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印度死产率及其空间模式:对HMIS数据的探索

Anchal Purbey1, Apoorva Nambiar2, Dripta Roy Choudhury1

  • 1CTARA, IIT-B, Mumbai, Maharashtra, India.

The Lancet regional health. Southeast Asia
|June 29, 2023
PubMed
概括

印度的高死胎率需要有针对性的干预措施. 关键的风险因素包括母亲的BMI,贫血和有限的产前护理,突出了针对性母亲健康计划的需要.

关键词:
他的外套是HMIS美国NFHS-4标准空间模式 空间模式死亡出生率 死亡出生率死亡出生 死亡出生

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Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
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