본문 바로가기

추천 검색어

실시간 인기 검색어

학술논문

Forecasting the effects of vaccination on the COVID-19 pandemic in Malaysia using SEIRV compartmental models

이용수 0

영문명
Forecasting the effects of vaccination on the COVID-19 pandemic in Malaysia using SEIRV compartmental models
발행기관
한국역학회
저자명
Mei Cheng Lim Sarbhan Singh Chee Herng Lai Balvinder Singh Gill Mohd Kamarulariffin Kamarudin Ahmed Syahmi Syafiq Md Zamri Cia Vei Tan Asrul Anuar Zulkifli Mohamad Nadzmi Md Nadzri Nur’ain Mohd Ghazali Sumarni Mohd Ghazali Nuur Hafizah Md Iderus Nur Ar Rabiah Binti Ahmad Jeyanthi Suppiah Kok Keng Tee Tahir Aris Lonny Chen Rong Qi Ahmad
간행물 정보
『Epidemiology and Health』45, 1~9쪽, 전체 9쪽
주제분류
의약학 > 면역학
파일형태
PDF
발행일자
2023.01.01
4,000

구매일시로부터 72시간 이내에 다운로드 가능합니다.
이 학술논문 정보는 (주)교보문고와 각 발행기관 사이에 저작물 이용 계약이 체결된 것으로, 교보문고를 통해 제공되고 있습니다.

1:1 문의
논문 표지

국문 초록

영문 초록

OBJECTIVES: This study aimed to develop susceptible-exposed-infectious-recovered-vaccinated (SEIRV) models to examine the effects of vaccination on coronavirus disease 2019 (COVID-19) case trends in Malaysia during Phase 3 of the National COVID-19 Immunization Program amidst the Delta outbreak. METHODS: SEIRV models were developed and validated using COVID-19 case and vaccination data from the Ministry of Health, Malaysia, from June 21, 2021 to July 21, 2021 to generate forecasts of COVID-19 cases from July 22, 2021 to December 31, 2021. Three scenarios were examined to measure the effects of vaccination on COVID-19 case trends. Scenarios 1 and 2 represented the trends taking into account the earliest and latest possible times of achieving full vaccination for 80% of the adult population by October 31, 2021 and December 31, 2021, respectively. Scenario 3 described a scenario without vaccination for comparison. RESULTS: In scenario 1, forecasted cases peaked on August 28, 2021, which was close to the peak of observed cases on August 26, 2021. The observed peak was 20.27% higher than in scenario 1 and 10.37% lower than in scenario 2. The cumulative observed cases from July 22, 2021 to December 31, 2021 were 13.29% higher than in scenario 1 and 55.19% lower than in scenario 2. The daily COVID-19 case trends closely mirrored the forecast of COVID-19 cases in scenario 1 (best-case scenario). CONCLUSIONS: Our study demonstrated that COVID-19 vaccination reduced COVID-19 case trends during the Delta outbreak. The compartmental models developed assisted in the management and control of the COVID-19 pandemic in Malaysia.

목차

INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
DATA AVAILABILITY
SUPPLEMENTARY MATERIALS
CONFLICT OF INTEREST
FUNDING
ACKNOWLEDGEMENTS
AUTHOR CONTRIBUTIONS
ORCID
REFERENCES

키워드

해당간행물 수록 논문

참고문헌

교보eBook 첫 방문을 환영 합니다!

신규가입 혜택 지급이 완료 되었습니다.

바로 사용 가능한 교보e캐시 1,000원 (유효기간 7일)
지금 바로 교보eBook의 다양한 콘텐츠를 이용해 보세요!

교보e캐시 1,000원
TOP
인용하기
APA

Mei Cheng Lim,Sarbhan Singh,Chee Herng Lai,Balvinder Singh Gill,Mohd Kamarulariffin Kamarudin,Ahmed Syahmi Syafiq Md Zamri,Cia Vei Tan,Asrul Anuar Zulkifli,Mohamad Nadzmi Md Nadzri,Nur’ain Mohd Ghazali,Sumarni Mohd Ghazali,Nuur Hafizah Md Iderus,Nur Ar Rabiah Binti Ahmad,Jeyanthi Suppiah,Kok Keng Tee,Tahir Aris,Lonny Chen Rong Qi Ahmad. (2023).Forecasting the effects of vaccination on the COVID-19 pandemic in Malaysia using SEIRV compartmental models. Epidemiology and Health, 45 (), 1-9

MLA

Mei Cheng Lim,Sarbhan Singh,Chee Herng Lai,Balvinder Singh Gill,Mohd Kamarulariffin Kamarudin,Ahmed Syahmi Syafiq Md Zamri,Cia Vei Tan,Asrul Anuar Zulkifli,Mohamad Nadzmi Md Nadzri,Nur’ain Mohd Ghazali,Sumarni Mohd Ghazali,Nuur Hafizah Md Iderus,Nur Ar Rabiah Binti Ahmad,Jeyanthi Suppiah,Kok Keng Tee,Tahir Aris,Lonny Chen Rong Qi Ahmad. "Forecasting the effects of vaccination on the COVID-19 pandemic in Malaysia using SEIRV compartmental models." Epidemiology and Health, (2023): 1-9

결제완료
e캐시 원 결제 계속 하시겠습니까?
교보 e캐시 간편 결제