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Application of an Innovative Data Analytical Approach to Assessing the Disease Situation during Crises in Somalia, Yemen and Pakistan
Author(s) -
Kamran Ahmed,
Antony Ajanga,
Omer A. Saleh,
Mohammad Dauod Altaf,
Ghulam Rabani Popal
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5767
Subject(s) - resource (disambiguation) , warning system , computer science , outbreak , data science , disease surveillance , disease , health data , phase (matter) , risk analysis (engineering) , operations research , computer security , medicine , telecommunications , health care , economic growth , engineering , economics , computer network , chemistry , organic chemistry , pathology , virology
The functioning electronic databases for fast and reliable disease early warning and response networks (EWARN) have been found very effective in early detection, confirmation and response to disease outbreaks but launching the implementation of such electronic systems is always time consuming due to resource constraints and other limitations during crises. Thus application of data analytical approaches can serve as reliable alternative for electronic database system during the initial launching phase that facilitate monitoring of health situation without any delay during humanitarian crises. Furthermore, this approach can help in improving overall health information management capacities and capabilities of resource poor countries.

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