195 34 1840 2 6343 document 1840 HMM_Interactive_Model.xls application/msword ff9fea7841bb67086885d4d4ce8f384b2148ce013647ff1b7a38704bd704a87e SHA256 571904 2016-04-15 09:37:20 https://datacompass.lshtm.ac.uk/id/eprint/195/1/HMM_Interactive_Model.xls 195 1 1 application/msword Dataset en public cc_by

HMM_Interactive_Model.xls

data indefinite Interactive model for the evaluation of Home management of malaria (HMM) strategies. The Microsoft Excel file requires that macros are allowed to run archive 3 disk0/00/00/01/95 2016-04-15 09:39:12 2021-07-08 12:52:15 2016-04-15 09:39:12 data_collection show Lubell Yoel TRUE Mills Anne 0000-0001-9863-9950 TRUE aa4502b927dc9139d73cd20caa349ce0 Whitty Christopher J.M. TRUE f96c8c974087061e7937c905293ff63e Staedke Sarah G. 0000-0003-2505-821X TRUE 03ace9176e1de1a47f8101aeb0613468 London School of Hygiene & Tropical Medicine, London, United Kingdom ADDE ITCR PHGH Hidden Markov models Malaria Antimalarials Uganda Child health Cost-effectiveness analysis Antimicrobial resistance This research is supported by the ACT Consortium, which is funded through a grant from the Bill & Melinda Gates Foundation to the London School of Hygiene and Tropical Medicine. Interactive model for the evaluation of HMM strategies. The model is a Microsoft Excel file and requires that macros are allowed to run. 2010-08-27 published PLOS One Dataset London School of Hygiene & Tropical Medicine, London, United Kingdom XACT XMAL Observation.Field public Bill and Melinda Gates Foundation ACT Consortium Dataset Quantitative en https://figshare.com/articles/An_Economic_Evaluation_of_Home_Management_of_Malaria_in_Uganda_An_Interactive_Markov_Model/141916 data https://doi.org/10.1371/journal.pone.0012439.s001 dataresource https://doi.org/10.1371/journal.pone.0012439 paper http://researchonline.lshtm.ac.uk/id/eprint/2929 ACT Consortium Bill and Melinda Gates Foundation http://dx.doi.org/10.13039/100000865 2010-08-27