Alert for COVID-19 second wave: A lesson from Vietnam

Le, Thanh Ha; Tran, Trung Hieu

doi:10.7189/jogh.11.03012

Cited by 10 publications

(10 citation statements)

References 1 publication

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“…At the time the Da Nang outbreak started, Vietnam had been virtually COVID-19 free domestically for nearly two months. Unlinked new cases in Da Nang in July [ 6 , 8 ] certainly alarmed the Vietnamese population. As engagements are highly sensitive and context specific, our findings showed significantly higher engagements during the outbreak than before or after the outbreak.…”

Section: Discussionmentioning

confidence: 99%

“…During the first half of 2020, Vietnam had successfully contained the outbreak with no COVID-19 related deaths, and a 99-consecutive-day duration without community transmission [ 4 , 5 ]. On 25 July 2020, a surge of locally acquired COVID-19 cases were identified in Da Nang City in Central Vietnam, a center for foreign trade activities and tourism [ 6 – 8 ]. The outbreak quickly spread to more than 10 provinces and cities across Vietnam, generating nearly 400 cases and causing 35 fatalities in total [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020

et al. 2022

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Background Trends in the public perception and awareness of COVID-19 over time are poorly understood. We conducted a longitudinal study to analyze characteristics and trends of online information during a major COVID-19 outbreak in Da Nang province, Vietnam in July-August 2020 to understand public awareness and perceptions during an epidemic. Methods We collected online information on COVID-19 incidence and mortality from online platforms in Vietnam between 1 July and 15 September, 2020, and assessed their trends over time against the epidemic curve. We explored the associations between engagement, sentiment polarity, and other characteristics of online information with different outbreak phases using Poisson regression and multinomial logistic regression analysis. We assessed the frequency of keywords over time, and conducted a semantic analysis of keywords using word segmentation. Results We found a close association between collected online information and the evolution of the COVID-19 situation in Vietnam. Online information generated higher engagements during compared to before the outbreak. There was a close relationship between sentiment polarity and posts’ topics: the emotional tendencies about COVID-19 mortality were significantly more negative, and more neutral or positive about COVID-19 incidence. Online newspaper reported significantly more information in negative or positive sentiment than online forums or social media. Most topics of public concern followed closely the progression of the COVID-19 situation during the outbreak: development of the global pandemic and vaccination; the unfolding outbreak in Vietnam; and the subsiding of the outbreak after two months. Conclusion This study shows how online information can reflect a public health threat in real time, and provides important insights about public awareness and perception during different outbreak phases. Our findings can help public health decision makers in Vietnam and other low and middle income countries with high internet penetration rates to design more effective communication strategies during critical phases of an epidemic.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020

et al. 2022

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“…Later, in weeks 21-23, the space-time clusters were around Kalmar, Västra Götaland, Värmland and Gävleborg counties. The specific drivers for these early clusters could be linked to early exposures, possibly due to travelers that became sources for community transmission of COVID-19 in the different clustered areas and areas in their surroundings [37]. It could also be true that other areas also had some cases (and possibly clusters in early spring) but were left undetected due to a lack of readiness to test and detect COVID-19 as it was still a new epidemic whose confirmatory tests were still developing at the time.…”

Section: Discussionmentioning

confidence: 99%

Space—Time Surveillance of COVID-19 Seasonal Clusters: A Case of Sweden

Aturinde

Mansourian

2022

IJGI

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While COVID-19 is a global pandemic, different countries have experienced different morbidity and mortality patterns. We employ retrospective and prospective space–time permutation analysis on COVID-19 positive records across different municipalities in Sweden from March 2020 to February 2021, using data provided by the Swedish Public Health Agency. To the best of our knowledge, this is the first study analyzing nationwide COVID-19 space–time clustering in Sweden, on a season-to-season basis. Our results show that different municipalities within Sweden experienced varying extents of season-dependent COVID-19 clustering in both the spatial and temporal dimensions. The reasons for the observed differences could be related to the differences in the earlier exposures to the virus, the strictness of the social restrictions, testing capabilities and preparedness. By profiling COVID-19 space–time clusters before the introduction of vaccines, this study contributes to public health efforts aimed at containing the virus by providing plausible evidence in evaluating which epidemiologic interventions in the different regions could have worked and what could have not worked.

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“…Towards the latter half of 2020, Vietnam experienced an increasing risk through unauthorized entry without quarantine upon arrival. It has been suggested that the biggest cluster in July (Period 5) was due to undetected imported cases through unauthorized entry, since the city – Da Nang – is important for foreign companies and industries in Vietnam ( Le and Tran, 2021 , Pham et al, 2021 ). During this time, several cases of illegal trespassing were detected across the country, some of which were detected in the epicenter of the cluster itself ( Nguyen, 2020 , Thien Nhan, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Association of public health interventions and COVID-19 incidence in Vietnam, January to December 2020

Quach¹,

Nguyen

Hoang³

et al. 2021

International Journal of Infectious Diseases

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Background Vietnam implemented various public health interventions such as contact tracing and testing, mandatory quarantine, and lockdowns in response to COVID-19. However, the effects of these measures on the epidemic remain unclear. Methods We described public health interventions in relation to COVID-19 incidence. We used maximum likelihood estimations to assess containment delays (time between symptom onset and start of isolation) and multivariable regression to identify associated factors between interventions and COVID-19 incidence. We calculated effective reproductive numbers (Rt) based on transmission pairs. Results Interventions were introduced periodically in response to the epidemic. 817 (55.4%) among 1,474 COVID-19 cases were imported. Based on a serial interval of 8.72 (±5.65) days, we estimated Rt to reduce below 1 (lowest at 0.02 (95%CI 0-0.12)) during periods of strict border control and contact tracing, and to increase ahead of new clusters. The main method to detect cases shifted over time from passive notification to active case finding at immigration or in lockdown areas, with containment delays showing significant differences between modes of case detection. Conclusion A combination of early, strict and consistently implemented of interventions is crucial to control COVID-19. Low-middle income countries with limited capacity can contain COVID-19 successfully using non-pharmaceutical interventions.

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Alert for COVID-19 second wave: A lesson from Vietnam

Cited by 10 publications

References 1 publication

Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020

Using ‘infodemics’ to understand public awareness and perception of SARS-CoV-2: A longitudinal analysis of online information about COVID-19 incidence and mortality during a major outbreak in Vietnam, July—September 2020

Space—Time Surveillance of COVID-19 Seasonal Clusters: A Case of Sweden

Association of public health interventions and COVID-19 incidence in Vietnam, January to December 2020

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