Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia

The aim of this research is to explain the predicted impact of Covid-19 on fertility in the Special Region of Yogyakarta (DIY). The indicators used are the number of pregnancies and the number of births. To get pregnancy and birth predictions, various basic data were processed using the Spectrum pro...

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Autores principales: Alfana Muhammad Arif Fahrudin, Rohmah Hidayati Nur, Nurulhuda Salma, Sadali Mohammad Isnaini
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Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/c211f4f134b64bee8ef9631f5a56a2ea
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spelling oai:doaj.org-article:c211f4f134b64bee8ef9631f5a56a2ea2021-12-02T17:11:57ZPredicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia2267-124210.1051/e3sconf/202132506008https://doaj.org/article/c211f4f134b64bee8ef9631f5a56a2ea2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/101/e3sconf_icst2021_06008.pdfhttps://doaj.org/toc/2267-1242The aim of this research is to explain the predicted impact of Covid-19 on fertility in the Special Region of Yogyakarta (DIY). The indicators used are the number of pregnancies and the number of births. To get pregnancy and birth predictions, various basic data were processed using the Spectrum program using the DemProj and Famplan modules, then analyzed by descriptive analysis. The basic data is collected from the Central Statistics Agency (BPS) and other relevant agencies. The result shows that birth and pregnancies in DIY will increase. This prediction is based on the decreasing use of short -term contraceptive methods during the pandemic. In the worst-case scenario, the rise in pregnancies between 2019-2020 would be 67,862 cases, meanwhile births are expected to increase by 37.56 thousand cases during the same period.Alfana Muhammad Arif FahrudinRohmah Hidayati NurNurulhuda SalmaSadali Mohammad IsnainiEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 325, p 06008 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Alfana Muhammad Arif Fahrudin
Rohmah Hidayati Nur
Nurulhuda Salma
Sadali Mohammad Isnaini
Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia
description The aim of this research is to explain the predicted impact of Covid-19 on fertility in the Special Region of Yogyakarta (DIY). The indicators used are the number of pregnancies and the number of births. To get pregnancy and birth predictions, various basic data were processed using the Spectrum program using the DemProj and Famplan modules, then analyzed by descriptive analysis. The basic data is collected from the Central Statistics Agency (BPS) and other relevant agencies. The result shows that birth and pregnancies in DIY will increase. This prediction is based on the decreasing use of short -term contraceptive methods during the pandemic. In the worst-case scenario, the rise in pregnancies between 2019-2020 would be 67,862 cases, meanwhile births are expected to increase by 37.56 thousand cases during the same period.
format article
author Alfana Muhammad Arif Fahrudin
Rohmah Hidayati Nur
Nurulhuda Salma
Sadali Mohammad Isnaini
author_facet Alfana Muhammad Arif Fahrudin
Rohmah Hidayati Nur
Nurulhuda Salma
Sadali Mohammad Isnaini
author_sort Alfana Muhammad Arif Fahrudin
title Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia
title_short Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia
title_full Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia
title_fullStr Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia
title_full_unstemmed Predicting the impact of COVID-19 on fertility in the Special Region of Yogyakarta, Indonesia
title_sort predicting the impact of covid-19 on fertility in the special region of yogyakarta, indonesia
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/c211f4f134b64bee8ef9631f5a56a2ea
work_keys_str_mv AT alfanamuhammadariffahrudin predictingtheimpactofcovid19onfertilityinthespecialregionofyogyakartaindonesia
AT rohmahhidayatinur predictingtheimpactofcovid19onfertilityinthespecialregionofyogyakartaindonesia
AT nurulhudasalma predictingtheimpactofcovid19onfertilityinthespecialregionofyogyakartaindonesia
AT sadalimohammadisnaini predictingtheimpactofcovid19onfertilityinthespecialregionofyogyakartaindonesia
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