A Bayesian approach for estimating typhoid fever incidence from large‐scale facility‐based passive surveillance data-Reference-Cited by-同舟云学术

A Bayesian approach for estimating typhoid fever incidence from large‐scale facility‐based passive surveillance data

Published:2021-08-24 Issue:26 Volume:40 Page:5853-5870
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Phillips Maile T.¹^ORCID,Meiring James E.²³⁴,Voysey Merryn²³,Warren Joshua L.⁵,Baker Stephen⁶,Basnyat Buddha⁷,Clemens John D.⁸,Dolecek Christiane⁹¹⁰,Dunstan Sarah J.¹¹,Dougan Gordon⁶,Gordon Melita A.⁴¹²,Thindwa Deus⁴¹³,Heyderman Robert S.⁴¹⁴,Holt Kathryn E.¹⁵¹⁶,Qadri Firdausi⁸,Pollard Andrew J.²³,Pitzer Virginia E.¹,

Affiliation:

1. Department of Epidemiology of Microbial Diseases Yale School of Public Health New Haven Connecticut USA

2. Oxford Vaccine Group, Department of Paediatrics University of Oxford Oxford UK

3. National Institute for Health Research Oxford Biomedical Research Centre Oxford UK

4. Malawi Liverpool Wellcome Programme Kamuzu University of Health Sciences Blantyre Malawi

5. Department of Biostatistics Yale School of Public Health New Haven Connecticut USA

6. Department of Medicine University of Cambridge Cambridge UK

7. Oxford University Clinical Research Unit Patan Academy of Health Sciences Kathmandu Nepal

8. International Centre for Diarrhoeal Diseases Research, Bangladesh (icddr,b) Dhaka Bangladesh

9. Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine University of Oxford Oxford UK

10. Mahidol Oxford Tropical Medicine Research Unit Mahidol University Bangkok Thailand

11. The Peter Doherty Institute for Infection and Immunity The University of Melbourne Melbourne Victoria Australia

12. Institute of Infection, Veterinary and Ecological Sciences University of Liverpool Liverpool UK

13. Department of Infectious Disease Epidemiology London School of Hygiene and Tropical Medicine London UK

14. NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity University College London London UK

15. Department of Infectious Diseases, Central Clinical School Monash University Melbourne Victoria Australia

16. Department of Infection Biology London School of Hygiene and Tropical Medicine London

Funder

Bill and Melinda Gates Foundation

Public Health Research Programme

Wellcome Trust

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9159

Reference34 articles.

1. Estimating the Incidence of Typhoid Fever and Other Febrile Illnesses in Developing Countries

2. The burden of typhoid fever in low- and middle-income countries: A meta-regression approach

3. Burden of typhoid fever in low‐income and middle‐income countries: a systematic, literature‐based update with risk‐factor adjustment—the lancet global health;Mogasale V;Lancet,2014

4. Typhoid Fever

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