Table of Contents

April 2017

Implementation Science studies how treatments that have been found to work in controlled settings can reach their potential in real-world situations. The topic is of particular relevance to common conditions in resource-poor settings—in brief, to the most pressing issues in human health.

In this month's Editorial, PLOS Medicine editorial board members Elvin Geng (University of California, San Francisco, USA), David Peiris (The George Institute for Global Health, University of Sydney, Australia) and Margaret Kruk (Harvard T.H. Chan School of Public Health, Boston, USA) discuss the characteristics that lend relevance and reliability to an implementation study, and encourage the submission of high quality implementation research to PLOS Medicine.

Image Credit: The Noun Project, Duke Innovation Co-Lab, Wikimedia Commons


Implementation science: Relevance in the real world without sacrificing rigor

Elvin H. Geng, David Peiris, Margaret E. Kruk


Talking sensibly about depression

Vikram Patel

A new cascade of HIV care for the era of “treat all”

Matthew P. Fox, Sydney Rosen

An open source pharma roadmap

Manica Balasegaram, Peter Kolb, John McKew, Jaykumar Menon, Piero Olliaro, Tomasz Sablinski, Zakir Thomas, Matthew H. Todd, Els Torreele, John Wilbanks

Policy Forums

Governing multisectoral action for health in low- and middle-income countries

Kumanan Rasanathan, Sara Bennett, Vincent Atkins, Robert Beschel, Gabriel Carrasquilla, Jodi Charles, Rajib Dasgupta, Kirk Emerson, Douglas Glandon, Churnrurtai Kanchanachitra, Pete Kingsley, Don Matheson, Rees Murithi Mbabu, Charles Mwansambo, Michael Myers, Jeremias Paul Jr., Thulisile Radebe, James Smith, Orielle Solar, Agnès Soucat, Aloysius Ssennyonjo, Matthias Wismar, Shehla Zaidi

Research Articles

Status and methodology of publicly available national HIV care continua and 90-90-90 targets: A systematic review

Reuben Granich, Somya Gupta, Irene Hall, John Aberle-Grasse, Shannon Hader, Jonathan Mermin

Demographic transition and the dynamics of measles in six provinces in China: A modeling study

Sheng Li, Chao Ma, Lixin Hao, Qiru Su, Zhijie An, Fubao Ma, Shuyun Xie, Aiqiang Xu, Yanyang Zhang, Zhengrong Ding, Hui Li, Lisa Cairns, Huaqing Wang, Huiming Luo, Ning Wang, Li Li, Matthew J. Ferrari

Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study

Kevin ten Haaf, Jihyoun Jeon, Martin C. Tammemägi, Summer S. Han, Chung Yin Kong, Sylvia K. Plevritis, Eric J. Feuer, Harry J. de Koning, Ewout W. Steyerberg, Rafael Meza

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