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Enhancing Decision Support for Vector-Borne Disease Control Programs—The Disease Data Management System

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Thomsen, Edward ORCID: https://orcid.org/0000-0003-1136-6430, Deb, Rinki, Dunkley, Sophie, Coleman, Marlize, Foster, Geraldine ORCID: https://orcid.org/0000-0002-9769-4349, Orlans, Miguel and Coleman, Michael ORCID: https://orcid.org/0000-0003-4186-3526 (2016) 'Enhancing Decision Support for Vector-Borne Disease Control Programs—The Disease Data Management System'. PLoS Neglected Tropical Diseases, Vol 10, Issue 2, e0004342.

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Abstract

Data is at the core of any successful vector-borne disease control or elimination activity. At the early stages of control, monitoring data can help prioritize limited funding and resources to maximize impact. During the pre-elimination and elimination phases, surveillance data itself
becomes the primary intervention by quickly identifying persistent transmission [1]. In addition, it has been identified that spatial decision-support tools will be crucial to integrate with health information systems (HIS) as countries strive for elimination [2]. The Disease Data Management System (DDMS) is a tool designed to meet the data management and decision-support needs of vector-borne disease control programs as they transition through control to elimination. The development and functionality of the DDMS has been described elsewhere [3], and particular advantages and disadvantages are highlighted in Box 1. Here, we describe the implementation and impact of the system in disease-endemic countries, user feedback, and future challenges.

Item Type: Article
Subjects: QX Parasitology > Insects. Other Parasites > QX 650 Insect vectors
WA Public Health > Preventive Medicine > WA 110 Prevention and control of communicable diseases. Transmission of infectious diseases
WC Communicable Diseases > Tropical and Parasitic Diseases > WC 695 Parasitic diseases (General)
Faculty: Department: Biological Sciences > Vector Biology Department
Digital Object Identifer (DOI): https://doi.org/10.1371/journal.pntd.0004342
Depositing User: Samantha Sheldrake
Date Deposited: 19 Feb 2016 11:14
Last Modified: 22 Jun 2018 10:48
URI: https://archive.lstmed.ac.uk/id/eprint/5684

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