Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:

Lethal Alleles

Lethal Alleles

Agouti: A Lethal Allele
Lucien Cuénot discovered lethal alleles in 1905 while studying the inheritance of coat color in mice. The agouti gene is responsible for the color of the coat in mice. This gene codes for an agouti-signaling protein, which is responsible for melanin distribution in mammals. The wild-type allele gives rise to gray-brown coat color in mice, while the mutant allele gives rise to yellow coat color. In addition to coat color, the agouti gene is associated with the yellow...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic.

JAMA network open·2024

Same author

State-Level Excess Mortality and Potential Deaths Averted in US Adults During the Delta and Omicron Waves of COVID-19.

Journal of general internal medicine·2023

Same author

Massachusetts Data on Excess Mortality During the Delta and Omicron Waves of COVID-19.

JAMA·2022

Same author

Uncoupling of all-cause excess mortality from COVID-19 cases in a highly vaccinated state.

The Lancet. Infectious diseases·2022

Same author

Excess Mortality in Massachusetts During the Delta and Omicron Waves of COVID-19.

JAMA·2022

Same author

Leading Causes of Death Among Adults Aged 25 to 44 Years by Race and Ethnicity in Texas During the COVID-19 Pandemic, March to December 2020.

JAMA internal medicine·2021

Search research articles

Related Experiment Video

Updated: Jun 13, 2025

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

Firearm Laws and Pediatric Mortality in the US.

Jeremy Samuel Faust¹, Ji Chen², Shriya Bhat³

¹Department of Emergency Medicine, Mass General Brigham, Division of Health Services Research, Harvard Medical School, Boston, Massachusetts.

JAMA Pediatrics

|June 9, 2025

Summary

Firearm deaths in US children increased significantly in states with permissive gun laws after the 2010 McDonald v Chicago Supreme Court decision. Strict firearm laws were associated with decreased pediatric firearm mortality.

More Related Videos

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury

Published on: January 20, 2023

Description of a Swine Infant Model of Volume-Controlled Hemorrhagic Shock

Description of a Swine Infant Model of Volume-Controlled Hemorrhagic Shock

Published on: November 3, 2023

Related Experiment Videos

Last Updated: Jun 13, 2025

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

A Pediatric Concussion Model in Mice: Closed Head Injury with Long-Term Disorders (CHILD)

Published on: February 7, 2025

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury

Published on: January 20, 2023

Description of a Swine Infant Model of Volume-Controlled Hemorrhagic Shock

Description of a Swine Infant Model of Volume-Controlled Hemorrhagic Shock

Published on: November 3, 2023

Area of Science:

Public Health
Epidemiology
Legal Studies

Background:

Firearm-related injuries are a leading cause of death for children and adolescents in the United States.
The impact of the legal landscape on pediatric firearm mortality following the 2010 McDonald v Chicago Supreme Court decision remains understudied.

Purpose of the Study:

To quantify excess firearm mortality among US children (aged 0-17) subsequent to the 2010 McDonald v Chicago Supreme Court ruling.
To analyze the association between state firearm regulations and pediatric firearm death rates.

Main Methods:

Excess mortality analysis using CDC WONDER database (1999-2023).
States categorized into three groups: most permissive, permissive, and strict firearm laws.
Comparison of firearm mortality trends pre- and post-McDonald v Chicago decision (2010), by intent (homicide, suicide), and by race/ethnicity.

Main Results:

The most permissive and permissive firearm law states experienced 6,029 and 1,424 excess pediatric firearm deaths, respectively, post-2010.
Strict firearm law states showed a decrease of 55 excess deaths.
Non-Hispanic Black populations faced the largest increase in firearm mortality in more permissive states. California, Maryland, New York, and Rhode Island (strict states) saw decreased pediatric firearm mortality.

Conclusions:

States with more permissive firearm laws experienced higher pediatric firearm mortality after the McDonald v Chicago decision.
Further research is needed to identify specific laws contributing to harm or protection.