17 results on '"Dhingra, Madhur S."'
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2. Changing Geographic Patterns and Risk Factors for Avian Influenza A(H7N9) Infections in Humans, China
3. H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data
4. Spatio-temporal epidemiology of highly pathogenic avian influenza (subtype H5N1) in poultry in eastern India
5. Avian influenza A (H5N1) outbreaks in different poultry farm types in Egypt: the effect of vaccination, closing status and farm size
6. Introduction and spread of lumpy skin disease in South, East and Southeast Asia
7. Detection of highly pathogenic avian influenza in Sekong Province Lao PDR 2018—Potential for improved surveillance and management in endemic regions
8. The impact of surveillance and control on highly pathogenic avian influenza outbreaks in poultry in Dhaka division, Bangladesh
9. Detection of highly pathogenic avian influenza in Sekong Province Lao PDR 2018—Potential for improved surveillance and management in endemic regions.
10. Geographical and Historical Patterns in the Emergences of Novel Highly Pathogenic Avian Influenza (HPAI) H5 and H7 Viruses in Poultry
11. Could Changes in the Agricultural Landscape of Northeastern China Have Influenced the Long-Distance Transmission of Highly Pathogenic Avian Influenza H5Nx Viruses?
12. The impact of surveillance and control on highly pathogenic avian inuenza outbreaks in poultry in Dhaka division, Bangladesh
13. Changing geographic patterns and risk factors for avian influenza A(H7N9) infection in China
14. H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data
15. Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation
16. Author response: Global mapping of highly pathogenic avian influenza H5N1 and H5Nx clade 2.3.4.4 viruses with spatial cross-validation
17. Clade-level Spatial Modelling of HPAI H5N1 Dynamics in the Mekong Region Reveals New Patterns and Associations with Agro-Ecological Factors
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