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THE IMPORTANCE OF APPLYING WASFTY TO THE RESIDENTS OF THE HOLY CITY OF MECCA

Name: THE IMPORTANCE OF APPLYING WASFTY TO THE RESIDENTS OF THE HOLY CITY OF MECCA
Creator: Obied.M. Alsaab, Salem.T. Alharbi
Keywords: 3. Good health

descriptionPublicationkeyboard_double_arrow_right Article 11 Sep 2023Publisher:Zenodo

Authors: Obied.M. Alsaab, Salem.T. Alharbi;

doi: 10.5281/zenodo.8335212 , 10.5281/zenodo.8335211

THE IMPORTANCE OF APPLYING WASFTY TO THE RESIDENTS OF THE HOLY CITY OF MECCA

- Summary
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Abstract

The aim of the study is to find out the importance of the application of wasfty for the population of Mecca (Holy city), whether for Health centers or Hospitals, to know their opinions and impressions in terms of ease of use and download, and the quantity and variety of medicines for them. The reaction to this application or the decision makers by the male reviewers or female reviewers in Mecca on the extent to which they accept the application or not. An electronic questionnaire was created through the Google Drive application, where this questionnaire was distributed to social networking WhatsApp groups, where 750 responses were obtained from those (residents of the city of Mecca), out of a total of 900 questionnaires. Keywords: wasfty: electronic application for dispensing medicines to male and female reviewers.

Related Organizations

Ministry of Health
Saudi Arabia

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average