Literature DB >> 34932242

COVID-19 worries, concerns and mitigation behaviours: A snapshot of Nepal during the first wave.

Melanie S Askari1, Emily Treleaven1, Dirgha Ghimire1,2, William Axinn1, Sabrina Hermosilla1.   

Abstract

OBJECTIVES: To understand COVID-19 worries and how they influence COVID-19 mitigation behaviours, especially in communities prior to case surges, in Nepal.
METHODS: Data related to COVID-19 impacts on life disruptions were collected from households in the Chitwan Valley Family Study, a 25-year community panel study, during February-April 2021. COVID-19 worry was measured by the extent of respondent concern for themselves or household members getting COVID-19 in the prior 2 weeks. 11 items examined COVID-19 mitigation behaviours. Logistic regression models assessed associations between socio-demographic characteristics and COVID-19 worry and then the influence of worry on any mitigation behaviour and behaviour type adjusting for age, education, sex, ethnicity and COVID-19 exposure, accounting for neighbourhood clustering.
RESULTS: Of 2,678 households with a responding adult, ages 18-88, 394 (14.7%) reported moderate-to-extreme COVID-19 worry and 1,214 (45.3%) engaged in three or more mitigation behaviours. Prevalence of mitigation behaviours was higher among those with COVID-19 worry (e.g. avoided crowds: 62.7% versus 40.5% in those with minimal worry). Respondents self-reporting COVID-19 had higher odds of worry (adjusted odds ratio [aOR]: 2.73, 95% confidence interval [CI]: 1.13, 6.57). Odds of any mitigation behaviour were higher among those with COVID-19 worry compared to those with minimal worry (aOR: 6.19, 95% CI = 1.88, 20.35).
CONCLUSIONS: COVID-19 mitigation behaviours were more common in people with COVID-19 worry. To address current and potential future waves of the pandemic, public health efforts should include informational campaigns about mitigation behaviours particularly for those unconcerned with COVID-19 risks.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; epidemiology; international health

Mesh:

Year:  2021        PMID: 34932242      PMCID: PMC8906281          DOI: 10.1111/tmi.13713

Source DB:  PubMed          Journal:  Trop Med Int Health        ISSN: 1360-2276            Impact factor:   2.622


  24 in total

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2.  Collecting Survey Data during Armed Conflict.

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Review 3.  An evidence review of face masks against COVID-19.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-26       Impact factor: 12.779

4.  Psychological impact of 'Lockdown' due to COVID-19 pandemic in Nepal: An online survey.

Authors:  Anoop Krishna Gupta; Swapnajeet Sahoo; Aseem Mehra; Sandeep Grover
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Review 5.  The perils of COVID-19 in Nepal: Implications for population health and nutritional status.

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7.  Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic.

Authors:  Nicholas W Papageorge; Matthew V Zahn; Michèle Belot; Eline van den Broek-Altenburg; Syngjoo Choi; Julian C Jamison; Egon Tripodi
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9.  Low uptake of COVID-19 prevention behaviours and high socioeconomic impact of lockdown measures in South Asia: Evidence from a large-scale multi-country surveillance programme.

Authors:  Dian Kusuma; Rajendra Pradeepa; Khadija I Khawaja; Mehedi Hasan; Samreen Siddiqui; Sara Mahmood; Syed Mohsin Ali Shah; Chamini K De Silva; Laksara de Silva; Manoja Gamage; Menka Loomba; Vindya P Rajakaruna; Abu Am Hanif; Rajan Babu Kamalesh; Balachandran Kumarendran; Marie Loh; Archa Misra; Asma Tassawar; Akansha Tyagi; Swati Waghdhare; Saira Burney; Sajjad Ahmad; Viswanathan Mohan; Malabika Sarker; Ian Y Goon; Anuradhani Kasturiratne; Jaspal S Kooner; Prasad Katulanda; Sujeet Jha; Ranjit Mohan Anjana; Malay K Mridha; Franco Sassi; John C Chambers
Journal:  SSM Popul Health       Date:  2021-02-13

10.  An interactive web-based dashboard to track COVID-19 in real time.

Authors:  Ensheng Dong; Hongru Du; Lauren Gardner
Journal:  Lancet Infect Dis       Date:  2020-02-19       Impact factor: 25.071

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