Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

John Samuel Brownstein, Ph.D.

Co-Author

This page shows the publications co-authored by John Brownstein and Moritz Kraemer.
Connection Strength

4.215
  1. Mapping global variation in human mobility. Nat Hum Behav. 2020 08; 4(8):800-810.
    View in: PubMed
    Score: 0.874
  2. Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study. Lancet Digit Health. 2021 03; 3(3):e148-e157.
    View in: PubMed
    Score: 0.229
  3. Geographic access to United States SARS-CoV-2 testing sites highlights healthcare disparities and may bias transmission estimates. J Travel Med. 2020 Nov 09; 27(7).
    View in: PubMed
    Score: 0.226
  4. Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834.
    View in: PubMed
    Score: 0.224
  5. Mask Wearing and Control of SARS-CoV-2 Transmission in the United States. medRxiv. 2020 Sep 01.
    View in: PubMed
    Score: 0.223
  6. Sharing patient-level real-time COVID-19 data. Lancet Digit Health. 2020 07; 2(7):e345.
    View in: PubMed
    Score: 0.219
  7. Dynamics of conflict during the Ebola outbreak in the Democratic Republic of the Congo 2018-2019. BMC Med. 2020 04 27; 18(1):113.
    View in: PubMed
    Score: 0.218
  8. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 2020 05 01; 368(6490):493-497.
    View in: PubMed
    Score: 0.216
  9. Epidemiological data from the COVID-19 outbreak, real-time case information. Sci Data. 2020 03 24; 7(1):106.
    View in: PubMed
    Score: 0.216
  10. The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv. 2020 Mar 06.
    View in: PubMed
    Score: 0.216
  11. Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):900.
    View in: PubMed
    Score: 0.203
  12. Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):901.
    View in: PubMed
    Score: 0.203
  13. Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 05; 4(5):854-863.
    View in: PubMed
    Score: 0.201
  14. Inferences about spatiotemporal variation in dengue virus transmission are sensitive to assumptions about human mobility: a case study using geolocated tweets from Lahore, Pakistan. EPJ Data Sci. 2018; 7(1):16.
    View in: PubMed
    Score: 0.191
  15. Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study. Lancet Infect Dis. 2017 03; 17(3):330-338.
    View in: PubMed
    Score: 0.173
  16. Using digital surveillance tools for near real-time mapping of the risk of infectious disease spread. NPJ Digit Med. 2021 Apr 16; 4(1):73.
    View in: PubMed
    Score: 0.058
  17. Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2. J Travel Med. 2020 08 20; 27(5).
    View in: PubMed
    Score: 0.056
  18. Use of Twitter social media activity as a proxy for human mobility to predict the spatiotemporal spread of COVID-19 at global scale. Geospat Health. 2020 06 15; 15(1).
    View in: PubMed
    Score: 0.055
  19. Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275.
    View in: PubMed
    Score: 0.051
  20. Potential for Zika virus introduction and transmission in resource-limited countries in Africa and the Asia-Pacific region: a modelling study. Lancet Infect Dis. 2016 Nov; 16(11):1237-1245.
    View in: PubMed
    Score: 0.042
  21. Mapping global environmental suitability for Zika virus. Elife. 2016 04 19; 5.
    View in: PubMed
    Score: 0.041
  22. Anticipating the international spread of Zika virus from Brazil. Lancet. 2016 Jan 23; 387(10016):335-336.
    View in: PubMed
    Score: 0.040
  23. Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014 Sep 08; 3:e04395.
    View in: PubMed
    Score: 0.037
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.