Projection of Climate Change on the Probability of Dengue Hemorrhagic Fever in North Sumatra Province

Theresia Grefyolin Simbolon, Erna Frida, Marzuki Sinambela, Marhaposan Situmorang, Syahrul Humaidi, Yahya Darmawan

Abstract


Climate change is a major threat to global prosperity. The industrial revolution has occurred since 1750 to 2010 where the increase in global air temperature has reached 0.7°C. Rising temperatures and fluctuating rainfall is the identification of climate change, one of the impacts of climate change is changing the distribution of some types of mosquitoes (Aedes Aegypti).Based on the results of the analysis of the main components, a good model uses an accuracy rate of about 85% and passes the test individually and as a whole. Indonesia has a tropical climate where warm temperatures and high rainfall variability are a comfortable habitat for Aedes Aegypti mosquitoes. The breeding and life cycle of the Aedes Aegypti mosquito is directly influenced by climatic conditions. The purpose of this study is to determine the normal rainfall map, an overview of climate projection patterns, identification of characteristics of climate change in the short term (2011 – 2040), medium term (2041 – 2070) and long term (2071-2100) based on rainfall and temperature projections in North Sumatra province. Statistical methods used to determine the effect of climate on health (dengue) include statistical downscaling, delta bias correction, Principal Component Analysis, and ordinal logistic regression. The results of the ordinal logistic regression analysis show that rainfall that is suitable for dengue fever ranges from 100 - 300 mm. For North Sumatra rainfall ranges from 50 - 600 mm. In March and November is the strongest threat because of the peak with high rainfall intensity where the danger of flooding and dengue. The air temperature ranges from 24.5 - 28.5 oC, this condition is still optimal for the development of the Aedes Aegypti mosquito. The climate change projection index for the short term (2011 - 2040), medium term (2041 - 2070) and long term (2071 - 2100) shows a consistent increase with a range of 0.40C, this value will affect the acceleration of the reproduction of the Aedes aegypti mosquito as the cause of DHF. The projection probability of dengue hemorrhagic fever shows that North Sumatra Province still has a high chance of being categorized as a high risk area for dengue fever with a probability value of 0.82 - 0.99.

Keywords


Climate change, dengue hermologic fever, ordinal logistic regression, probability

Full Text:

PDF

References


Brisbois, B. W., & Ali, S. H. (2010). Climate change, vector-borne disease and interdisciplinary research: Social science perspectives on an environment and health controversy. EcoHealth, 7(4). https://doi.org/10.1007/s10393-010-0354-6

BMKG 2021. No Title. [Diakses 2021]. Available from: https://www.bmkg.go.id/.

BMKGSoft 2021. Metadata. [Diakses 11 Mei 2021]. Available from: https://bmkgsoft.database.bmkg.go.id/MetView/#metadata.

BPS 2021. No Title. [Diakses 2021]. Available from: https://www.bps.go.id/.

Cahyadi, Daniel. 2007. Ekstraksi dan Kemiripan. Universitas Indonesia.

Fadholi, A. (2013). UJI PERUBAHAN RATA-RATA SUHU UDARA DAN CURAH HUJAN DI KOTA PANGKALPINANG. Jurnal Matematika Sains Dan Teknologi, 14(1). https://doi.org/10.33830/jmst.v14i1.309.2013

Faqih, A. (2017). A Statistical Bias Correction Tool for Generating Climate Change Scenarios in Indonesia based on CMIP5 Datasets. IOP Conference Series: Earth and Environmental Science, 58(1). https://doi.org/10.1088/1755-1315/58/1/012051

Githeko, A. K., & Woodward, A. (n.d.). International consensus on the science of climate and health: the IPCC Third Assessment Report.

IPCC. (2013). Climate Change 2013: The Physical Science Basis Summary for Policymakers. In IPCC Intergovernmental Panel on Climate Change.

Pabalik, I., Ihsan, N., & Arsyad, M. (2015). Analisis Fenomena Perubahan Iklim dan Karakteristik Curah Hujan Ekstrim di Kota Makassar. Jurnal Sains Dan Pendidikan Fisika, 11(1).

Putra, I. D. G. A., Rosid, M. S., Sopaheluwakan, A., & Sianturi, Y. C. U. (2020). The CMIP5 projection of extreme climate indices in Indonesia using simple quantile mapping method. AIP Conference Proceedings, 2223. https://doi.org/10.1063/5.0000849

Tarmana, D. (2017). POTENSI PELUANG DEMAM BERDARAH DENGUE (DBD) BERDASARKAN PROYEKSI PERUBAHAN IKLIM (STUDY KASUS : DKI JAKARTA). The Indonesian Journal of Infectious Diseases, 1(2). https://doi.org/10.32667/ijid.v1i2.8

Wayne, G. P. (2013). The Beginner’s Guide to Representative Concentration Pathways ( RCPs). Skeptical Sciece, 1.0.




DOI: https://doi.org/10.33394/j-ps.v11i2.7754

Refbacks

  • There are currently no refbacks.




Copyright (c) 2023 Theresia Grefyolin Simbolon, Erna Frida, Marzuki Sinambela, Marhaposan Situmorang, Syahrul Humaidi, Yahya Darmawan

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License
J-PS (Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram) p-ISSN (print) 2338-4530, e-ISSN (online) 2540-7899 is licensed under a Creative Commons Attribution 4.0 International License.

View My Stats