Abstract

miasis, rather than for the evaluation of a complex epidemiological study, requiring expertise in the principles and practice of data management. Language barriers provided additional challenges in implementing an efficient data management system. Accordingly, we present details of the innovative database we developed, which allowed us to produce data that were protected against data entry errors and therefore more likely to be of high quality and reliability. Furthermore, it also provided us with evidence of protection. This database can also serve as a template for other epidemiological studies of NTDs in the future.

Highlights

  • The neglected tropical diseases (NTDs) are of major public health importance, accounting for 56.6 million disabilityadjusted life years (DALYs), which places them sixth out of the ten leading causes of life years lost to disability and premature death [1]

  • Recent publications by Ali et al [4] and Roberts et al [5] stress that the importance of data management is often underestimated in such studies, with greater emphasis instead placed on the study design, data collection, and data analysis [4,5]

  • We present details of the innovative database we developed, which allowed us to produce data that were protected against data entry errors and more likely to be of high quality and reliability

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Summary

Introduction

The neglected tropical diseases (NTDs) are of major public health importance, accounting for 56.6 million disabilityadjusted life years (DALYs), which places them sixth out of the ten leading causes of life years lost to disability and premature death [1] These diseases are prominent in the developing world where there is low income, poor hygiene, and inadequate sanitation [1,2]. We present details of the innovative database we developed, which allowed us to produce data that were protected against data entry errors and more likely to be of high quality and reliability It provided us with evidence of protection. This database can serve as a template for other epidemiological studies of NTDs in the future

The Database System
Future Applications
Conclusions
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