John Samuel Brownstein, Ph.D.
Co-Author
This page shows the publications co-authored by John Brownstein and Moritz Kraemer.
Connection Strength
4.215
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Mapping global variation in human mobility. Nat Hum Behav. 2020 08; 4(8):800-810.
Score: 0.874
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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.
Score: 0.229
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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).
Score: 0.226
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Crowding and the shape of COVID-19 epidemics. Nat Med. 2020 12; 26(12):1829-1834.
Score: 0.224
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Mask Wearing and Control of SARS-CoV-2 Transmission in the United States. medRxiv. 2020 Sep 01.
Score: 0.223
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Sharing patient-level real-time COVID-19 data. Lancet Digit Health. 2020 07; 2(7):e345.
Score: 0.219
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Dynamics of conflict during the Ebola outbreak in the Democratic Republic of the Congo 2018-2019. BMC Med. 2020 04 27; 18(1):113.
Score: 0.218
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The effect of human mobility and control measures on the COVID-19 epidemic in China. Science. 2020 05 01; 368(6490):493-497.
Score: 0.216
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Epidemiological data from the COVID-19 outbreak, real-time case information. Sci Data. 2020 03 24; 7(1):106.
Score: 0.216
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The effect of human mobility and control measures on the COVID-19 epidemic in China. medRxiv. 2020 Mar 06.
Score: 0.216
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Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):900.
Score: 0.203
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Publisher Correction: Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 May; 4(5):901.
Score: 0.203
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Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus. Nat Microbiol. 2019 05; 4(5):854-863.
Score: 0.201
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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.
Score: 0.191
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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.
Score: 0.173
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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.
Score: 0.058
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Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2. J Travel Med. 2020 08 20; 27(5).
Score: 0.056
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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).
Score: 0.055
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Real-time Epidemic Forecasting: Challenges and Opportunities. Health Secur. 2019 Jul/Aug; 17(4):268-275.
Score: 0.051
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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.
Score: 0.042
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Mapping global environmental suitability for Zika virus. Elife. 2016 04 19; 5.
Score: 0.041
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Anticipating the international spread of Zika virus from Brazil. Lancet. 2016 Jan 23; 387(10016):335-336.
Score: 0.040
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Mapping the zoonotic niche of Ebola virus disease in Africa. Elife. 2014 Sep 08; 3:e04395.
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.