Imperial College London

DrPatrickWalker

Faculty of MedicineSchool of Public Health

Senior Lecturer
 
 
 
//

Contact

 

+44 (0)20 7594 3946patrick.walker06

 
 
//

Location

 

UG12Norfolk PlaceSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Kitojo:2019:10.1016/S2214-109X(19)30405-X,
author = {Kitojo, C and Gutman, JR and Chacky, F and Kigadye, E and Mkude, S and Mandike, R and Mohamed, A and Reaves, EJ and Walker, P and Ishengoma, DS},
doi = {10.1016/S2214-109X(19)30405-X},
journal = {The Lancet Global Health},
pages = {e1695--e1705},
title = {Estimating malaria burden among pregnant women using data from antenatal care centres in Tanzania: a population-based study},
url = {http://dx.doi.org/10.1016/S2214-109X(19)30405-X},
volume = {7},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BACKGROUND: More timely estimates of malaria prevalence are needed to inform optimal control strategies and measure progress. Since 2014, Tanzania has implemented nationwide malaria screening for all pregnant women within the antenatal care system. We aimed to compare malaria test results during antenatal care to two population-based prevalence surveys in Tanzanian children aged 6-59 months to examine their potential in measuring malaria trends and progress towards elimination. METHODS: Malaria test results from pregnant women screened at their first antenatal care visits at health-care facilities (private and public) in all 184 districts of Tanzania between Jan 1, 2014, and Dec 31, 2017, were collected from the Health Management Information Systems and District Health Information System 2. We excluded facilities with no recorded antenatal care attendees during the time period. We standardised results to account for testing uptake and weighted them by the timing of two population-based surveys of childhood malaria prevalence done in 2015-16 (Demographic and Health Survey) and 2017 (Malaria Indicator Survey). We assessed regional-level correlation using Spearman's coefficient and assessed the consistency of monthly district-level prevalence ranking using Kendall's correlation coefficient. FINDINGS: Correlation between malaria prevalence at antenatal care and among children younger than 5 years was high (r≥0·83 for both surveys), although declines in prevalence at antenatal care were generally smaller than among children. Consistent heterogeneity (p<0·05) in antenatal care prevalence at the district level was evident in all but one region (Kilimanjaro). Data from antenatal care showed declining prevalence in three regions (Arusha, Kilimanjaro, and Manyara) where surveys estimated zero prevalence. INTERPRETATION: Routine antenatal care-based screening can be used to assess heterogeneity in transmission at finer resolution than population-based surve
AU - Kitojo,C
AU - Gutman,JR
AU - Chacky,F
AU - Kigadye,E
AU - Mkude,S
AU - Mandike,R
AU - Mohamed,A
AU - Reaves,EJ
AU - Walker,P
AU - Ishengoma,DS
DO - 10.1016/S2214-109X(19)30405-X
EP - 1705
PY - 2019///
SN - 2214-109X
SP - 1695
TI - Estimating malaria burden among pregnant women using data from antenatal care centres in Tanzania: a population-based study
T2 - The Lancet Global Health
UR - http://dx.doi.org/10.1016/S2214-109X(19)30405-X
UR - https://www.ncbi.nlm.nih.gov/pubmed/31708150
UR - http://hdl.handle.net/10044/1/75205
VL - 7
ER -