A computational future for preventing HIV in minority communities: how advanced technology can improve implementation of effective programs.

MLA

Brown, C.Hendricks, et al. “A Computational Future for Preventing HIV in Minority Communities: How Advanced Technology Can Improve Implementation of Effective Programs.” Journal of Acquired Immune Deficiency Syndromes (1999), vol. 63 Suppl 1, June 2013, pp. S72–84. EBSCOhost, https://doi.org/10.1097/QAI.0b013e31829372bd.

APA

Brown, C. H., Mohr, D. C., Gallo, C. G., Mader, C., Palinkas, L., Wingood, G., Prado, G., Kellam, S. G., Pantin, H., Poduska, J., Gibbons, R., McManus, J., Ogihara, M., Valente, T., Wulczyn, F., Czaja, S., Sutcliffe, G., Villamar, J., & Jacobs, C. (2013). A computational future for preventing HIV in minority communities: how advanced technology can improve implementation of effective programs. Journal of Acquired Immune Deficiency Syndromes (1999), 63 Suppl 1, S72–S84. https://doi.org/10.1097/QAI.0b013e31829372bd

Chicago

Brown, C Hendricks, David C Mohr, Carlos G Gallo, Christopher Mader, Lawrence Palinkas, Gina Wingood, Guillermo Prado, et al. 2013. “A Computational Future for Preventing HIV in Minority Communities: How Advanced Technology Can Improve Implementation of Effective Programs.” Journal of Acquired Immune Deficiency Syndromes (1999) 63 Suppl 1 (June): S72–84. doi:10.1097/QAI.0b013e31829372bd.