Arsenic exposure from drinking water, and all-cause and chronic-disease mortalities in Bangladesh (HEALS): a prospective cohort study-Reference-Cited by-同舟云学术

Arsenic exposure from drinking water, and all-cause and chronic-disease mortalities in Bangladesh (HEALS): a prospective cohort study

Published:2010-07 Issue:9737 Volume:376 Page:252-258
ISSN:0140-6736
Container-title:The Lancet
language:en
Short-container-title:The Lancet

Author:

Argos Maria,Kalra Tara,Rathouz Paul J,Chen Yu,Pierce Brandon,Parvez Faruque,Islam Tariqul,Ahmed Alauddin,Rakibuz-Zaman Muhammad,Hasan Rabiul,Sarwar Golam,Slavkovich Vesna,van Geen Alexander,Graziano Joseph,Ahsan Habibul

Publisher

Elsevier BV

Subject

General Medicine

Reference30 articles.

1. Water sanitation and health,2004

2. Associations between drinking water and urinary arsenic levels and skin lesions in Bangladesh;Ahsan;J Occup Environ Med,2000

3. Contamination of drinking-water by arsenic in Bangladesh: a public health emergency;Smith;Bull World Health Organ,2000

4. Is colon cancer mortality related to arsenic exposure?;Yang;J Toxicol Environ Health A,2008

5. A retrospective study on malignant neoplasms of bladder, lung and liver in blackfoot disease endemic area in Taiwan;Chen;Br J Cancer,1986

Cited by 577 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Critical review on toxic contaminants in surface water ecosystem: sources, monitoring, and its impact on human health;Environmental Science and Pollution Research;2024-09-13

2. Evaluation of arsenic phytoremediation potential in Azolla filiculoides Lam. plants under low pH stress conditions;Plant Physiology and Biochemistry;2024-09

3. Sprinkler irrigation: An efficient and eco-friendly approach to produce safe rice;Journal of Agriculture and Food Research;2024-09

4. Comparative assessment of fluoride and arsenic mobilization mechanisms among the groundwater of the major affected river basins of India;Water Supply;2024-08-27

5. Predicting Arsenic Contamination in Groundwater: A Comparative Analysis of Machine Learning Models in Coastal Floodplains and Inland Basins;Water;2024-08-14