Research Square preprint.
ISSN/ISBN: Not available at this time. DOI: 10.21203/rs.3.rs-131072/v1
Abstract: Aims: Each country has been racing to contain the spread of COVID-19. The published data of daily infection and death cases can be used to measure the effectiveness of the control interventions. We focus our study in two Southeast Asia countries: Indonesia and Malaysia during time period between March and November 2020. Methods: Newcomb-Benford law has been commonly used to analyze the probabilities of the first significant digits in natural occurrences since the late 19th century. It is a prominent statistical tool for its capability to detect frauds in data sets. A chi-squared test was recruited to quantify the closeness of the data and Newcomb-Benford law distributions. Results: The results revealed that the distributions of daily infection and death cases in Indonesia followed Newcomb-Benford law while the opposite results were obtained for Malaysia. Conclusion: We have done the analysis of verifying the daily COVID-19 infection and death cases in Indonesia and Malaysia using Newcomb-Benford law. It can be inferred that, between March and November 2020, the control interventions in Indonesia was less effective compared to Malaysia.
Bibtex:
@misc {,
title = {{Newcomb-Benford Law Analysis on COVID-19 Daily Infection Cases and Deaths in Indonesia and Malaysia}},
author = {Wong, Wei Kitt and Juwono, Filbert and Loh, Wan Ning and Ngu, Ik Ying},
doi = {10.21203/rs.3.rs-131072/v1},
publisher = {Research Square},
year = {2020},
URL = {https://europepmc.org/article/PPR/PPR255562},
}
Reference Type: Preprint
Subject Area(s): Medical Sciences