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Madhur Chandra

Biographic Data

ID6061559
NAMEMadhur Chandra
GIVEN NAMESMadhur
FAMILY NAMEChandra
SIGNATURECHANDRA M
AFFILIATIONSSiddharth Chandra is with the Asian Studies Center, James Madison College, and Department of Epidemiology and Biostatistics (by courtesy), Michigan State University, East Lansing, MI. Julia Christensen is with James Madison College, Michigan State University. Madhur Chandra is with the Ingham County Health Department, Lansing, MI, and Department of Epidemiology and Biostatistics, Michigan State University. Nigel Paneth is with the Department of Epidemiology and Biostatistics and Pediatrics, Michigan...
ORCID0000-0003-1292-3462
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS3
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Deviation in the Age Structure of Mortality as an Indicator of Covid-19 Pandemic Severity

    Siddharth Chandra, Madhur Chandra•ARTICLE•American Journal of Public Health•2022•References: 6

    Objectives. To test whether distortions in the age distribution of deaths can track pandemic activity. Methods. We compared weekly distributions of all-cause deaths by age during the COVID-19 pandemic in the United States from March to December 2020 with corresponding prepandemic weekly baseline distributions derived from data for 2015 to 2019. We measured distortions via Kolmogorov–Smirnov (K-S) and χ 2 goodness-of-fit statistics as well as deat…

  • Pandemic Reemergence and Four Waves of Excess Mortality Coinciding With the 1918 Influenza Pandemic in Michigan

    Siddharth Chandra, Julia Christensen et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 3•References: 25

    The global influenza pandemic that emerged in 1918 has become the event of reference for a broad spectrum of policymakers seeking to learn from the past. This article sheds light on multiple waves of excess mortality that occurred in the US state of Michigan at the time with insights into how epidemics might evolve and propagate across space and time. We analyzed original monthly data on all-cause deaths by county for the 83 counties of Michigan …

  • Pandemic Reemergence and Four Waves of Excess Mortality Coinciding With the 1918 Influenza Pandemic in Michigan

    Siddharth Chandra, Julia Christensen et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 3•References: 25

    The global influenza pandemic that emerged in 1918 has become the event of reference for a broad spectrum of policymakers seeking to learn from the past. This article sheds light on multiple waves of excess mortality that occurred in the US state of Michigan at the time with insights into how epidemics might evolve and propagate across space and time. We analyzed original monthly data on all-cause deaths by county for the 83 counties of Michigan …

  • Pandemic Reemergence and Four Waves of Excess Mortality Coinciding With the 1918 Influenza Pandemic in Michigan

    Siddharth Chandra, Julia Christensen et al.•ARTICLE•American Journal of Public Health•2021•Cited by: 3•References: 25

    The global influenza pandemic that emerged in 1918 has become the event of reference for a broad spectrum of policymakers seeking to learn from the past. This article sheds light on multiple waves of excess mortality that occurred in the US state of Michigan at the time with insights into how epidemics might evolve and propagate across space and time. We analyzed original monthly data on all-cause deaths by county for the 83 counties of Michigan …

  • Deviation in the Age Structure of Mortality as an Indicator of Covid-19 Pandemic Severity

    Siddharth Chandra, Madhur Chandra•ARTICLE•American Journal of Public Health•2022•References: 6

    Objectives. To test whether distortions in the age distribution of deaths can track pandemic activity. Methods. We compared weekly distributions of all-cause deaths by age during the COVID-19 pandemic in the United States from March to December 2020 with corresponding prepandemic weekly baseline distributions derived from data for 2015 to 2019. We measured distortions via Kolmogorov–Smirnov (K-S) and χ 2 goodness-of-fit statistics as well as deat…

Coronavirus disease 2019 (COVID-19) (2 works) · COVID-19 epidemiological studies (2 works) · Demography (2 works) · Disease (2 works) · Environmental health (2 works) · Medicine (2 works) · Pandemic (2 works) · Pathology (2 works) · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (2 works) · 2019-20 coronavirus outbreak (1 works)

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