Image-based surgical site infection algorithms to support home-based post-cesarean monitoring: Lessons from Rwanda
PLOS Glob Public Health
.
2023 Feb 13;3(2):e0001584.
doi: 10.1371/journal.pgph.0001584.
eCollection 2023.
Authors
Barnabas Tobi Alayande
1
2
,
Siona Prasad
3
,
Monique Abimpaye
4
,
Laban Bakorimana
5
,
Anne Niyigena
5
,
Jonathan Nkurunziza
5
,
Vincent K Cubaka
5
,
Fredrick Kateera
5
,
Richard Fletcher
6
,
Bethany Hedt-Gauthier
2
7
Affiliations
1
Center for Equity in Global Surgery, University of Global Health Equity, Kigali, Rwanda.
2
Program in Global Surgery and Social Change, Harvard Medical School, Boston, Massachusetts, United States of America.
3
Harvard University, Boston, Massachusetts, United States of America.
4
Save the Children, International, London, United Kingdom.
5
Research Department, Partners In Health/Inshuti Mu Buzima, Kigali, Rwanda.
6
Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.
7
Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, United States of America.
PMID:
36963016
PMCID:
PMC10021696
DOI:
10.1371/journal.pgph.0001584
No abstract available
Grants and funding
The authors received no specific funding for this work.