Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis

Carrel, Margaret; Escamilla, Verónica; Messina, Jane P.; Giebultowicz, Sophia; Winston, Jennifer; Yunus, Muhammad; Streatfield, Peter Kim; Emch, Michael

doi:10.1186/1476-072x-10-41

Cited by 26 publications

(22 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This is consistent with recent studies showing that rotavirus transmission is sensitive to interannual variation in flooding [8], and that waterborne transmission alone is sufficient to spread the virus between hydrologically connected locations [7]. The use of tubewells has also been shown to provide a protective effect against other diarrheal diseases in Bangladesh, such as cholera [11,12] and shigellosis [12], especially in areas that are not protected from flooding [13]. Tubewells are less likely to be contaminated during flooding events as they source water from deeper underground compared to other water supply systems.…”

Section: Discussionsupporting

confidence: 90%

Tubewell use protects against rotavirus infection during the monsoons in an urban setting

Martinez

Mahmud

Yunus

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

Rotavirus, a diarrheal pathogen spread via fecal-oral transmission, is typically characterized by a winter incidence peak in most countries. Unlike for cholera and other water-borne infections, the role of environmental and socioeconomic factors on the spatial variation of rotavirus seasonality remains unclear. Here, we analyze their association with rotavirus seasonality, specifically the odds of monsoon cases, across 46 locations from 2001 to 2012 in Dhaka. Drinking water from tubewells, compared to other sources, has a clear protective effect against cases during the monsoon, when flooding and water contamination are more likely. This finding supports a significant environmental component of transmission.

show abstract

Section: Discussionsupporting

confidence: 90%

Tubewell use protects against rotavirus infection during the monsoons in an urban setting

Martinez

Mahmud

Yunus

et al. 2019

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition, GWR considers spatial autocorrelation, which is difficult to deal with in traditional statistical models (Brown et al, 2012). As an emerging technique, GWR has recently been applied in several disciplines, such as identification of high crime areas (Cahill and Mulligan, 2007), forest damage evaluations (Pineda et al, 2010), human health and disease analysis (Carrel et al, 2011), and atmospheric pollutant assessment (Song et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

Chen

Mei

Dahlgren

et al. 2016

Science of The Total Environment

162

View full text Add to dashboard Cite

• The modified GWR models had higher R 2 and reflected the actual spatial features.• A manual variable excluding-selecting method is explored to avoid multicollinearity.• Influences of the dominant indicator on water quality varied with space and seasons.• Protection policies need consider sitespecific conditions and seasonal variations. G R A P H I C A L A B S T R A C Ta b s t r a c t a r t i c l e i n f o As an important regulator of pollutants in overland flow and interflow, land use has become an essential research component for determining the relationships between surface water quality and pollution sources. This study investigated the use of ordinary least squares (OLS) and geographically weighted regression (GWR) models to identify the impact of land use and population density on surface water quality in the Wen-Rui Tang River watershed of eastern China. A manual variable excluding-selecting method was explored to resolve multicollinearity issues. Standard regression coefficient analysis coupled with cluster analysis was introduced to determine which variable had the greatest influence on water quality. Results showed that: (1) Impact of land use on water quality varied with spatial and seasonal scales. Both positive and negative effects for certain land-use indicators were found in different subcatchments. (2) Urban land was the dominant factor influencing N, P and chemical oxygen demand (COD) in highly urbanized regions, but the relationship was weak as the pollutants were mainly from point sources. Agricultural land was the primary factor influencing N and P in suburban and rural areas; the relationship was strong as the pollutants were mainly from agricultural surface runoff. Subcatchments located in suburban areas were identified with urban land as the primary influencing factor during the wet season while agricultural land was identified as a more prevalent influencing factor during the dry season. (3) Adjusted R 2 values in OLS models using the manual variable excluding-selecting method averaged 14.3% higher than using stepwise multiple linear regressions. However, the corresponding GWR models had adjusted R 2~5 9.2% higher than the optimal OLS models, confirming that GWR models demonstrated better prediction accuracy. Based on our findings, water resource protection policies should consider site-specific land-use Contents lists available at ScienceDirectScience of the Total Environment j o u r n a l h o m e p a g e : w w w . e l s e v i e r . c o m / l o c a t e / s c i t o t e n v conditions within each watershed to optimize mitigation strategies for contrasting land-use characteristics and seasonal variations.

show abstract

“…[44][45][46] Using the results from the GWR model for atopic dermatitis, we created maps to visualize the main findings of concentrations of PM10 and atopic dermatitis risks across sub-districts in Seoul.…”

Section: Methodsmentioning

confidence: 99%

GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy

Seo

Kim

Min

et al. 2016

Allergy Asthma Immunol Res

View full text Add to dashboard Cite

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Purpose:The role of PM10 in the development of allergic diseases remains controversial among epidemiological studies, partly due to the inability to control for spatial variations in large-scale risk factors. This study aims to investigate spatial correspondence between the level of PM10 and allergic diseases at the sub-district level in Seoul, Korea, in order to evaluate whether the impact of PM10 is observable and spatially varies across the subdistricts. Methods: PM10 measurements at 25 monitoring stations in the city were interpolated to 424 sub-districts where annual inpatient and outpatient count data for 3 types of allergic diseases (atopic dermatitis, asthma, and allergic rhinitis) were collected. We estimated multiple ordinary least square regression models to examine the association of the PM10 level with each of the allergic diseases, controlling for various sub-district level covariates. Geographically weighted regression (GWR) models were conducted to evaluate how the impact of PM10 varies across the sub-districts. Results: PM10 was found to be a significant predictor of atopic dermatitis patient count (P<0.01), with greater association when spatially interpolated at the sub-district level. No significant effect of PM10 was observed on allergic rhinitis and asthma when socioeconomic factors were controlled for. GWR models revealed spatial variation of PM10 effects on atopic dermatitis across the sub-districts in Seoul. The relationship of PM10 levels to atopic dermatitis patient counts is found to be significant only in the Gangbuk region (P<0.01), along with other covariates including average land value, poverty rate, level of education and apartment rate (P<0.01). Conclusions: Our findings imply that PM10 effects on allergic diseases might not be consistent throughout Seoul. GIS-based spatial modeling techniques could play a role in evaluating spatial variation of air pollution impacts on allergic diseases at the sub-district level, which could provide valuable guidelines for environmental and public health policymakers.

show abstract

Diarrheal disease risk in rural Bangladesh decreases as tubewell density increases: a zero-inflated and geographically weighted analysis

Cited by 26 publications

References 23 publications

Tubewell use protects against rotavirus infection during the monsoons in an urban setting

Tubewell use protects against rotavirus infection during the monsoons in an urban setting

Impacts of land use and population density on seasonal surface water quality using a modified geographically weighted regression

GIS-based Association Between PM10 and Allergic Diseases in Seoul: Implications for Health and Environmental Policy

Contact Info

Product

Resources

About