Skip to content
Harvard T.H. Chan School of Public HealthHarvard T.H. Chan School of Public Health main site homepage
  • Quicklinks
    • About the School
    • Academics
    • Admissions
    • Research
    • Faculty
    • Student Life
    • News
    • Alumni
    • Frontiers
    • Make A Gift
Center for Communicable Disease Dynamics
Center for Communicable Disease Dynamics
  • Home
  • About
    • Director’s Welcome
    • About the Center
    • People
    • News & Events
      • Events Calendar
      • ID Epi Spring Seminar Series
      • 7th Annual Conference to Increase Diversity in Mathematical Modeling and Public Health
    • Opportunities
    • Contact
  • Publications
  • COVID-19
  • External COVID-19 Initiatives
  • Support CCDD

Publications

Filter Results

Addendum: Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China.

Author(s): Wu JT, Leung K, Kishore N, Niehus R, De Salazar PM, Cowling BJ, Lipsitch M, Leung GM|Journal: Nat Med|PMID: 32661399| May 2020
On 17 April 2020, the Wuhan Municipal Health Commission revised the official COVID-19 death counts in Wuhan up by 1,290…

Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China.

Author(s): Wu JT, Leung K, Bushman M, Kishore N, Niehus R, De Salazar PM, Cowling BJ, Lipsitch M, Leung GM|Journal: Nat Med|PMID: 32284616| March 2020
As of 29 February 2020 there were 79,394 confirmed cases and 2,838 deaths from COVID-19 in mainland China. Of these,…

Case-based surveillance of antimicrobial resistance with full susceptibility profiles.

Author(s): Ryu S, Cowling BJ, Wu P, Olesen S, Fraser C, Sun DS, Lipsitch M, Grad YH|Journal: JAC Antimicrob Resist|PMID: 32280945| December 2019
Surveillance of antimicrobial resistance (AMR) is essential for clinical decision-making and for public health authorities to monitor patterns in resistance…

The use of test-negative controls to monitor vaccine effectiveness: a systematic review of methodology.

Author(s): Chua H, Feng S, Lewnard JA, Sullivan SG, Blyth CC, Lipsitch M, Cowling BJ|Journal: Epidemiology|PMID: 31609860| October 2019
The test-negative design is an increasingly popular approach for estimating vaccine effectiveness (VE) due to its efficiency. This review aims…

Accounting for unobserved and differential susceptible time at risk in retrospective studies: response to Dean (2019).

Author(s): Lewnard JA, Tedijanto C, Cowling BJ, Lipsitch M|Journal: Am J Epidemiol|PMID: 30689694| February 2019

Measurement of Vaccine Direct Effects Under the Test-Negative Design.

Author(s): Lewnard JA, Tedijanto C, Cowling BJ, Lipsitch M|Journal: Am J Epidemiol|PMID: 30099505| December 2018
Test-negative designs are commonplace in assessments of influenza vaccination effectiveness, estimating this value from the exposure odds ratio of vaccination…

Zika vaccine trials.

Author(s): Lipsitch M, Cowling BJ|Journal: Science|PMID: 27609872| September 2016

Utilizing syndromic surveillance data for estimating levels of influenza circulation.

Author(s): Patterson-Lomba O, Van Noort S, Cowling BJ, Wallinga J, Gomes MG, Lipsitch M, Goldstein E|Journal: Am J Epidemiol|PMID: 24748609| June 2014
The availability of weekly Web-based participatory surveillance data on self-reported influenza-like illness (ILI), defined here as self-reported fever and cough/sore…

Searching for sharp drops in the incidence of pandemic A/H1N1 influenza by single year of age.

Author(s): Jacobs JH, Archer BN, Baker MG, Cowling BJ, Heffernan RT, Mercer G, Uez O, Hanshaoworakul W, Viboud C, Schwartz J, Tchetgen Tchetgen E, Lipsitch M|Journal: PLoS One|PMID: 22876316| January 2012
During the 2009 H1N1 pandemic (pH1N1), morbidity and mortality sparing was observed among the elderly population; it was hypothesized that…

Estimating incidence curves of several infections using symptom surveillance data.

Author(s): Goldstein E, Cowling BJ, Aiello AE, Takahashi S, King G, Lu Y, Lipsitch M|Journal: PLoS One|PMID: 21887246| January 2011
We introduce a method for estimating incidence curves of several co-circulating infectious pathogens, where each infection has its own probabilities…

Posts navigation

Page 1 Page 2 Next page

Center for Communicable Disease Dynamics on Twitter

  • @michaelmina_lab @CCDD_HSPH @TheCOVIDCollab @HartSurveys You continue to avoid mentioning the high rate of false negatives.
  • RT @michaelmina_lab: THREAD: NEW INFORMATION! A first of its kind national survey out today from @CCDD_HSPH @TheCOVIDCollab and @HartSurve…
  • RT @michaelmina_lab: THREAD: NEW INFORMATION! A first of its kind national survey out today from @CCDD_HSPH @TheCOVIDCollab and @HartSurve…
  • RT @michaelmina_lab: THREAD: NEW INFORMATION! A first of its kind national survey out today from @CCDD_HSPH @TheCOVIDCollab and @HartSurve…
  • @nailbomb3 @covid19_experts @michaelmina_lab @CCDD_HSPH @TheCOVIDCollab @HartSurveys If businesses require covid n… https://t.co/mXR5tVF77Q
  • @covid19_experts @michaelmina_lab @CCDD_HSPH @TheCOVIDCollab @HartSurveys .gov price of BinaxNOW was 5.00/unit. S… https://t.co/Pj3eEUZW86
Harvard T.H. Chan School of Public Health
677 Huntington Avenue Boston, MA 02115
+1 (617) 495‑1000
  • Harvard Chan Home
  • Contact Us
  • Harvard University Home
  • Make a Gift
  • Privacy Policy
  • Report Copyright Violation
  • Accessibility
Copyright © The President and Fellows of Harvard College