Estimasi Kejadian Covid-19 Secara Real Time menggunakan R Programming

  • Adnan Sauddin Program Studi Matematika UINAM
    (ID)
  • Try Azisah Nurma Universitas Islam Negeri Alauddin Makassar
    (ID)
  • Khalilah Nurfadilah Universitas Islam Negeri Alauddin Makassar
    (ID)

Abstrak

Pada artikel ini menguraikan Langkah-langkah estimasi kejadian covid-19 di Indonesia khusus wilayan Sulawesi selatan secara real time menggunakan Bahasa R.

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Program Studi Matematik UINAM
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Program Studi Matematika
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Program Studi Matematika

Referensi

Bettencourt LMA, Ribeiro RM (2008) Real Time Bayesian Estimation of the Epidemic Potential of Emerging Infectious Diseases. PLoS ONE 3(5): e2185. https://doi.org/10.1371/journal.pone.0002185

Mwangi TW, Fegan G, Williams TN, Kinyanjui SM, Snow RW, Marsh K (2008) Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children. PLoS ONE 3(5): e2196. https://doi.org/10.1371/journal.pone.0002196

Haign John, (2002) Probability Models. Springer. London.

David J. Olive, (2014). Statistical Teory and Inferences. Springer. London.

Murray Logan,(2010) Biostatistical Design and Analysis Using R, John Wiley & Sons, Inc. New York.

Gergely Daróczi ,(2015)Mastering Data Analysis with R. Packt Publishing. Birmingham, UK.

Data Covid-19 Indonesia. https://prod-hub-indexer.s3.amazonaws.com/files/685be21cd0034247b5ceeac996d947fe/0/full/4326/685be21cd0034247b5ceeac996d947fe_0_full_4326.csv

Diterbitkan
2020-07-06
Abstrak viewed = 107 times

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