基于战斗强度的疾病和非战斗外伤减员预计模型初探

A forecasting pattern on patient rate of disease and nonbattle injury based on battle intensity

目的:通过对美海军陆战队历次战争疾病和非战斗外伤(diseaseandnonbattleinjury,DNBI)减员数据进行分析,寻找与战斗强度相关的减员预计模型.方法:应用相关分析法分析了冲绳战役和朝鲜战争的DNBI数据.结果:发现DN BI减员与战斗强度存在正相关关系,并且建立起一个基于强度的预计模型.结论:对我军疾病与非战斗外伤减员预计研究将有很好的借鉴作用.

AIM: To explore a forecasting pattern to estimate the patient rate of disease and nonbattle injury (DNBI) related to the battle intensity. METHODS: The historical data of DNBI, selected from the assault on Okinawa, WW II, the Korean conflict, the Vietnam War and the Falklands conflict, were studied by the correlation analysis. RESULTS: A positive correlation between DNBI and battle intensity was found and a forecasting pattern on patient rate of DNBI based on battle intensity was established. CONCLUSION: The results are of use to studies on DNBI in our armed forces.