Exploring the past and forecasting the future of malaria in selected Nigerian states: A time series modelling approach using wavelet and SARIMA.

Bakare EA, Mogbojuri OA, Bakare DA, Odewusi OJ

Open source

DOI: 10.1371/journal.pone.0337791
Published: 2026
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0337791,
  title = {Exploring the past and forecasting the future of malaria in selected Nigerian states: A time series modelling approach using wavelet and SARIMA.},
  author = {Bakare EA and Mogbojuri OA and Bakare DA and Odewusi OJ},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0337791},
  url = {https://doi.org/10.1371/journal.pone.0337791}
}

RIS

TY  - JOUR
TI  - Exploring the past and forecasting the future of malaria in selected Nigerian states: A time series modelling approach using wavelet and SARIMA.
AU  - Bakare EA
AU  - Mogbojuri OA
AU  - Bakare DA
AU  - Odewusi OJ
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0337791
UR  - https://doi.org/10.1371/journal.pone.0337791
ER  -

APA

EA, B., OA, M., DA, B., & OJ, O. (2026). Exploring the past and forecasting the future of malaria in selected Nigerian states: A time series modelling approach using wavelet and SARIMA.. PloS one. https://doi.org/10.1371/journal.pone.0337791

Source records

pubmed · retrieved 2026-09-25T18:04:30.213Z
europe-pmc · retrieved 2026-09-25T18:04:30.232Z
doaj · retrieved 2026-09-25T18:04:30.204Z