Papers

Social Network Correlates of IPV Acceptance in Rural Honduras and Rural Uganda
9 | Honduras , Uganda , Social Network , LMIC , Maternal and Child Health (MNCH) , Sociocentric Network , Global Health , Trellis Software , Violence

Citation:

H.B. Shakya, J. M. Perkins, M. Traeger, A. C. Tsai, D. R. Bangsberg, B. Kakuhikire, and N. A. Christakis, “Social Network Correlates of IPV Acceptance in Rural Honduras and Rural Uganda,” SSM Population Health, 236-243. (Feb 2018) DOI: 10.1016/j.ssmph.2018.02.001

Actual Versus Perceived HIV Testing Norms, and Personal HIV Testing Uptake: A Cross-Sectional, Population-Based Study in Rural Uganda
5 | AIDS , Uganda , Social Determinants , LMIC , Global Health

Citation:

J.M. Perkins, V.N. Nyakato, B. Kakuhikire, P.K. Mbabazi, H.W. Perkins, A.C. Tsai, S.V. Subramanian, N.A. Christakis, and D.R. Bangsberg, "Actual Versus Perceived HIV Testing Norms, and Personal HIV Testing Uptake: A Cross-Sectional, Population-Based Study in Rural Uganda" AIDS and Behavior, (February 2017) doi: 10.1007/s10461-017-1691-z

Spread of Pathogens in the Patient Transfer Network of US Hospitals
4 | Institutional Network , Infectious Disease , Health Services Research , Sociocentric Network

Citation:

J. Gracia, J. Onnela, M. Barnett, V.M. Eguíluz, and N. A. Christakis, “Spread of Pathogens in the Patient Transfer Network of US Hospitals,” Lecture Notes in Computer Science, in: Lee D., Lin YR., Osgood N., Thomson R. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2017. vol 10354 (Jun 2017) DOI: 10.1007/978-3-319-60240-0_33

Locally Noisy Autonomous Agents Improve Global Human Coordination in Network Experiments (Nature, 2017)
13 | Methodology , Artificial Intelligence (AI) , Biological Network , Behavior Genetics , Social Network , Sociocentric Network , Bots , NAC Favorite , Nature , Breadboard Software , Experiment , Hybrid Systems , Public Goods

Citation:

H. Shirado and N.A. Christakis, "Locally Noisy Autonomous Agents Improve Global Human Coordination in Network Experiments" Nature, 545, 370–374 (18 May 2017) doi:10.1038/nature22332

Exploiting Social Influence to Magnify Population-Level Behavior Change in Maternal and Child Health: A Randomized Controlled Trial of Network Targeting Algorithms in Rural Honduras
11 | Methodology , Trellis Software , RCT , Social Network , Sociocentric Network , Experiment , Maternal and Child Health (MNCH) , Honduras , Global Health , Contagion Intervention , Network Targeting

Citation:

H.B. Shakya, D. Stafford, D.A. Hughes, T. Keegan, R. Negron, J. Broome, M. McKnight, E. Nicoll, J.A. Nelson, E. Iriarte, J.H. Fowler, and N.A. Christakis, "Exploiting Social Influence to Magnify Population-Level Behavior Change in Maternal and Child Health: A Randomized Controlled Trial of Network Targeting Algorithms in Rural Honduras" BMJ Open, (2017) 7(3), p.e012996.