default author photo

Anisha Pulinchani

Indian Council of Medical Research (ICMR) - National Institute of Virology

SCHOLARLY PAPERS

2

DOWNLOADS

44

TOTAL CITATIONS

0

Scholarly Papers (2)

Actions:
Email selected abstracts
1.

Recent Case Burden, Population Density and Meteorological Variables Predict Aedes-Borne Diseases Better Than Traditional Larval Indices in Western India: Results from Geospatial and Machine Learning Analysis

Number of pages: 21 Posted: 03 Apr 2026
Sreelakshmi PR, Anisha Pulinchani, Mathew J. Valamparampil and See PDF
Indian Council of Medical Research (ICMR), Indian Council of Medical Research (ICMR) - National Institute of Virology, Kerala Health Department and Please see PDF for full list of authors & affiliations
Downloads 26 (1,385,945)

Abstract:

Loading...

Dengue, Chikungunya, Aedes-Borne Diseases, India, Outbreak, Prediction, Machine Learning, Integrated Surveillance

2.

Understanding and Predicting Highly Pathogenic Avian Influenza Outbreaks in India through Spatio-Temporal Analysis and Environmental Risk Modelling

Number of pages: 28 Posted: 09 May 2026
Anisha Pulinchani, Ishwari Sarde, Sarah Cherian, Shailesh Pawar and Naveen Kumar
Indian Council of Medical Research (ICMR) - National Institute of Virology, Indian Council of Medical Research (ICMR) - National Institute of Virology, Indian Council of Medical Research (ICMR) - National Institute of Virology, Indian Council of Medical Research (ICMR) - National Institute of Virology and Indian Council of Medical Research (ICMR) - National Institute of Virology
Downloads 18 (1,470,786)

Abstract:

Loading...

HPAI H5N1 and H5N8, Sankey Plot, Risk Mapping, Local Indicators of Spatial Association (LISA), Graph Convolutional Networks (GCN), Graph Attention Networks (GAT)