District-level measles outbreak prediction in Bangladesh using geospatial artificial intelligence

Md. Abu Bokkor Shiddik, Md. Siddikur Rahman

Open source

DOI: 10.1186/s12879-026-14067-y
Published: 2026-08-04
Container: BMC Infectious Diseases
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s12879-026-14067-y,
  title = {District-level measles outbreak prediction in Bangladesh using geospatial artificial intelligence},
  author = {Md. Abu Bokkor Shiddik and Md. Siddikur Rahman},
  year = {2026},
  journal = {BMC Infectious Diseases},
  doi = {10.1186/s12879-026-14067-y},
  url = {https://doi.org/10.1186/s12879-026-14067-y}
}

RIS

TY  - JOUR
TI  - District-level measles outbreak prediction in Bangladesh using geospatial artificial intelligence
AU  - Md. Abu Bokkor Shiddik
AU  - Md. Siddikur Rahman
PY  - 2026
JO  - BMC Infectious Diseases
DO  - 10.1186/s12879-026-14067-y
UR  - https://doi.org/10.1186/s12879-026-14067-y
ER  -

APA

Shiddik, M. A. B., & Rahman, M. S. (2026). District-level measles outbreak prediction in Bangladesh using geospatial artificial intelligence. BMC Infectious Diseases. https://doi.org/10.1186/s12879-026-14067-y

Source records

crossref · retrieved 2026-11-04T14:11:02.685Z