Novel data sources offer opportunity for high-granularity public health. In this work we have studied many types of data and their relevance in time and space.
Relevant Papers
Thorpe, L.E., Chunara, R., Roberts, T., Pantaleo, N., Irvine, C., Conderino, S., Li, Y., Hsieh, P.Y., Gourevitch, M.N., Levine, S. and Ofrane, R., 2022. Building Public Health Surveillance 3.0: Emerging Timely Measures of Physical, Economic, and Social Environmental Conditions Affecting Health. American Journal of Public Health, (0), pp.e1-e10.
Zhang, M., Singh, H., Chok, L. and Chunara, R., 2022. Segmenting across places: The need for fair transfer learning with satellite imagery. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 2916-2925).
Zhao Y, Wood EP, Mirin N, Cook SH, Chunara R. Social determinants in machine learning cardiovascular disease prediction models: a systematic review. Am J Prev Med. 2021 Oct;61(4):596-605. Epub 2021 Jul 27. Highlighted in the Wall Street Journal
Chunara, R. and Cook, S.H., 2020. Using digital data to protect and promote the most vulnerable in the fight against COVID-19. Frontiers in Public Health, 8, p.296.
Chunara, R. and Cook, S.H., 2020. Using digital data to protect and promote the most vulnerable in the fight against COVID-19. Frontiers in Public Health, 8, p.296.
Mann, D.M., Chen, J., Chunara, R., Testa, P.A. and Nov, O., 2020. COVID-19 transforms health care through telemedicine: evidence from the field. Journal of the American Medical Informatics Association, 27(7), pp.1132-1135.
Abdur Rehman, N., Salje, H., Kraemer, M.U., Subramanian, L., Saif, U. and Chunara, R., 2020. Quantifying the localized relationship between vector containment activities and dengue incidence in a real-world setting: A spatial and time series modelling analysis based on geo-located data from Pakistan. PLoS neglected tropical diseases, 14(5), p.e0008273. Vancouver
Tian, Y. and Chunara, R., 2020, May. Quasi-experimental designs for assessing response on social media to policy changes. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 14, pp. 671-682). Best paper honorable mention
Daughton, A.R., Chunara, R. and Paul, M.J., 2020. Comparison of social media, syndromic surveillance, and microbiologic acute respiratory infection data: observational study. JMIR public health and surveillance, 6(2), p.e14986.
Mhasawade, V., Elghafari, A., Duncan, D.T. and Chunara, R., 2020. Role of the built and online social environments on expression of dining on instagram. International journal of environmental research and public health, 17(3), p.735.
Akbari, M. and Chunara, R., 2019, October. Using contextual information to improve blood glucose prediction. In Machine Learning for Healthcare Conference (pp. 91-108). PMLR.
Abdur Rehman, N., Saif, U. and Chunara, R., 2019. Deep landscape features for improving vector-borne disease prediction. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 44-51). Selected for oral presentation.
Relia, K., Li, Z., Cook, S.H. and Chunara, R., 2019, July. Race, ethnicity and national origin-based discrimination in social media and hate crimes across 100 US cities. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 13, pp. 417-427). Highlighted in Vice
Feng, S., Grépin, K.A. and Chunara, R., 2018. Tracking health seeking behavior during an Ebola outbreak via mobile phones and SMS. NPJ digital medicine, 1(1), pp.1-8. Highlighted in ACM Technews, BBC World Service Radio
Rehman, N.A., Relia, K. and Chunara, R., 2018, November. Creating full individual-level location timelines from sparse social media data. In Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 379-388).
Relia, K., Akbari, M., Duncan, D. and Chunara, R., 2018. Socio-spatial self-organizing maps: using social media to assess relevant geographies for exposure to social processes. Proceedings of the ACM on human-computer interaction, 2(CSCW), pp.1-23.
Akbari, M., Relia, K., Elghafari, A. and Chunara, R., 2018, June. From the user to the medium: neural profiling across web communities. In Twelfth International AAAI Conference on Web and Social Media.
Kolawole, O., Oguntoye, M., Dam, T. and Chunara, R., 2017. Etiology of respiratory tract infections in the community and clinic in Ilorin, Nigeria. BMC research notes, 10(1), pp.1-6.
Baltrusaitis, K., Santillana, M., Crawley, A.W., Chunara, R., Smolinski, M. and Brownstein, J.S., 2017. Determinants of participants’ follow-up and characterization of representativeness in flu near you, a participatory disease surveillance system. JMIR public health and surveillance, 3(2), p.e7304.
Liu, J., Weitzman, E.R. and Chunara, R., 2017, February. Assessing behavior stage progression from social media data. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1320-1333).
Baltrusaitis, K., Santillana, M., Crawley, A.W., Chunara, R., Smolinski, M. and Brownstein, J.S., 2017. Determinants of participants’ follow-up and characterization of representativeness in flu near you, a participatory disease surveillance system. JMIR public health and surveillance, 3(2), p.e7304.
Chunara, R., Wisk, L.E. and Weitzman, E.R., 2017. Denominator issues for personally generated data in population health monitoring. American journal of preventive medicine, 52(4), pp.549-553.
Ray, B., Ghedin, E. and Chunara, R., 2016. Network inference from multimodal data: a review of approaches from infectious disease transmission. Journal of biomedical informatics, 64, pp.44-54.
Rehman, N., Liu, J. and Chunara, R., 2016. Using propensity score matching to understand the relationship between online health information sources and vaccination sentiment. In Proceedings of Association for the Advancement of Artificial Intelligence Spring Symposia (pp. 23-25).
Bai, H., Chunara, R. and Varshney, L.R., 2015. Social capital deserts: obesity surveillance using a location-based social network. Proceedings of the Data for Good Exchange (D4GX), New York.
Chunara, R., Goldstein, E., Patterson-Lomba, O. and Brownstein, J.S., 2015. Estimating influenza attack rates in the United States using a participatory cohort. Scientific reports, 5(1), pp.1-5.
Goff, J., Rowe, A., Brownstein, J.S. and Chunara, R., 2015. Surveillance of acute respiratory infections using community-submitted symptoms and specimens for molecular diagnostic testing. PLoS currents, 7. Vancouver
Nagar, R., Yuan, Q., Freifeld, C.C., Santillana, M., Nojima, A., Chunara, R. and Brownstein, J.S., 2014. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. Journal of medical Internet research, 16(10), p.e3416.
Chunara, R., Bouton, L., Ayers, J.W. and Brownstein, J.S., 2013. Assessing the online social environment for surveillance of obesity prevalence. PloS one, 8(4), p.e61373.
Chunara, R., Andrews, J.R. and Brownstein, J.S., 2012. Social and news media enable estimation of epidemiological patterns early in the 2010 Haitian cholera outbreak. The American journal of tropical medicine and hygiene, 86(1), p.39.
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