Your browser doesn't support javascript.
Estimating the infection-fatality risk of SARS-CoV-2 in New York City during the spring 2020 pandemic wave: a model-based analysis.
Yang, Wan; Kandula, Sasikiran; Huynh, Mary; Greene, Sharon K; Van Wye, Gretchen; Li, Wenhui; Chan, Hiu Tai; McGibbon, Emily; Yeung, Alice; Olson, Don; Fine, Anne; Shaman, Jeffrey.
  • Yang W; Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY, USA. Electronic address: wy2202@cumc.columbia.edu.
  • Kandula S; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, NY, USA.
  • Huynh M; Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Greene SK; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Van Wye G; Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Li W; Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Chan HT; Bureau of Vital Statistics, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • McGibbon E; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Yeung A; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Olson D; Bureau of Equitable Health Systems, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Fine A; Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York City, NY, USA.
  • Shaman J; Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York City, NY, USA.
Lancet Infect Dis ; 21(2): 203-212, 2021 02.
Article in English | MEDLINE | ID: covidwho-1137671
ABSTRACT

BACKGROUND:

As the COVID-19 pandemic continues to unfold, the infection-fatality risk (ie, risk of death among all infected individuals including those with asymptomatic and mild infections) is crucial for gauging the burden of death due to COVID-19 in the coming months or years. Here, we estimate the infection-fatality risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in New York City, NY, USA, the first epidemic centre in the USA, where the infection-fatality risk remains unclear.

METHODS:

In this model-based analysis, we developed a meta-population network model-inference system to estimate the underlying SARS-CoV-2 infection rate in New York City during the 2020 spring pandemic wave using available case, mortality, and mobility data. Based on these estimates, we further estimated the infection-fatality risk for all ages overall and for five age groups (<25, 25-44, 45-64, 65-74, and ≥75 years) separately, during the period March 1 to June 6, 2020 (ie, before the city began a phased reopening).

FINDINGS:

During the period March 1 to June 6, 2020, 205 639 people had a laboratory-confirmed infection with SARS-CoV-2 and 21 447 confirmed and probable COVID-19-related deaths occurred among residents of New York City. We estimated an overall infection-fatality risk of 1·39% (95% credible interval 1·04-1·77) in New York City. Our estimated infection-fatality risk for the two oldest age groups (65-74 and ≥75 years) was much higher than the younger age groups, with a cumulative estimated infection-fatality risk of 0·116% (0·0729-0·148) for those aged 25-44 years and 0·939% (0·729-1·19) for those aged 45-64 years versus 4·87% (3·37-6·89) for those aged 65-74 years and 14·2% (10·2-18·1) for those aged 75 years and older. In particular, weekly infection-fatality risk was estimated to be as high as 6·72% (5·52-8·01) for those aged 65-74 years and 19·1% (14·7-21·9) for those aged 75 years and older.

INTERPRETATION:

Our results are based on more complete ascertainment of COVID-19-related deaths in New York City than other places and thus probably reflect the true higher burden of death due to COVID-19 than that previously reported elsewhere. Given the high infection-fatality risk of SARS-CoV-2, governments must account for and closely monitor the infection rate and population health outcomes and enact prompt public health responses accordingly as the COVID-19 pandemic unfolds.

FUNDING:

National Institute of Allergy and Infectious Diseases, National Science Foundation Rapid Response Research Program, and New York City Department of Health and Mental Hygiene.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Male / Middle aged / Infant, Newborn Country/Region as subject: North America Language: English Journal: Lancet Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / SARS-CoV-2 / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews Limits: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Male / Middle aged / Infant, Newborn Country/Region as subject: North America Language: English Journal: Lancet Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article