INSPIRE Datahub: A Pan-African Integrated Suite of Services For Harmonising Longitudinal Population Health Data Using OHDSI Tools. by Bhattacharjee, Tathagata, Kiwuwa-Muyingo, Sylvia, Kanjala, Chifundo, Maoyi, Molulaqhooa L., Amadi, David, Ochola, Michael, Kadengye, Damazo, Gregory, Arofan, Kiragga, Agnes, Amelia, Taylor, Greenfield, Jay, Slaymaker, Emma, Todd, Jim, INSPIRE Network8

“…low- and middle-income countries (LMIC), hindering the generation of actionable insights to inform policy and decision-making. …”
Get full text

Reactogenicity and Immunogenicity Against MPXV of the Intradermal Administration of Modified Vaccinia Ankara Compared to the Standard Subcutaneous Route by Valentina Mazzotta, Pierluca Piselli, Alessandro Cozzi Lepri, Giulia Matusali, Eleonora Cimini, Rozenn Esvan, Francesca Colavita, Roberta Gagliardini, Stefania Notari, Alessandra Oliva, Silvia Meschi, Rita Casetti, Giulia Micheli, Licia Bordi, Alessandro Giacinta, Germana Grassi, Saba Gebremeskel Tekle, Claudia Cimaglia, Jessica Paulicelli, Alessandro Caioli, Paola Gallì, Giulia Del Duca, Miriam Lichtner, Loredana Sarmati, Enrica Tamburrini, Claudio Mastroianni, Alessandra Latini, Paolo Faccendini, Carla Fontana, Emanuele Nicastri, Andrea Siddu, Alessandra Barca, Francesco Vaia, Enrico Girardi, Fabrizio Maggi, Andrea Antinori

“…Our data support the current WHO recommendation of using the ID route in low–medium-income countries (LMIC), although response data in people infected with the new 1b clade are urgently needed.…”
Get full text

Needs Assessment and Tailored Training Pilot for Emergency Care Clinicians in the Prehospital Setting in Rwanda by Naz Karim, Jeanne D’Arc Nyinawankusi, Mikaela S. Belsky, Pascal Mugemangango, Zeta Mutabazi, Catalina Gonzalez Marques, Angela Y. Zhang, Janette Baird, Jean Marie Uwitonze, Adam C. Levine

“…Background: In low- and middle-income countries (LMIC), 45% of deaths could be addressed by implementation of an emergency medical services (EMS) system. …”
Get full text

Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

“…Five (29%) studies were from high-income countries (HICs), four (24%) from upper-middle-income countries (UMICs), one (6%) from low-and middle-income countries (LMIC), and the remaining seven studies (41%) used data across different income regions. …”
Get full text