climatic_features_and_COVID19.csv

Name: climatic_features_and_COVID19.csv
Creator: Afrifa, Stephen
Published: 2022-02-03T00:00:00+08:00

Figshare2022-05-18 更新2026-04-08 收录

环境流行病学

气候与传染病

数据链接：

https://figshare.com/articles/dataset/climatic_features_and_COVID19_csv/19116071/1 数据链接链接失效反馈

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资源简介：

This data comprises climatic features and covid-19 confirmed cases which are grouped in ranges

提供机构：

Afrifa, Stephen

创建时间：

2022-02-03

Supplementary Material for: Farming History, Insecticide Exposure and the Risk of ALS Mortality

环境流行病学

职业健康风险

Introduction: ALS is a neurodegenerative disorder with an unknown etiology for 90%-95% of cases. Several environmental and occupational exposures have been investigated although a prospective study e

NIAID Data Ecosystem00

Association of disease with the temperature of five years (2008–2012).

环境流行病学

疾病-温度关联分析

Association of disease with the temperature of five years (2008–2012).

Figshare2018-06-21 更新00

Open access time-series datasets for investigating association between short-term exposure to ambient temperature and influenza incidence in Kawasaki City, Japan

环境流行病学

流感气候关联

The R script reproduces analysis for the association between short-term exposure to mean temperature and influenza incidence in Kawasaki City, Japan.

Zenodo2025-02-04 更新00

Causal associations between environmental factors and risk of IgA nephropathy and membranous nephropathy: a bidirectional Mendelian randomization and mediation analysis

肾脏疾病机制

环境流行病学

IgA nephropathy (IgAN) and membranous nephropathy (MN) have intricate etiologies that are poorly understood. This study aimed to investigate the impact of genetically predicted environmental factors o

NIAID Data Ecosystem00

The association between Vapor Pressure Deficit and arthritis: Evidence from a 10-year longitudinal study of middle-aged and elderly Chinese adults

环境流行病学

慢性病气象关联

Objective: To investigate the association between vapor pressure deficit (VPD) and arthritis in middle-aged and older Chinese adults. Methods: This study utilized data from the China Health and Retir

NIAID Data Ecosystem00

climatic_features_and_COVID19.csv

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