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Published in: BMC Infectious Diseases 1/2021

Open Access 01-12-2021 | Nosocomial Infection | Research

Spatiotemporal distribution of COVID-19 during the first 7 months of the epidemic in Vietnam

Authors: Toshie Manabe, Dung Phan, Yasuhiro Nohara, Dan Kambayashi, Thang Huu Nguyen, Thanh Van Do, Koichiro Kudo

Published in: BMC Infectious Diseases | Issue 1/2021

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Abstract

Background

Understanding the spatiotemporal distribution of emerging infectious diseases is crucial for implementation of control measures. In the first 7 months from the occurrence of COVID-19 pandemic, Vietnam has documented comparatively few cases of COVID-19. Understanding the spatiotemporal distribution of these cases may contribute to development of global countermeasures.

Methods

We assessed the spatiotemporal distribution of COVID-19 from 23 January to 31 July 2020 in Vietnam. Data were collected from reports of the World Health Organization, the Vietnam Ministry of Health, and related websites. Temporal distribution was assessed via the transmission classification (local or quarantined cases). Geographical distribution was assessed via the number of cases in each province along with their timelines. The most likely disease clusters with elevated incidence were assessed via calculation of the relative risk (RR).

Results

Among 544 observed cases of COVID-19, the median age was 35 years, 54.8% were men, and 50.9% were diagnosed during quarantine. During the observation period, there were four phases: Phase 1, COVID-19 cases occurred sporadically in January and February 2020; Phase 2, an epidemic wave occurred from the 1st week of March to the middle of April (Wave 1); Phase 3, only quarantining cases were involved; and Phase 4, a second epidemic wave began on July 25th, 2020 (Wave 2). A spatial cluster in Phase 1 was detected in Vinh Phuc Province (RR, 38.052). In Phase 2, primary spatial clusters were identified in the areas of Hanoi and Ha Nam Province (RR, 6.357). In Phase 4, a spatial cluster was detected in Da Nang, a popular coastal tourist destination (RR, 70.401).

Conclusions

Spatial disease clustering of COVID-19 in Vietnam was associated with large cities, tourist destinations, people’s mobility, and the occurrence of nosocomial infections. Past experiences with outbreaks of emerging infectious diseases led to quick implementation of governmental countermeasures against COVID-19 and a general acceptance of these measures by the population. The behaviors of the population and the government, as well as the country’s age distribution, may have contributed to the low incidence and small number of severe COVID-19 cases.
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Literature
1.
go back to reference Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan, China: the mystery and the miracle. J Med Virol. 2020;92(4):401–2.CrossRef Lu H, Stratton CW, Tang YW. Outbreak of pneumonia of unknown etiology in Wuhan, China: the mystery and the miracle. J Med Virol. 2020;92(4):401–2.CrossRef
4.
go back to reference Phan LT, Nguyen TV, Luong QC, Nguyen TV, Nguyen HT, Le HQ, et al. Importation and human-to-human transmission of a novel coronavirus in Vietnam. N Engl J Med. 2020;382(9):872–4.CrossRef Phan LT, Nguyen TV, Luong QC, Nguyen TV, Nguyen HT, Le HQ, et al. Importation and human-to-human transmission of a novel coronavirus in Vietnam. N Engl J Med. 2020;382(9):872–4.CrossRef
7.
go back to reference Tango T. Statistical methods for disease clustering. Berlin: Springer; 2010.CrossRef Tango T. Statistical methods for disease clustering. Berlin: Springer; 2010.CrossRef
18.
go back to reference Tango T, Takahashi K. A flexible spatial scan statistic with a restricted likelihood ratio for detecting disease clusters. Stat Med. 2012;31(30):4207–18.CrossRef Tango T, Takahashi K. A flexible spatial scan statistic with a restricted likelihood ratio for detecting disease clusters. Stat Med. 2012;31(30):4207–18.CrossRef
19.
go back to reference Tango T. A spatial scan statistic with a restricted likelihood ratio. Jpn J Biom. 2008;29:75–95.CrossRef Tango T. A spatial scan statistic with a restricted likelihood ratio. Jpn J Biom. 2008;29:75–95.CrossRef
26.
go back to reference Vu TH, Cabau JF, Nguyen NT, Lenoir M. SARS in Northern Vietnam. N Engl J Med. 2003;348:2035.CrossRef Vu TH, Cabau JF, Nguyen NT, Lenoir M. SARS in Northern Vietnam. N Engl J Med. 2003;348:2035.CrossRef
34.
go back to reference Ohara H. SARS epidemics in Vietnam and China-outlines and control measures. ITRO. 2004;58(3):143–8 (Japanese). Ohara H. SARS epidemics in Vietnam and China-outlines and control measures. ITRO. 2004;58(3):143–8 (Japanese).
42.
go back to reference Pan D, Sze S, Minhas JS, Bangash MN, Pareek N, Divall P, et al. The impact of ethnicity on clinical outcomes in COVID-19: a systematic review. EClinicalMedicine. 2020;23:100404.CrossRef Pan D, Sze S, Minhas JS, Bangash MN, Pareek N, Divall P, et al. The impact of ethnicity on clinical outcomes in COVID-19: a systematic review. EClinicalMedicine. 2020;23:100404.CrossRef
Metadata
Title
Spatiotemporal distribution of COVID-19 during the first 7 months of the epidemic in Vietnam
Authors
Toshie Manabe
Dung Phan
Yasuhiro Nohara
Dan Kambayashi
Thang Huu Nguyen
Thanh Van Do
Koichiro Kudo
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2021
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-021-06822-0

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