Newcomb-Benford law analysis on COVID-19 daily infection cases and deaths in Indonesia and Malaysia
Heritage and Sustainable Development
; 3(2):102-110, 2021.
Article
in English
| ProQuest Central | ID: covidwho-2026738
ABSTRACT
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 period between March and November 2020. 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 datasets. A chi-squared test was recruited to quantify the closeness of the data and Newcomb-Benford law distributions. 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. 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.
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Heritage and Sustainable Development
Year:
2021
Document Type:
Article
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