Characteristics of COVID-19 fatality cases in East Kalimantan, Indonesia

  1. Swandari Paramita
  2. Ronny Isnuwardana
  3. Krispinus Duma
  4. Rahmat Bakhtiar
  5. Muhammad Khairul Nuryanto
  6. Riries Choiru Pramulia Yudia
  7. Evi Fitriany
  8. Meiliati Aminyoto

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Abstract

Introduction

Coronavirus Disease (COVID-19) is caused by SARS-CoV-2 infection. On March 2, 2020, Indonesia announced the first confirmed cases of COVID-19 infection. East Kalimantan will play an important role as the new capital of Indonesia. There is attention to the preparedness of East Kalimantan to respond to COVID-19. We report the characteristics of COVID-19 fatality cases in here.

Methods

We retrospectively analyzed the fatality cases of COVID-19 patients from the East Kalimantan Health Office information system. All patients were confirmed COVID-19 by RT-PCR examination.

Results

By July 31, 2020, 31 fatality cases of patients had been identified as having confirmed COVID-19 in East Kalimantan. The mean age of the patients was 55.1 ± 9.2 years. Most of the patients were men (22 [71.0%]) with age more than 60 years old (14 [45.2%]). Balikpapan has the highest number of COVID-19 fatality cases from all regencies. Hypertension was the most comorbidities in the fatality cases of COVID-19 patients in East Kalimantan.

Discussion

Older age and comorbidities still contributed to the fatality cases of COVID-19 patients in East Kalimantan, Indonesia. Hypertension, diabetes, cardiovascular disease, and cerebrovascular disease were underlying conditions for increasing the risk of COVID-19 getting into a serious condition.

Conclusion

Active surveillance for people older than 60 years old and having underlying diseases is needed for reducing the case fatality rate of COVID-19 in East Kalimantan.

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    SciScore for 10.1101/2020.08.01.20166470: (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
    Statistical analyses were done using Microsoft Excel.
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)

    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: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    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.
    • No protocol registration statement was detected.

    About SciScore

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  2. Version published to 10.1101/2020.08.01.20166470v1 on medRxiv