Annual prevalence of non-communicable diseases and identification of vulnerable populations following the Fukushima disaster and COVID-19 pandemic

  1. Michio Murakami
  2. Shuhei Nomura

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1016/j.ijdrr.2022.103471
  2. ScreenIT

    SciScore for 10.1101/2022.05.18.22275293: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Oracle Crystal Ball (Version 11.1.2.4.900) and IBM SPSS Statistics (Version 28) were used for the analysis.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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:
    This study has some limitations. First, the target population was employees of companies and their dependent family members. The findings of this study cannot be generalized to the entire population and other countries. Furthermore, only the population aged 74 years and below were included in this study. Although COVID-19 isolation measures are known to worsen cognitive and mental health among people with dementia [36], this study was unable to assess the secondary health effects among the population aged 75 years and older. Second, we could not fully examine the possibility of changes in accessibility to healthcare facilities after the Fukushima disaster or the COVID-19 outbreak compared to accessibility to health care before the disaster and outbreak. However, it is unlikely that NCDs were overlooked before the disaster or outbreak, since employees of companies, the target population of this study, generally receive regular health checkups. Third, this study was based on an ecological study design and did not identify the causes of changes in the prevalence of various diseases. Long-term cohort studies based on individuals exposed to disasters and pandemics are expected to assess the impact of disasters and pandemics on secondary health and identify the factors that influence this impact. Despite these limitations, this study provided unique insights into the secondary health effects of the Fukushima disaster and COVID-19 outbreak and identified age and sex groups that were...

    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.

    Results from scite Reference Check: We found no unreliable references.

    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.

  3. Version published to 10.1101/2022.05.18.22275293v1 on medRxiv