Optimizing health leadership in early prevention efforts in village communities

Review of public health database

https://doi.org/10.53730/ijhs.v5n3.1576

Authors

  • B. M. A. S. Anaconda Bangkara President University Cikarang, Bekasi, Indonesia
  • Irma Rachmawati Universitas Pasundan, Bandung, Indonesia
  • Febri Liantoni Universitas Sebelas Maret, Surakarta, Indonesia
  • A. Nururrochman Hidayatulloh Balai Besar Penelitian dan Pengembangan Pelayanan Kesejahteraan Sosial, Kementerian Sosial Republik Indonesia, Indonesia
  • Abin Suarsa Universitas Muhammadiyah, Bandung, Indonesia

Keywords:

health database, health education, health leadership, health services, medical team, mental health, public health

Abstract

This study aims to optimize health leadership in preventing Covid-19 from an early age in the village. The author believes that health status is determined by treatment; prevention can be more effective and efficient. We collect public health literature from many databases of public health publications. We start from the journal Esavier, Medpub, Google Book, and several websites that discuss public health issues at home and abroad. We are targeting based data published in the last ten years to find the latest data and validity. The research involves a data coding system, high evaluation, and conclusion drawing in order to be able to answer research questions with high reliability. We conclude that health leadership is characteristic of how medical roles lead people to health. Value health and maintain it until community members find physical and mental health. The medical team minimizes stress by communicating openly and creating a healthy and safe environment for its citizens' creative thinking and expression. These results are helpful for the development of literature and public health applications.

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Published

2021-10-10

How to Cite

Bangkara, B. M. A. S. A., Rachmawati, I., Liantoni, F., Hidayatulloh, A. N., & Suarsa, A. (2021). Optimizing health leadership in early prevention efforts in village communities: Review of public health database. International Journal of Health Sciences, 5(3), 352-363. https://doi.org/10.53730/ijhs.v5n3.1576

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Section

Peer Review Articles