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Modelling geographic variation in the cost-effectiveness of control policies for infectious vector diseases: the example of Chagas disease

Modelling geographic variation in the cost-effectiveness of control policies for infectious vector diseases: the example of Chagas disease
Modelling geographic variation in the cost-effectiveness of control policies for infectious vector diseases: the example of Chagas disease
Few cost-effectiveness analysis (CEA) models have accounted for geographic variation in input parameters. This paper describes a deterministic discrete-time multi-state model to estimate the cost-effectiveness of vector control policies for Chagas disease, where implementation varies according to village characteristics. The model outputs include the total number of new infections, disability adjusted life years (DALYs) incurred, costs of associated healthcare, and total costs of the Ministry of Health's control policy for house surveillance and spraying. Incremental net benefits were estimated to determine Colombian villages in which it is cost-effective to implement the control policy. The robustness of these conclusions was evaluated by deterministic sensitivity analyses. The model should help provide a decision-support system to compare control policies and to allocate resources geographically
mathematical modelling, cost-effectiveness analysis, infectious vector diseases, incremental net benefit analysis, geographical information system (GIS)
0167-6296
405-426
Castillo-Riquelme, M.
1ce36a81-01ef-4d4f-babf-45dec8b24253
Chalabi, Z.
91e0f94b-ef9e-4038-96e8-99a8744c17f3
Lord, J.
fd3b2bf0-9403-466a-8184-9303bdc80a9a
Guhl, F.
0bb405a8-3259-4445-bd3b-0f69ed375157
Campbell-Lendrum, D.
3644970f-d403-4eea-bf3f-c6e0f74a7771
Davies, C.
48fa10f2-59a8-4450-b74b-4a75199fc104
Fox-Rushby, J.
ef1de2a2-a954-4aac-ac46-17302a58636a
Castillo-Riquelme, M.
1ce36a81-01ef-4d4f-babf-45dec8b24253
Chalabi, Z.
91e0f94b-ef9e-4038-96e8-99a8744c17f3
Lord, J.
fd3b2bf0-9403-466a-8184-9303bdc80a9a
Guhl, F.
0bb405a8-3259-4445-bd3b-0f69ed375157
Campbell-Lendrum, D.
3644970f-d403-4eea-bf3f-c6e0f74a7771
Davies, C.
48fa10f2-59a8-4450-b74b-4a75199fc104
Fox-Rushby, J.
ef1de2a2-a954-4aac-ac46-17302a58636a

Castillo-Riquelme, M., Chalabi, Z., Lord, J., Guhl, F., Campbell-Lendrum, D., Davies, C. and Fox-Rushby, J. (2008) Modelling geographic variation in the cost-effectiveness of control policies for infectious vector diseases: the example of Chagas disease. Journal of Health Economics, 27 (2), 405-426. (doi:10.1016/j.jhealeco.2007.04.005). (PMID:18222556)

Record type: Article

Abstract

Few cost-effectiveness analysis (CEA) models have accounted for geographic variation in input parameters. This paper describes a deterministic discrete-time multi-state model to estimate the cost-effectiveness of vector control policies for Chagas disease, where implementation varies according to village characteristics. The model outputs include the total number of new infections, disability adjusted life years (DALYs) incurred, costs of associated healthcare, and total costs of the Ministry of Health's control policy for house surveillance and spraying. Incremental net benefits were estimated to determine Colombian villages in which it is cost-effective to implement the control policy. The robustness of these conclusions was evaluated by deterministic sensitivity analyses. The model should help provide a decision-support system to compare control policies and to allocate resources geographically

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More information

Published date: 2008
Keywords: mathematical modelling, cost-effectiveness analysis, infectious vector diseases, incremental net benefit analysis, geographical information system (GIS)
Organisations: Primary Care & Population Sciences

Identifiers

Local EPrints ID: 382168
URI: https://eprints.soton.ac.uk/id/eprint/382168
ISSN: 0167-6296
PURE UUID: b0013399-b8bb-4a92-b2ea-67695b88b274
ORCID for J. Lord: ORCID iD orcid.org/0000-0003-1086-1624

Catalogue record

Date deposited: 18 Jan 2016 11:48
Last modified: 20 Jul 2019 00:34

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