American Journal of Public Health 1899-1930

Complete pre-1930 archive of the American Journal of Public Health (AJPH), the official journal of the American Public Health Association. **45,696 rows** of clean, structured text documenting the formative decades of public health in the United States.

**What this data does for your model:**

- Your model learns authentic early 20th‑century public health practice from the official journal of the American Public Health Association.
- Your model retrieves original research on sanitation reform, infectious disease control (tuberculosis, diphtheria, typhoid, Spanish flu), and vital statistics.
- Your model trains on the language of Progressive Era health advocacy, housing policy, child welfare, and occupational hygiene.
- Your model understands the evolution of epidemiology, from outbreak investigation to population‑level prevention strategies.

**What's inside:**

- Early epidemiology and vital statistics
- Sanitation reform and housing policy
- Infectious disease control (tuberculosis, diphtheria, typhoid, Spanish flu)
- Child welfare and school health programs
- Occupational health and industrial hygiene
- The Progressive Era public health movement

**Perfect for:**

- LLM fine-tuning on public health and epidemiology
- Public health policy research and history
- Infectious disease modeling and historical epidemiology
- Health equity and social determinants research

**Format:** Snowflake-native JSONL with columns: ISSUE, TITLE, AUTHOR, TYPE, TEXT. Fully cleaned, bias-audited, and ready for AI training.

*From sanitation to social medicine, the journal that defined public health in America, now ready for AI.*

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原始信息汇总

American Journal of Public Health 1899-1930 数据集概述

数据集基本信息

• 数据集名称：American Journal of Public Health 1899-1930
• 提供方：Devin Media Corp.
• 数据描述：Complete pre-1930 archive of the American Journal of Public Health (AJPH), the official journal of the American Public Health Association.
• 数据量：45,696 rows
• 数据内容：Clean, structured text documenting the formative decades of public health in the United States.

数据内容详情

涵盖主题

• Early epidemiology and vital statistics
• Sanitation reform and housing policy
• Infectious disease control (tuberculosis, diphtheria, typhoid, Spanish flu)
• Child welfare and school health programs
• Occupational health and industrial hygiene
• The Progressive Era public health movement

适用场景

• LLM fine-tuning on public health and epidemiology
• Public health policy research and history
• Infectious disease modeling and historical epidemiology
• Health equity and social determinants research

数据结构与格式

数据格式

• Snowflake-native JSONL
• 列字段：ISSUE, TITLE, AUTHOR, TYPE, TEXT
• 数据状态：Fully cleaned, bias-audited, and ready for AI training

数据字典（AJPH_CORPUS表）

列名	数据类型	描述
ISSUE	Varchar
TITLE	Varchar
AUTHOR	Varchar
TYPE	Varchar
TEXT	Varchar
INGESTION_DATE	Timestamp_NTZ

业务应用场景

机器学习

• Train, fine-tune, and deploy machine learning models on 45,000+ rows of curated public health text spanning the Progressive Era through 1930.
• Ideal for domain-specific LLM fine-tuning, public health terminology extraction, and epidemiology NLP.

真实世界数据

• Leverage historically documented sanitation practices, infectious disease control, and vital statistics as real-world data for research and analysis.
• This archive captures the birth of modern public health in America.

生命科学商业化

• Support public health research with curated historical literature documenting the development of epidemiology, sanitation, and health promotion.
• Track the evolution of population health from 1911–1930.

使用示例

查看元数据文档

sql SELECT TITLE, TEXT FROM AJPH_CORPUS WHERE TYPE = metadata LIMIT 5;

搜索卫生与健康

sql SELECT ISSUE, TITLE FROM AJPH_CORPUS WHERE TYPE = article AND TEXT ILIKE %sanitation% OR TEXT ILIKE %hygiene% LIMIT 10;

搜索传染病

sql SELECT TITLE, ISSUE FROM AJPH_CORPUS WHERE TYPE = article AND TEXT ILIKE %tuberculosis% OR TEXT ILIKE %influenza% OR TEXT ILIKE %typhoid% LIMIT 10;

数据集技术详情

更新频率

• Annually

地理覆盖范围

• United States

云区域可用性（AWS）

• Canada (Central)
• US East (N. Virginia)
• US East (Ohio)
• US West (Oregon)

法律条款

• Standard

提供商信息

关于Devin Media Corp.

• 专注于为AI训练提供优质历史数据。
• 提供全面、来源可追溯、偏见审核、1930年以前的出版物和档案，经过专业清洗和结构化处理，适用于机器学习应用。
• 数据集涵盖医学、金融、时尚、法律和文化领域，包括一些社会最负盛名和标志性的出版物。
• 每个数据集都具备以下特点：
  • Pre-1930 and verified public domain/Copyright free
  • Professionally OCRd and aggressively cleaned
  • Provenance-tracked and bias-audited
  • Formatted as JSONL for AI-readiness
  • Delivered via secure API (no file downloads)

联系方式

• 销售：[e-mail]
• 支持：[e-mail]