COVID-19 Testing, Epidemic Features, Hospital Outcomes, and Household Prevalence, New York State-March 2020

Eli S Rosenberg1, Elizabeth M Dufort2, Debra S Blog2

  • 1University at Albany School of Public Health, State University of New York, Rensselaer, New York, USA.

Insights

In March 2020, New York State experienced a significant COVID-19 outbreak. Early cases showed high household infection rates, with increasing risks of hospitalization and death by month

Area of Science:

  • Epidemiology
  • Infectious Diseases
  • Public Health

Background:

  • New York State became the epicenter of the US coronavirus disease 2019 (COVID-19) epidemic in March 2020.
  • The epidemic was characterized by substantial hospitalizations and mortality.
  • This study focuses on testing, risk factors, outcomes, and household prevalence during the initial phase of the outbreak in New York State.

Purpose of the Study:

  • To report the extent of COVID-19 testing and test results in New York State during March 2020.
  • To identify risk factors and outcomes associated with COVID-19.
  • To determine household prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among initial cases.

Main Methods:

  • COVID-19 testing was performed in healthcare settings, community sites, and via home testing.
  • Data on demographics, risk factors, and hospital outcomes were collected through epidemiological investigations and electronic medical records.
  • Household prevalence was estimated by testing household members of initial COVID-19 cases.

Main Results:

  • In March 2020, New York State reported 47,326 positive COVID-19 cases out of 141,495 tests (33% positivity rate), with the highest concentration in metropolitan counties.
  • Among 229 initial cases diagnosed by March 12, 13% were hospitalized and 2% died by March 30.
  • Testing of 498 household members revealed a 57% infection rate (38% excluding first-reported cases), with a significant age gradient in prevalence (23% in <5 years to 68% in ≥65 years).

Conclusions:

  • New York State experienced a substantial and escalating COVID-19 outbreak in March 2020.
  • Early COVID-19 cases demonstrated high household infection rates.
  • By the end of March, the risks of hospitalization and mortality associated with COVID-19 were significant.
Abstract

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
418
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.4K
Statistical Methods for Analyzing Epidemiological Data01:25

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:
814
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.5K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
394
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
1.1K