| 000 | 01454 a2200397 4500 | ||
|---|---|---|---|
| 005 | 20250518012617.0 | ||
| 264 | 0 | _c20200309 | |
| 008 | 202003s 0 0 eng d | ||
| 022 | _a1532-8171 | ||
| 024 | 7 |
_a10.1016/j.ajem.2018.11.029 _2doi |
|
| 040 |
_aNLM _beng _cNLM |
||
| 100 | 1 | _aHe, Zhaoxiang | |
| 245 | 0 | 0 |
_aUsing spatial regression methods to evaluate rural emergency medical services (EMS). _h[electronic resource] |
| 260 |
_bThe American journal of emergency medicine _c09 2019 |
||
| 300 |
_a1633-1642 p. _bdigital |
||
| 500 | _aPublication Type: Journal Article | ||
| 650 | 0 | 4 |
_aEmergency Medical Dispatch _xstatistics & numerical data |
| 650 | 0 | 4 |
_aEmergency Medical Services _xstatistics & numerical data |
| 650 | 0 | 4 | _aEmergency Medical Technicians |
| 650 | 0 | 4 | _aGeography |
| 650 | 0 | 4 | _aHumans |
| 650 | 0 | 4 | _aLinear Models |
| 650 | 0 | 4 | _aModels, Econometric |
| 650 | 0 | 4 | _aPersonnel Staffing and Scheduling |
| 650 | 0 | 4 |
_aRural Population _xstatistics & numerical data |
| 650 | 0 | 4 | _aSouth Dakota |
| 650 | 0 | 4 | _aSpatial Regression |
| 650 | 0 | 4 | _aTime Factors |
| 650 | 0 | 4 |
_aTime-to-Treatment _xstatistics & numerical data |
| 650 | 0 | 4 | _aWeather |
| 700 | 1 | _aQin, Xiao | |
| 700 | 1 | _aRenger, Ralph | |
| 700 | 1 | _aSouvannasacd, Eric | |
| 773 | 0 |
_tThe American journal of emergency medicine _gvol. 37 _gno. 9 _gp. 1633-1642 |
|
| 856 | 4 | 0 |
_uhttps://doi.org/10.1016/j.ajem.2018.11.029 _zAvailable from publisher's website |
| 999 |
_c29136322 _d29136322 |
||