Radon concentration in well water from Namom district (Southern Thailand): a factor influencing cancer risk

2017 ◽  
Vol 313 (1) ◽  
pp. 123-130 ◽  
Author(s):  
Pattama Pisapak ◽  
Tripob Bhongsuwan
1992 ◽  
Vol 6 (3) ◽  
pp. 150-152 ◽  
Author(s):  
Hjordis M Foy ◽  
Samran Tarmapai ◽  
Poovanon Eamchan ◽  
Orapun Metdilogkul

Endemic arsenic poisoning manifested by palmoplantar keratoderma and hyperpigmentation was surveyed in a village in a tin and wolfram mining area in southern Thailand where two cases of Bowen's carcinoma had occurred. Nine percent of examined adults randomly selected from 58 households were found to have skin manifestations of arsenic poisoning. Also, children with typical palmoplantar keratoderma were recognized, the youngest being four years old. A seven-year-old with severe keratoderma also had neurological manifestations and appeared mentally retarded. Arsenic concentration in shallow wells varied between 0.02-2.7 mg/1 (average 0.82), and piped water had 0.07 mg/1. A major source of the contamination of ground water probably was slag heaps positioned next to a stream that led the village.


Cancer ◽  
2016 ◽  
Vol 122 (15) ◽  
pp. 2291-2291 ◽  
Author(s):  
Carrie Printz

2020 ◽  
Vol 33 (4) ◽  
pp. 27
Author(s):  
N. A. Mohammed ◽  
S. A. Ebrahiem

During the winter, in the industry region (Shaikh Omer) and by applying a passive radon detector (CR-39), lung cancer risk has been measured in twelve rooms of different workshops of two old factories in this site. The radon concentration is ranged from (123.345 Bq/m3) to (328.985 Bq/m3) with an average of (244.19±61.52 Bq/m3). Lung cancer risk ranged from 55.993 to 149.346 per million people and with an average of (110.855 per million people) which were lower than the recommended values (170-230 per million people), so there was no cancer risk on workers in these locations.


2013 ◽  
Vol 156 (4) ◽  
pp. 489-494 ◽  
Author(s):  
M. Erdogan ◽  
N. Eren ◽  
S. Demirel ◽  
V. Zedef

2010 ◽  
Vol 179 (1-4) ◽  
pp. 499-507 ◽  
Author(s):  
Ali Reza Pardakhti ◽  
Gholam Reza Nabi Bidhendi ◽  
Ali Torabian ◽  
Abdolreza Karbassi ◽  
Masood Yunesian

2021 ◽  
Vol 14 (3) ◽  
pp. 41-55
Author(s):  
M. V. Zhukovsky ◽  
I. V. Yarmoshenko ◽  
A. D. Onishchenko ◽  
G. P. Malinovsky

An application of geometric mixed additive-multiplicative models for lung cancer risk modeling under combined action of radon and smoking is justified in this paper. The geometric mixed model allows: 1) to reduce the discrepancies between estimates of the lung cancer risk for males and females, 2) to predict the population risk under condition of the varying smoking prevalence and changing average indoor radon concentration level. Using the geometric mixed model, the calculation of the lung cancer risks for the Russian Federation population was carried out for different percentages of smokers among the population, an increase in life expectancy, and a change in the average radon concentration level in residential buildings. Assuming that currently rounded average indoor radon concentration in Russia is 50 Bq/m3, the contribution of radon to total mortality in 2009 was 0.46% and 0.20% for male and female, respectively. Modeling has shown that the effect of lung cancer mortality reducing due to the predicted decrease in the proportion of smoking population will partly be offset by an increase in the realization of lung cancer risk with the life expectancy increase. For a hypothetical situation, when the entire population maintain a healthy lifestyle and mortality from cardiovascular, oncological, infectious diseases, diseases of the respiratory tract and from external causes has significantly decreased, the contribution of radon exposure to total mortality will increase to about 0.8%. If the average level of radon in buildings will increase due to energy-efficient technologies widespread implementation in building construction, the contribution of radon to total mortality will be even more noticeable. 


2017 ◽  
Vol 314 (3) ◽  
pp. 1877-1883
Author(s):  
Sabiha-Javied ◽  
Arif Mahmood ◽  
M. Tufail ◽  
M. Ikram Shahzad ◽  
Mahwish Jabeen ◽  
...  

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