Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Bhramar Mukherjee and Maxwell Salvatore.
Connection Strength

3.476
  1. A Phenome-Wide Association Study (PheWAS) of COVID-19 Outcomes by Race Using the Electronic Health Records Data in Michigan Medicine. J Clin Med. 2021 Mar 25; 10(7).
    View in: PubMed
    Score: 0.936
  2. Comprehensive public health evaluation of lockdown as a non-pharmaceutical intervention on COVID-19 spread in India: national trends masking state-level variations. BMJ Open. 2020 12 10; 10(12):e041778.
    View in: PubMed
    Score: 0.918
  3. Author Correction: Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates. Sci Rep. 2021 Aug 20; 11(1):17221.
    View in: PubMed
    Score: 0.241
  4. Estimating COVID-19- Related Mortality in India: An Epidemiological Challenge With Insufficient Data. Am J Public Health. 2021 07; 111(S2):S59-S62.
    View in: PubMed
    Score: 0.238
  5. A comparison of five epidemiological models for transmission of SARS-CoV-2 in India. BMC Infect Dis. 2021 Jun 07; 21(1):533.
    View in: PubMed
    Score: 0.237
  6. Incorporating false negative tests in epidemiological models for SARS-CoV-2 transmission and reconciling with seroprevalence estimates. Sci Rep. 2021 05 07; 11(1):9748.
    View in: PubMed
    Score: 0.236
  7. Characteristics Associated With Racial/Ethnic Disparities in COVID-19 Outcomes in an Academic Health Care System. JAMA Netw Open. 2020 10 01; 3(10):e2025197.
    View in: PubMed
    Score: 0.226
  8. Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms. Harv Data Sci Rev. 2020; 2020(Suppl 1).
    View in: PubMed
    Score: 0.222
  9. Are women leaders significantly better at controlling the contagion during the COVID-19 pandemic? J Health Soc Sci. 2020 Jun; 5(2):231-240.
    View in: PubMed
    Score: 0.221
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.