| 000 | 01098 a2200313 4500 | ||
|---|---|---|---|
| 005 | 20250517024434.0 | ||
| 264 | 0 | _c20160115 | |
| 008 | 201601s 0 0 eng d | ||
| 022 | _a1878-0067 | ||
| 024 | 7 |
_a10.1016/j.epidem.2014.09.004 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aDe Angelis, Daniela | |
| 245 | 0 | 0 |
_aFour key challenges in infectious disease modelling using data from multiple sources. _h[electronic resource] |
| 260 |
_bEpidemics _cMar 2015 |
||
| 300 |
_a83-7 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't | ||
| 650 | 0 | 4 |
_aCommunicable Diseases _xepidemiology |
| 650 | 0 | 4 | _aData Collection |
| 650 | 0 | 4 |
_aEpidemics _xstatistics & numerical data |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aModels, Statistical |
| 650 | 0 | 4 | _aStatistics as Topic |
| 700 | 1 | _aPresanis, Anne M | |
| 700 | 1 | _aBirrell, Paul J | |
| 700 | 1 | _aTomba, Gianpaolo Scalia | |
| 700 | 1 | _aHouse, Thomas | |
| 773 | 0 |
_tEpidemics _gvol. 10 _gp. 83-7 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.epidem.2014.09.004 _zAvailable from publisher's website |
| 999 |
_c24775227 _d24775227 |
||