Description

Neglected Tropical Diseases (NTD) form a group of 21 diseases with diverse, multidimensional natures, affecting low income and rural areas around the world. One of such diseases is Chagas disease, caused by Trypanosoma cruzi parasite, endemic in 21 countries of South and Central America, but present worldwide and currently estimated to affect more than 7 millions of people. By now, data regarding the new cases of Chagas and movement of the vector that transmits it have not been collected in a standardized and systematic manner, which resulted in spreading of the diseases worldwide by blood transfusions, organ transplantations, and congenital route.

Having the NTD-related data, collected in a standardized manner and reported regularly to World Health Organization (WHO) is essential for gaining the control of the diseases in the territories and eventually eliminating them.

The main goal of the WIDP project is to standardize the way that data related to NTDs are collected and building an information system for systematically collecting the data and reporting them to WHO.

Specific objectives of the WIDP project are:

• Build a data model for collecting NTD-related data.
• Create standard packages of data collection forms representing different aspects of NTDs.
• Define disease-specific indicators, for monitoring the diseases over specific territory and for specific period.
• Create visualizations for analyzing the status and trends of NTDs.

 

 

WHO Integrated Data Platform (WIDP) is a web-based health management information system (HMIS) used at WHO for regular data reporting, as well as for empowering countries for local routine surveillance and monitoring. WIDP is built on top of District Health Information Software 2 (DHIS2), an open source, web-based HMIS platform, already in use by Ministries of Health, research centers, NGOs and other parties in more than 100 countries around the world. WIDP supports data collection as well as data analysis and visualization.

 

WIDP Data model

The most important feature of WIDP is the data model it uses for capturing data. 

WIDP distinguishes two main types of data: 

• Individual: Data about individual cases or events, occurred in a specific point in time. Respectively, these data can be identifiable (Trackers, e.g., patient records) or non-identifiable (Events, e.g., Dwelling inspections/interventions).
• Aggregated (Collective): Data summarized over a specified period of time (daily, weekly, monthly, quarterly, yearly, etc.) and for a specific geographical area.

Data inside WIDP can be collected and analyzed through various dimensions. 

 

 

• What?- main information of interest (e.g., Number of infection cases, Result of serological diagnosis). DHIS2 implements data elements.
• Where? - geographical location to which the information relates to (e.g., Region/City of infection cases, Health facility where the serological diagnosis is done). DHIS2 implements it through organisation unit hierarchy.
• When? - Date or period to which the information  relates to (e.g., Period for which the infection cases are calculated, Date of the serological tests).  DHIS2 implements it through different types of periods.
• Other customizable set of dimensions (e.g., pharmaceutical companies dispatching the medicine). DHIS2 implements them through attribute categories.

Data entry in WIDP

 Depending on the type of data, WIDP offers three core apps for form-based data entry: 

• Aggregated data:  Data Entry
• Individual non-identifiable data: Event Capture 
• Individual identifiable data: Tracker Capture

 

In addition, WIDP also allows you to enter data in a massive (bulk) mode using Excel spreadsheets though Bulk load app.

 

 

WIDP Documentation

More information and documenation about the WIDP can be found here. 

 

WIDP Demo