Spatially varying auto‐regressive models for prediction of new human immunodeficiency virus diagnoses
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DOI: 10.1111/rssc.12269
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Cited by:
- Peter Congdon, 2022. "A Model for Highly Fluctuating Spatio-Temporal Infection Data, with Applications to the COVID Epidemic," IJERPH, MDPI, vol. 19(11), pages 1-17, May.
- Peter Congdon, 2022. "A spatio-temporal autoregressive model for monitoring and predicting COVID infection rates," Journal of Geographical Systems, Springer, vol. 24(4), pages 583-610, October.
- Herlina Hanum & Yuli Andriani & Risma Dwi Yunita Yana & Dwi Setyawan, 2024. "Spatial Regression Analysis on Factors Influencing Number of HIV/AIDS Cases in Indonesia," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 11(15), pages 730-738, November.
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