Predictive modeling of nontuberculous mycobacterial pulmonary disease epidemiology using German health claims data.
Saved in:
| Title: | Predictive modeling of nontuberculous mycobacterial pulmonary disease epidemiology using German health claims data. |
|---|---|
| Authors: | Ringshausen FC; Department of Respiratory Medicine, Hannover Medical School (MHH), Hannover, Germany; German Center for Lung Research (DZL), Giessen, Germany. Electronic address: Ringshausen.Felix@mh-hannover.de., Ewen R; Department of Respiratory Medicine, Hannover Medical School (MHH), Hannover, Germany., Multmeier J; Elsevier Health Analytics, Berlin, Germany., Monga B; Elsevier Health Analytics, Berlin, Germany; University of Lubumbashi, Lubumbashi, DR Congo., Obradovic M; Insmed Germany GmbH, Frankfurt am Main, Germany., van der Laan R; Insmed Netherlands BV, Utrecht, Netherlands., Diel R; German Center for Lung Research (DZL), Giessen, Germany; Institute for Epidemiology, University Medical Center Schleswig-Holstein, Kiel, Germany; LungenClinic Grosshansdorf, Grosshansdorf, Germany. |
| Source: | International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [Int J Infect Dis] 2021 Mar; Vol. 104, pp. 398-406. Date of Electronic Publication: 2021 Jan 11. |
| Publication Type: | Journal Article; Observational Study |
| Journal Info: | Publisher: Elsevier Country of Publication: Canada NLM ID: 9610933 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-3511 (Electronic) Linking ISSN: 12019712 NLM ISO Abbreviation: Int J Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1878-3511 |
|---|---|
| DOI: | 10.1016/j.ijid.2021.01.003 |
