A Comparison of Covid-19 Patient Characteristics Before versus After Partial Lockdown in Vietnam

  1. Hoang-Long Vo
  2. Kim-Duy Vu

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Abstract

Background

Given the Covid-19’ sudden rapid spread in the community since 25 July 2020, an updated analysis of Covid-19 cases was conducted to examine the differences of characteristics of Covid-19 patients before versus after partial lockdown end in Vietnam.

Methods

Data of 569 Covid-19 patients confirmed SARS-CoV-2 infection from 23 January to 31 July was collected from available official databases. We divided Covid-19 situation timeline into two main periods, before lockdown end (23 January – 22 April) and after lockdown end (23 April – 31 July).

Results

We found significant variations in the distribution of Covid-19 patients among different provinces between two periods. Covid-19 confirmed patients were older in the time after lockdown end compared to in the period before lockdown end by a median of 5 years. All discharged Covid-19 patients and no Covid-19 death were in the phase before lockdown, while post lockdown period had still remained significant patients being under treatment, especially reported first fatalities. The number of Covid-19 patients who returned from other countries (excluding China) slightly increased through two stages (p >0.05), partially showing that the continuous volume of people returning Vietnam from abroad during the Covid-19 epidemic.

Conclusions

Our analysis indicated demographic and epidemiological disparity of Covid-19 patients before versus after loosening the national partial lockdown in Vietnam. It is important to suggest that, proactive efforts in Covid-19 control after partial lockdown end will be effective when the measures to closely control and monitor repatriation and immigration via the borders of Vietnam are strictly enforced.

What is already known on this topic

  • Most of Covid-19 confirmed patients in Vietnam were acquired overseas.

  • In Vietnam, Covid-19 epidemic had the low estimated reproduction ratio (R 0 ) and SARS-CoV-2 spread was on the downward trend before July 25.

What this study adds

  • Covid-19 confirmed patients were older in the time after lockdown end compared to in the period before lockdown end by a median of 5 years.

  • All discharged Covid-19 patients and no Covid-19 death were in the phase before lockdown, while post lockdown period had still remained significant patients being under treatment, especially reported first fatalities.

  • Continuous volume of people returning Vietnam from abroad through two stages during the Covid-19 epidemic.

  • Our analysis might be considered as a prompt reference source for further in-depth surveys to understand the adaptive models of Covid-19 patients among different provinces.

Article activity feed

  1. Version published to 10.1101/2020.08.27.20183616v3 on medRxiv
  2. Version published to 10.1101/2020.08.27.20183616v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.08.27.20183616: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All statistical analyses in this paper were conducted by Stata® 15 (StataCorp LLC, USA).
    StataCorp
    suggested: (Stata, RRID:SCR_012763)

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    The present results should be viewed with the limitations. First, because the paper’ secondary analysis data was collected from two publicly available datasets, the information of the exposure history, clinical symptoms or signs, radiologic assessments, laboratory testing as well as the other risks could be unknown. Second, the challenges in national large-scale coronavirus testing resulted in the underestimated true number of Covid-19 infections. Finally, due the ongoing Covid-19 pandemic with the more complicated situation in Vietnam, the current estimates are temporary at the time of this writing.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a protocol registration statement.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  4. Version published to 10.1101/2020.08.27.20183616v1 on medRxiv