Knowledge, Attitudes, and Practices in Adapting to COVID-19 Pandemic Conditions a Cross-sectional Survey among Mongolian Residents

Buuveidulam Altansukh; Suvd Batbaatar; Enkhjargal Altangerel; Suvd Sodnomdarjaa; Chinzorig Bat-Erdene; Bolor Beejin

Knowledge, Attitudes, and Practices in Adapting to COVID-19 Pandemic Conditions a Cross-sectional Survey among Mongolian Residents

Buuveidulam Altansukh *

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Suvd Batbaatar

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Enkhjargal Altangerel

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Suvd Sodnomdarjaa

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Chinzorig Bat-Erdene

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Bolor Beejin

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Knowledge, Attitudes, and Practices in Adapting to COVID-19 Pandemic Conditions a Cross-sectional Survey among Mongolian Residents

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Abstract

This survey aims to compare the level of knowledge, attitudes, and practices of the population towards coronavirus infection with the results of the baseline survey result; to define the challenges faced by the participants and the behavioral changes when they have overcome and are adapting to the new style; to develop and disseminate evidence-based recommendations for decision-makers who are dealing with the pandemic. A total of 1896 people aged 15-60 years old participated in the study. The survey data were collected using quantitative (questionnaire) and qualitative (observation) methods. The survey questionnaire consisted of 45 questions of 6 chapters: demographic, knowledge, attitude and adaptation practice towards coronavirus infection, patient satisfaction with health care service delivery, and information demand.

References

15 Cites in Article

Reference Format

B Suvd,R Nergui,A Buuveidulam (2021). Knowledge, attitudes, practices and perception towards COVID-19: a cross-sectional survey among Mongolian residents.
Kai Xiao,Qiu Khut,Phuong Nguyen,Ariuntuya Ochirpurev,Sean Casey,Jessica Kayamori-Lopes,Gina Samaan (2020). Progress on International Health Regulations (2005) core capacities in WHO's Western Pacific Region.
(2020). Protecting Children from Violence in the Time of COVID-19.
(2020). Summer 2021 COVID-19 Survey Results: American School District Panel Interactive Survey Results Tool.
B Zhong,W Luo,H Li (2020). Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey.
Yaqing Fang,Panpan Liu,Qisheng Gao (2021). Assessment of Knowledge, Attitude, and Practice Toward COVID-19 in China: An Online Cross-Sectional Survey.
Karpal Sohal,Rewald Moris,Jeremiah Moshy (2022). Knowledge, attitudes, and practices related to COVID-19 among patients attending public dental clinics in Tanzania: A cross-sectional study.
Y Peng,C Pei,Y Zheng (1292). A cross-sectional survey of knowledge, attitude and practice associated with COVID-19 among undergraduate students in China.
J Brown Wilson,A Deckert,R Shah (2021). COVID-19-related knowledge, attitudes and practices: a mixed-mode cross-sectional survey in Liberia.
Onesmus Kamacooko,Jonathan Kitonsa,Ubaldo Bahemuka,Freddie Kibengo,Anne Wajja,Vincent Basajja,Alfred Lumala,Ayoub Kakande,Paddy Kafeero,Edward Ssemwanga,Robert Asaba,Joseph Mugisha,Benjamin Pierce,Robin Shattock,Pontiano Kaleebu,Eugene Ruzagira (2021). Knowledge, Attitudes, and Practices Regarding COVID-19 among Healthcare Workers in Uganda: A Cross-Sectional Survey.
Ahsan Raquib,Radwan Raquib,Safayet Jamil,Ahmed Hossain,Firoj Al-Mamun,Mohammed Mamun (2022). Knowledge, Attitudes, and Practices Toward the Prevention of COVID-19 in Bangladesh: A Systematic Review and Meta-Analysis.
Chee-Shee Chai,Diana-Leh-Ching Ng,Wei Chua,Yu-Zhen Tung,Woweham Sindeh,Muhammad Ibrahim,Siti Badlishah Sham,Seng-Beng Tan (2022). Knowledge, Attitude, and Practices Among the General Population During the Later Stage of the COVID-19 Pandemic in Malaysia: A Cross-Sectional Study.
Nazila Nejhaddadgar,Narges Pirani,Nasrin Heydarian,Amir Ebadi Fard Azar,Fateme Yazdi,Razie Toghroli,Fakhreddin Chaboksavar,Somayyeh Shalchi Oghli,Neda Kianipour,Abdolhamid Zokaei,Azadeh Foroughinia (2022). Knowledge, attitude, and practice toward the COVID-19 infection among adults Iran: A cross-sectional study.
Arina Azlan,Mohammad Hamzah,Tham Sern,Suffian Ayub,Emma Mohamad (2022). Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia.
Communicable Diseases Branch (2022). Communicable Diseases Report, NSW, January and February 2009.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Buuveidulam Altansukh, Suvd Batbaatar, Enkhjargal Altangerel, Suvd Sodnomdarjaa, Chinzorig Bat-Erdene, Bolor Beejin. 2026. "Knowledge, Attitudes, and Practices in Adapting to COVID-19 Pandemic Conditions a Cross-sectional Survey among Mongolian Residents". Global Journal of Medical Research - K: Interdisciplinary GJMR-K Volume 23 (GJMR Volume 23 Issue K1).

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GJMR Volume 23 Issue K1

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Journal Specifications

Crossref Journal DOI 10.17406/gjmr

Print ISSN 0975-5888

e-ISSN 2249-4618

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GJMR-K Classification DDC Code: 398 LCC Code: PH107

Submission ReceivedJanuary 24, 2023
Peer Review Double Blind
Handling Editor
Accepted January 31, 2023
Published March 16, 2023

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v1.2

Issue date

March 16, 2023

Language

English

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