Article Per Year (5 Year)
p-Index From 2020 - 2025
0.751
P-Index
This Author published in this journals
All Journal International Journal of Public Health Science (IJPHS) Window of Health : Jurnal Kesehatan Hearty : Jurnal Kesehatan Masyarakat Berita Kedokteran Masyarakat
Rahastri, Ajeng
Unknown Affiliation
Health Professions Medicine & Pharmacology Nursing Public Health Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
The impact of COVID-19 on dengue cases in low- and middle-income countries: a systematic review Rahastri, Ajeng; Sulistyawati, Sulistyawati
International Journal of Public Health Science (IJPHS) Vol 13, No 4: December 2024
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v13i4.24454

Abstract

The WHO declared the COVID-19 pandemic on March 11, 2020, impacting infectious disease surveillance in low-resource, low-income countries, low- and middle-income countries (LMICs). Governments are focusing on COVID-19 reduction, including healthcare workers and epidemiological teams. A comprehensive literature review was conducted to assess this impact. After examining over 19,000 studies, only six were found to provide relevant data. Our analysis revealed that the pandemic substantially affected dengue incidence. The total number of articles obtained was 19,382. Out of the 136 articles screened based on their abstracts, only six were selected for data extraction. The databases utilized in this article were Pubmed and NCBI. Based on the chosen papers, we discovered that the COVID-19 pandemic has had a notable impact on the occurrence of dengue compared to the period before the pandemic emerged. The occurrence of dengue varied in several nations, such as Peru, Brazil, Sri Lanka, India, and Malaysia. This variation can be attributed to factors such as reliance on traditional approaches, for example community health volunteers in epidemiological investigations. Additionally, misdiagnoses by healthcare professionals due to the similarity of symptoms with COVID-19 have been reported during the pandemic. While the prevalence of dengue fever cases has generally declined in low- and middle-income countries (LMICs), one country has experienced an increased case. This trend is possibly linked to heightened pandemic surveillance and changes in mosquito populations. To improve monitoring and surveillance, a digital approach is proposed.
THE EPIDEMIOLOGY OF COVID-19 IN PANDEYAN UMBULHARJO, YOGYAKARTA CITY IN 2021 Ria, Dana Asta; Sulistyawati, Sulistyawati; Padmawati, Ike Lukita; Rahastri, Ajeng
HEARTY Vol 12 No 1 (2024): FEBRUARI
Publisher : Fakultas Ilmu Kesehatan, Universitas Ibn Khaldun, Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/hearty.v12i1.15352

Abstract

Background: COVID-19 is an acute respiratory infection caused by the Coronavirus, known as Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The emergence of COVID-19 has affected the health conditions of all countries, especially Indonesia. Efforts to prevent and control the spread of cases include conducting epidemiological investigations. Indonesia uses community health centres as primary health services to prevent transmission through surveillance systems such as epidemiological investigations. This research describes the epidemiological of COVID-19 in the Pandeyan region of Umbulharjo Yogyakarta City from June to August 2021. Objective: This study aims to describe the epidemiology of COVID-19 cases in the Pandeyan, Umbulharjo Yogyakarta City from June to August 2021. Method: This was quantitative descriptive research using secondary data from epidemiology investigation. The population in this study was all people who were the target of Epidemiology Investigation in Pandeyan, Umbulharjo, in June-August 2021, namely 477 perople. The sample was taken by total sampling. The instrument used was the Epidemiological Investigation Form (PE) result. Results: The most cases of COVID-19 were women, namely 271 (56.81%), with the most extensive age range being 26-35 years, namely 94 cases. The most cases of COVID-19 were found in RW 6, Pandenyan (107 cases). In July 2021, 260 cases were reported; the highest cases were on June 30, 2021. Conclusion: COVID-19 cases are often found in RW 6, Pandeyan, Umbulharjo. In July 2021, as many as 260 cases were reported, and a spike in daily cases was observed on June 30, 2021.
Machine Learning Approach to Predict the Dengue Cases Based on Climate Factors Nasir, Muhammad; Aldillah Wulandhari, Shobiechah; Tenrisau, Dhihram; Haris Ibrahim, Muhammad; Rahastri, Ajeng; Sa’adatar Rohmah, Nilna; Surya, Asik; Thohir, Burhanuddin; Aryani, Desfalina; Firdaus Kasim, Muhammad
Window of Health : Jurnal Kesehatan Vol 7 No 2 (April 2024)
Publisher : Fakultas Kesehatan Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/woh.vi.1428

Abstract

Dengue is a global health issue threatening public health, particularly in developing countries. Effective disease surveillance is critical to anticipate impending outbreaks and implement appropriate control responses. However, delays in dengue case reporting are frequent due to human resource shortfalls. Improved outbreak predictive capacity also requires additional input on vector presence and abundance, which is currently not captured in the surveillance platform. Thus, we developed a prototype AI application, “Dengue Forecasting", that leverages machine learning methods in filing the dengue case report and incorporates dengue vector and climatic parameters. This application simplifies the recording of dengue cases, vector abundance (Angka Bebas Jentik/ABJ), and selected climatic variables (sun exposure, temperature, humidity, wind speed, and precipitation) in Bandung City. The relevant data were extracted from Indonesia’s Ministry of Health and the Meteorological, Climatological, and Geophysical Agency. The entire process, from developing the model to deployment, was conducted under R programming language version 4.2.2 using packages (caret, shiny.io). The linear regression model demonstrated the highest precision (RMSE= 268.32 and MAE= 164.1) in predicting the dengue cases and outbreaks. We also applied this to the application deployment. “Dengue Forecasting” has the potential to assist policymakers at the district level, complementing Dengue EWARS, in anticipating and mitigating dengue outbreaks, especially in Bandung City.
Management of infectious waste from COVID-19 self-isolation patient in Puskesmas Kasihan 2 working area Khairani, Nadhira; Rahastri, Ajeng; Surbakti, Hana Yesica
BKM Public Health and Community Medicine PHS8 Accepted Abstracts
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Objective: This study aims to explore the management of infectious waste in COVID-19 self-isolated patients in ​Ngestiharjo and Tirtonirmolo villages of Puskesmas Kasihan 2, Kasihan Bantul Regency. Method: The study used a qualitative research design. Stakeholders and technical officers related to waste management in the study area were selected to be informants. Data were collected during September – October 2021 by in-depth interview and analyzed using thematic analysis techniques. Data source triangulation was conducted to improve the trustworthiness of the data. Results: This analysis showed two themes related to the management of infectious waste generated by self-isolation patients. The first one is the incompatibility of waste handling implementation. The patients should be responsible for the infectious waste they generate so that burning waste and mixing it with general household garbage becomes an issue. The other theme Is the importance of local policy regarding the COVID-19 waste management. Since the pandemic, waste management has been referring to the Ministry of Environment and Forestry policy (SE.3/MENLHK/PSLB3/PLB.3/3/2021), which was not socialized to the local community so that infectious waste did not become a concern of Covid-19 control in the area. Conclusion: A policy directly related to infectious waste from self-isolated patients is essential in implementing safe infectious waste management. Besides, the lack of adequate facilities and human resources also contributed to the issues.
Co-Authors Aldillah Wulandhari, Shobiechah Aryani, Desfalina Firdaus Kasim, Muhammad Haris Ibrahim, Muhammad Khairani, Nadhira Padmawati, Ike Lukita Ria, Dana Asta Rony, Zahara Tussoleha Sa’adatar Rohmah, Nilna Sulistyawati Sulistyawati Surbakti, Hana Yesica Surya, Asik Tenrisau, Dhihram Thohir, Burhanuddin