Published on GHDx (https://ghdx.healthdata.org)

Facility-based disease surveillance and Bayesian hierarchical modeling to estimate endemic typhoid fever incidence, Kilimanjaro Region, Tanzania, 2007-2018

General Info

Geography 
Kilimanjaro
United Republic of Tanzania (TZA)
Coverage type 
Subnational
Time period covered 
January, 2007 - December, 2018
Data type
Scientific literature
Keywords 
Typhoid and paratyphoid fevers

Citation

Authors 
Cutting ER, Simmons RA, Madut DB, Maze MJ, Kalengo NH, Carugati M, Mbwasi RM, Kilonzo KG, Lyamuya F, Marandu A, Mosha C, Saganda W, Lwezaula BF, Hertz JT, Morrissey AB, Turner EL, Mmbaga BT, Kinabo GD, Maro VP, Crump JA, Rubach MP
Journal 
PLoS Negl Trop Dis
Pages 
e0010516
Publication year 
2022
Suggested citation 
Cutting ER, Simmons RA, Madut DB, Maze MJ, Kalengo NH, Carugati M, Mbwasi RM, Kilonzo KG, Lyamuya F, Marandu A, Mosha C, Saganda W, Lwezaula BF, Hertz JT, Morrissey AB, Turner EL, Mmbaga BT, Kinabo GD, Maro VP, Crump JA, Rubach MP. Facility-based disease surveillance and Bayesian hierarchical modeling to estimate endemic typhoid fever incidence, Kilimanjaro Region, Tanzania, 2007-2018. PLoS Negl Trop Dis. 2022; 16(7): e0010516.
Source URL:https://ghdx.healthdata.org/record/facility-based-disease-surveillance-and-bayesian-hierarchical-modeling-estimate-endemic#comment-0