Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/129331
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DC Field | Value | Language |
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dc.contributor.author | Bhandari, D. | en |
dc.contributor.author | Bi, P. | en |
dc.contributor.author | Dhimal, M. | en |
dc.contributor.author | Sherchand, J.B. | en |
dc.contributor.author | Hanson-Easey, S. | en |
dc.date.issued | 2020 | en |
dc.identifier.citation | Science of the Total Environment, 2020; 748:141376-1-141376-8 | en |
dc.identifier.issn | 0048-9697 | en |
dc.identifier.issn | 1879-1026 | en |
dc.identifier.uri | http://hdl.handle.net/2440/129331 | - |
dc.description | Available online 30 July 2020 | en |
dc.description.abstract | Introduction: This study aimed to investigate the effects of temperature variability on rotavirus infections among children under 5 years of age in Kathmandu, Nepal. Findings may informinfection control planning, especially in relation to the role of environmental factors in the transmission of rotavirus infection. Methods: Generalized linear Poisson regression equationswith distributed lag non-linearmodelwere fitted to estimate the effect of temperature (maximum,mean and minimum) variation onweekly counts of rotavirus infections among children under 5 years of age living in Kathmandu, Nepal, over the study period (2013 to 2016). Seasonality and long-term effects were adjusted in the model using Fourier terms up to the seventh harmonic and a time function, respectively. We further adjusted the model for the confounding effects of rainfall and relative humidity. Results: During the study period, a total of 733 cases of rotavirus infection were recorded, with amean of 3 cases per week. We detected an inverse non-linear association between rotavirus infection and average weekly mean temperature, with increased risk (RR: 1.52; 95% CI: 1.08–2.15) at the lower quantile (10th percentile) and decreased risk (RR: 0.64; 95% CI: 0.43–0.95) at the higher quantile (75th percentile). Similarly, we detected an increased risk [(RR: 1.93; 95% CI: 1.40–2.65) and (RR: 1.42; 95% CI: 1.04–1.95)] of rotavirus infection for both maximum and minimum temperature at their lower quantile (10th percentile). We estimated that 344 (47.01%) cases of rotavirus diarrhoea among the children under 5 years of age were attributable to minimum temperature. The significant effect of temperature on rotavirus infectionwas not observed beyond lag zero week. Conclusion: An inverse non-linear association was estimated between rotavirus incidence and all three indices of temperature, indicating a higher risk of infection during the cooler times of the year, and suggesting that transmission of rotavirus in Kathmandu, Nepal may be influenced by temperature. | en |
dc.description.statementofresponsibility | Dinesh Bhandari, Peng Bi, Meghnath Dhimal, Jeevan Bahadur Sherchand, Scott Hanson-Easey | en |
dc.language.iso | en | en |
dc.publisher | Elsevier BV | en |
dc.rights | © 2020 Elsevier B.V. All rights reserved. | en |
dc.source.uri | https://www.sciencedirect.com/science/article/pii/S0048969720349056 | en |
dc.subject | Rotavirus; Environmental factors; Epidemiology; Children; Nepal | en |
dc.title | Non-linear effect of temperature variation on childhood rotavirus infection: A time series study from Kathmandu, Nepal | en |
dc.type | Journal article | en |
dc.identifier.doi | 10.1016/j.scitotenv.2020.141376 | en |
pubs.publication-status | Published | en |
dc.identifier.orcid | Bhandari, D. [0000-0002-0979-1406] | en |
dc.identifier.orcid | Bi, P. [0000-0002-3238-3427] | en |
dc.identifier.orcid | Hanson-Easey, S. [0000-0002-5767-0545] | en |
Appears in Collections: | Aurora harvest 4 Public Health publications |
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File | Description | Size | Format | |
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hdl_129331.pdf | Accepted version | 2.58 MB | Adobe PDF | View/Open |
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