(19)31240-1"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1182\/bloodadvances.2020003642"},{"key":"B12","unstructured":"Yan XQ, Yu J, Zhou X, Shen HY, Yang M. Curative effect of daratumumab on recurrent and refractory multiple myeloma and its influences on level of CD38 in marrow fluid. Xibu Yixue 2021; 33: 1482-1485 \n            Available from: http:\/\/www.xbyxqk.cn\/xbyx\/article\/abstract\/20211015?st=search"},{"key":"B13","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2014-11-568881"},{"key":"B14","unstructured":"Wang PP, Zhu DQ, Yang XY. Progress in Pathogenesis and Treatment of Multiple Myeloma. Zhongguo Yixue Chuangxin 2023; 20: 164-168 \n            Available from: http:\/\/www.zgyxcx.com\/CN\/abstract\/abstract1594.shtml"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2014.59.1503"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2022.889954"},{"key":"B17","doi-asserted-by":"publisher","DOI":"10.1016\/j.soncn.2017.05.012"},{"key":"B18","doi-asserted-by":"publisher","DOI":"10.1186\/s12929-019-0592-z"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2017-06-740944"},{"key":"B20","unstructured":"Funaro A, Malavasi F. Human CD38, a surface receptor, an enzyme, an adhesion molecule and not a simple marker. J Biol Regul Homeost Agents 1999; 13: 54-61"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.00035.2007"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2015-12-687749"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1080\/19420862.2015.1007813"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2019.01187"},{"key":"B25","doi-asserted-by":"publisher","DOI":"10.4049\/jimmunol.1501351"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1016\/j.imlet.2019.02.002"}],"container-title":["World Journal of Clinical Cases"],"original-title":[],"link":[{"URL":"https:\/\/www.wjgnet.com\/2307-8960\/full\/v11\/i29\/7091.htm","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.wjgnet.com\/2307-8960\/full\/v11\/i29\/7091.htm","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,13]],"date-time":"2023-10-13T00:17:48Z","timestamp":1697156268000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.wjgnet.com\/2307-8960\/full\/v11\/i29\/7091.htm"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,16]]},"references-count":26,"journal-issue":{"issue":"29"},"URL":"https:\/\/doi.org\/10.12998\/wjcc.v11.i29.7091","relation":{},"ISSN":["2307-8960"],"issn-type":[{"value":"2307-8960","type":"print"}],"subject":[],"published":{"date-parts":[[2023,10,16]]}}}