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All Journal Media Gizi Kesmas
Mahmudah
Department of Epidemiology, Biostatistics, Population Studies, and Health Promotion, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia

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Faktor Risiko Distal yang Memengaruhi Anemia pada Anak Usia 6-59 Bulan: Analisis Data Demographic and Health Survey Zimbabwe 2015 Nahya Rahmatul Ariza; Trias Mahmudiono; Mahmudah; Soenartalina Melaniani
Media Gizi Kesmas Vol 13 No 1 (2024): MEDIA GIZI KESMAS (JUNE 2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mgk.v13i1.2024.329-335

Abstract

Background: Anemia is the cause of child death in Africa. More than one-third (37%) of children aged 6-59 months in Zimbabwe are anemic. Anemia is caused by two factors, namely proximal factor (attached to the individual) and distal factor (not attached to the individual). Objectives: This study aims to determine the distal risk factors associated with anemia in children aged 6-59 months in Zimbabwe. Methods: A cross-sectional study design by analyzing Demographic and Health Survey (DHS) data for Zimbabwe in 2015. The total sample was 4303 households with children aged 6-59 months and fulfilled all the study variables. That became independent variables in this study were land ownership, types of livestock, and two factors from the results of the Principal Component Analysis test, water and toilet sanitation and building sanitation. Univariate analysis was performed to see the frequency distribution of each variable, then bivariate analysis with chi-square and Mann-Whitney tests to determine factors that were significantly related to the incidence of anemia and further tested with logistic regression. Results: Based on the results of this study, it was found that variables that were significantly related to the incidence of anemia were age, agricultural land ownership, types of livestock, water and toilet sanitation, and building sanitation. From several variables that became distal risk factors, it was found that variables that increased the risk factors for anemia in children aged 6-59 months, namely not having agricultural land (OR=2.84; 95% CI=2.38-3.4; p<0, 05), do not own livestock (OR=1.72; 95%CI=1.48-2; p<0.05) own poultry (OR=1.45; 95%CI=1.2-1.74) ; p<0.05) and building sanitation (OR=1.07; 95% CI=1-1.14; p<0.05). In addition, this study found a protective factor against the incidence of anemia in children aged 6-59 months in Zimbabwe, namely water and toilet sanitation (OR=0.85; 95% CI=0.8-0.91; p<0.05). Conclusions: The causes of anemia in children aged 6-59 months are multifactorial. We suggest that policymakers plan an integrated program specifically in agriculture and animal husbandry so that every household has agricultural land and livestock to reduce the incidence of anemia in children aged 6-59 months in Zimbabwe.
Peramalan Jumlah Kasus Baru Covid-19 di Kota Malang: Kajian dengan Analisis Time Series Metode Exponential Smoothing Dinana Izzatul Ulya; Mahmudah; Hari Basuki Notobroto
Media Gizi Kesmas Vol 13 No 1 (2024): MEDIA GIZI KESMAS (JUNE 2024)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/mgk.v13i1.2024.427-432

Abstract

Background: COVID-19 is a disease caused by the coronavirus and causes the main symptoms in the form of respiratory problems. The first case of COVID-19 in Indonesia occurred in March 2020. Forecasting COVID-19 cases is important to determine the right strategy for dealing with wider transmission of COVID-19. Time series analysis is a statistical analysis that can make very accurate forecasts, by considering previous data patterns. The Exponential Smoothing Method is one of the methods developed in time series analysis. Objectives: This research aims to forecast COVID-19 cases in Malang City. Methods: This research was conducted at the Malang City Health Service by taking secondary data, namely monthly data on the number of COVID-19 cases from March 2020 to August 2022. Results: Based on the research results, it shows that the number of new cases obtained in September - December 2022 was 856. Single Exponential Smoothing Mode; generated in a mathematical model is Lt = (0,0177)Yt + (0,9823)Lt-1. Conclusions: A study of the number of new COVID-19 cases in Malang City shows fluctuations from 2020-2022. The Single Exponential Smoothing method is the appropriate method for forecasting this research.