Related Experiment Video
Updated: Aug 10, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Increase in Massachusetts deaths with ICD-10 codes associated with COVID-19 during the first four months of 2020
1Massachusetts College of Pharmacy and Public Health Sciences University, Boston, MA, United States of America.
Background:
Previous research has suggested that some COVID-19 infections and deaths have gone unrecorded, especially in the early days of the pandemic. Therefore, it is likely that people in Massachusetts were exposed to, infected with, and died from COVID-19 before the first death was recorded and that other deaths in early 2020 may have been due to COVID-19, but were not coded that way. This study sought to determine the number of deaths in the first 4 months of 2020 that may have been due to COVID-19, by comparing deaths with selected ICD-10 codes to the same time frame in 2019 and 2018.
Methods:
Death certificate information was obtained for the first 21 weeks of 2018, 2019, and 2020. We calculated and compared the number of deaths for specific ICD-10 codes that may be related to COVID-19 during this time period for each year.
Results:
There was a notable increase in deaths potentially related to COVID-19 between the 11th and 17th weeks of 2020 in comparison with the same time period in 2018 and 2019.
Conclusions:
Even after Massachusetts began recording deaths as being due to COVID-19, the number of deaths that may have been due to the disease was higher than would have been expected based on data from the two preceding years. These findings may indicate that some COVID-19 deaths were not being recorded or that the pandemic was exacerbating other health issues.
Related Concept Videos
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Statistical Methods for Analyzing Epidemiological Data
Diagnostic and Statistical Manual of Mental Disorders (DSM)
Causality in Epidemiology

