 
		About the Journal
Journal Title: Health Sciences International Journal
ISSN: 3026-5037
Publisher: Ananda Health and Education Foundation
Frequency: Biannual - February & August
Indexing: Google Scholar, ASCI, Garuda, Dimension, Index Copernicus International, Paperity
Website: https://hsij.anandafound.com/journal
Template 
Contact Email: chefound.id@gmail.com 
Brief Description:
Health Sciences International Journal (HSIJ) is a biannual, open-access journal committed to publishing high-quality, peer-reviewed research in health and related sciences. Launched in 2023, HSIJ serves as a scholarly platform for disseminating innovations, methodologies, and scientific advancements across various health disciplines. Utilizing a double-blind peer-review process, the journal features original research, reviews, case reports, and short communications, ensuring scientific rigor and impact in every issue.
We recommend that you review the About the Journal page for the journal's section policies and the Author Guidelines. Authors need to register; if you are already registered, you can log in.
Days to first decission         : 14 days
Days to accept                      : 90 days
Days to reject                        : 30 days
Current Issue
Articles
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Improving the knowledge women of reproductive age about contraception through use of Klik KB Abstract 
View: 271 Abstract 
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Risk factors of thrombocytopenia among pregnant women attending antenatal clinic at Parirenyatwa Group of Hospitals, 2023 – 2024 Abstract 
View: 177 Abstract 
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Assosiation of maternal factors on stunting incidence in toddlers at Cempaka Inpatient Health Center, Banjarbaru Abstract 
View: 429 Abstract 
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Association between maternal age, nutritional status, and toddler stunting Abstract 
View: 164 Abstract 
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Posyandu cadres roles and complete basic immunization coverage in Muara Teweh Community Health Center Abstract 
View: 91 Abstract 
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Birth history as a predictor of stunting incidence among toddlers Abstract 
View: 61 Abstract 
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Methods in health research: Probability and non-probability sampling Abstract 
View: 580 Abstract 
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