Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis.
Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis.
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DOI:
10.1007/s12640-017-9740-y
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发表时间:
2018-01
影响因子:
3.7
通讯作者:
Shi X
中科院分区:
文献类型:
--
作者:
Torbick N;Ziniti B;Stommel E;Linder E;Andrew A;Caller T;Haney J;Bradley W;Henegan PL;Shi X
Reoccurring seasonal cyanobacterial harmful algal blooms (CHABs) persist in many waters, and recent work has shown links between CHAB and elevated risk of amyotrophic lateral sclerosis (ALS). Quantifying the exposure levels of CHAB as a potential risk factor for ALS is complicated by human mobility, potential pathways, and data availability. In this work, we develop phycocyanin concentration (i.e., CHAB exposure) maps using satellite remote sensing across northern New England to assess relationships with ALS cases using a spatial epidemiological approach. Strategic semi-analytical regression models integrated Landsat and in situ observations to map phycocyanin concentration (PC) for all lakes greater than 8 ha (n = 4117) across the region. Then, systematic versions of a Bayesian Poisson Log-linear model were fit to assess the mapped PC as a risk factor for ALS while accounting for model uncertainty and modifiable area unit problems. The satellite remote sensing of PC had strong overall ability to map conditions (adj. R2, 0.86; RMSE, 11.92) and spatial variability across the region. PC tended to be positively associated with ALS risk with the level of significance depending on fixed model components. Meta-analysis shows that when average PC exposure is 100 μg/L, an all model average odds ratio is 1.48, meaning there is about a 48% increase in average ALS risk. This research generated the first regionally comprehensive map of PC for thousands of lakes and integrated robust spatial uncertainty. The outcomes support the hypothesis that cyanotoxins increase the risk of ALS, which helps our understanding of the etiology of ALS.
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DOI:
10.1080/10618600.2014.948178
发表时间:
2015-09-16
期刊:
Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America
影响因子:
--
作者:
Hughes J
通讯作者:
Hughes J
DOI:
10.1098/rspb.2015.2397
发表时间:
2016-01-27
期刊:
Proceedings. Biological sciences
影响因子:
--
作者:
Cox PA;Davis DA;Mash DC;Metcalf JS;Banack SA
通讯作者:
Banack SA
影响因子:
9.9
作者:
Cox, PA;Sacks, OW
通讯作者:
Sacks, OW
DOI:
10.1073/pnas.2235808100
发表时间:
2003-11-11
影响因子:
11.1
作者:
Cox, PA;Banack, SA;Murch, SJ
通讯作者:
Murch, SJ
DOI:
10.1111/j.1467-9868.2012.01041.x
发表时间:
2013-01-01
影响因子:
5.8
作者:
Hughes, John;Haran, Murali
通讯作者:
Haran, Murali