Role of pollution and weather indicators in the COVID-19 outbreak: A brief study on Delhi, India

  1. Kuldeep Singh
  2. Aryan Agarwal

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Abstract

The present study examines the impact of environment pollution indicators and weather indicators on the COVID-19 outbreak in the capital city of India. In this study, we hypothesize that certain weather conditions with an atmosphere having high content of air pollutants, might impact the transmission of COVID-19, in addition to the direct human to human diffusion. The Kendall and Spearman rank correlation tests were chosen as an empirical methodology to conduct the statistical analysis. In this regard, we compiled a daily dataset of COVID-19 cases (Confirmed, Recovered, Deceased), Weather indicators (Temperature and relative humidity) and pollution indicators (PM 2.5, PM 10, NO2, CO, and SO2) in Delhi state of India. The effects of each parameter within three time frames of same day, 7 days ago, and 14 days ago are evaluated. This study reveal a significant correlation between the transmission of COVID-19 outbreaks and the atmospheric pollutants with a combination of specific climatic conditions. The findings of this research will help the policymakers to identify risky geographic areas and enforce timely preventive measures.

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  1. ScreenIT

    SciScore for 10.1101/2021.01.04.21249249: (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

    No key resources detected.

    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 shown evidence of pollution and weather indicators correlation with COVID-19 cases; however, there are various limitations under which this study has been conducted. The variables such as lockdown measures, people’s individual immunity, migration index, and other climate indicators can impact the results presented in this study.

    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 10.1101/2021.01.04.21249249v1 on medRxiv