Predicting Salmonella Typhi incidence using prevalence metrics from sentinel studies of community-onset bloodstream infections
Year: 2026
Type: preprint
Authors: Nienke Hagedoorn, Shruti Murthy, Christian S. Marchello, Jonathan Williman, Faisal Ahmed, Jason Andrews, Buddha Basnyat, Alice S. Carter, Shrimati Datta, Irum Fatima Dehraj, Kate Doyle, Denise O. Garrett, Jobin Jacob, Hyonjin Jeon, Jacob John, Farhana Khanam, Jooah Lee, Xinxue Liu, Florian Marks, Shiva R. Nega, Kathleen Neuzil, Paul N. Newton, Priyanka D. Patel, Andrew J. Pollard, Firdausi Qadri, Farah Qamar, Tamalee Roberts, Jessica C. Seidman, Mila Shakya, Suchita Shrestha, Birkneh T. Tadesse, Dipesh Tamrakar, Manivanh Vongsouvath, Merryn Voysey, Mohammad Tahir Yousafzai, John A. Crump
Institutions: Elisabeth-TweeSteden Ziekenhuis, University of Otago, International Centre for Diarrhoeal Disease Research, Stanford Medicine, Stanford University, Patan Academy of Health Sciences, Sabin Vaccine Institute, University of Maryland, Baltimore, Aga Khan University, Christian Medical College, Vellore, International Vaccine Institute, University of Antananarivo, University of Cambridge, The University of Queensland, University of Oxford, University Hospital Heidelberg, Hong Kong Jockey Club, Heidelberg Institute of Global Health, Dhulikhel Hospital, Kathmandu University, Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, University of Liverpool, Malawi-Liverpool-Wellcome Trust Clinical Research Programme, NIHR Oxford Biomedical Research Centre, Karolinska Institutet, Addis Ababa University
Language: English
Subfield: Food Science
Domain: Life Sciences
Open Access status: closed
OpenAlex ID: W7130379066