Literature DB >> 27343948

Identification of environmental determinants for spatio-temporal patterns of norovirus outbreaks in Korea using a geographic information system and binary response models.

Jin Hwi Kim1, Dong Hoon Lee1, Yongsung Joo2, Kyung Duk Zoh3, Gwangpyo Ko3, Joo-Hyon Kang4.   

Abstract

Although norovirus outbreaks are well-recognized to have strong winter seasonality relevant to low temperature and humidity, the role of artificial human-made features within geographical areas in norovirus outbreaks has rarely been studied. The aim of this study is to assess the natural and human-made environmental factors favoring the occurrence of norovirus outbreaks using nationwide surveillance data. We used a geographic information system and binary response models to examine whether the norovirus outbreaks are spatially patterned and whether these patterns are associated with specific environmental variables including service levels of water supply and sanitation systems and land-use types. The results showed that small-scale low-tech local sewage treatment plants and winter sports areas were statistically significant factors favoring norovirus outbreaks. Compactness of the land development also affected the occurrence of norovirus outbreaks; transportation, water, and forest land-uses were less favored for effective transmission of norovirus, while commercial areas were associated with an increased rate of norovirus outbreaks. We observed associations of norovirus outbreaks with various outcomes of human activities, including discharge of poorly treated sewage, overcrowding of people during winter season, and compactness of land development, which might help prioritize target regions and strategies for the management of norovirus outbreaks.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial neural networks; Fecal contamination; Geographic information system; Land use; Logistic regression; Norovirus

Mesh:

Year:  2016        PMID: 27343948     DOI: 10.1016/j.scitotenv.2016.06.144

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  3 in total

Review 1.  The COVID-19 pandemic: Virus transmission and risk assessment.

Authors:  N Gayathri Menon; Sanjeeb Mohapatra
Journal:  Curr Opin Environ Sci Health       Date:  2022-06-01

Review 2.  Sewage surveillance for SARS-CoV-2: Molecular detection, quantification, and normalization factors.

Authors:  Payal Mazumder; Siddhant Dash; Ryo Honda; Christian Sonne; Manish Kumar
Journal:  Curr Opin Environ Sci Health       Date:  2022-04-10

3.  Burden of Disease Attributable to Inadequate Drinking Water, Sanitation, and Hygiene in Korea.

Authors:  Jong-Hun Kim; Hae-Kwan Cheong; Byoung-Hak Jeon
Journal:  J Korean Med Sci       Date:  2018-10-18       Impact factor: 2.153

  3 in total

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