Cost–benefit analysis of remote sensing data types for mapping mosquito breeding sites-Reference-Cited by-同舟云学术

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Cost–benefit analysis of remote sensing data types for mapping mosquito breeding sites

Published:2023-02-23 Issue:4 Volume:31 Page:419-428
ISSN:2366-3286
Container-title:Spatial Information Research
language:en
Short-container-title:Spat. Inf. Res.

Author:

Kenyeres Zoltán^ORCID,Bauer Norbert,Bertalan László,Szabó Gergely,Márkus András,Sáringer-Kenyeres Tamás,Szabó Szilard

Funder

Development and Innovation Fund of Hungary

Innovációs és Technológiai Minisztérium

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s41324-023-00511-7.pdf

Reference39 articles.

1. Reunala, T., Brummer-Korvenkontio, H., & Palosuo, T. (1994). Are we really allergic to mosquito bites? Annals of Medicine, 26, 301–306. https://doi.org/10.3109/07853899409147906

2. Mushinzimana, E., Munga, S., Minakawa, N., Li, L., Feng, C. C., Bian, L., Kitron, U., Schmidt, C., Beck, L., Zhou, G., Githeko, A. K., & Yan, G. (2006). Landscape determinants and remote sensing of Anopheline mosquito larval habitats in the western Kenya highlands. Malaria Journal, 5, 13–23. https://doi.org/10.1186/1475-2875-5-13

3. Ali, S. A., & Ahmad, A. (2018). Using analytic hierarchy process with GIS for Dengue risk mapping in Kolkata Municipal Corporation, West Bengal, India. Spatial Information Research, 26, 449–469. https://doi.org/10.1007/s41324-018-0187-x

4. Ghosh, S., Dinda, S., Das Chatterjee, N., Das, K., & Mahata, R. (2019). The spatial clustering of dengue disease and risk susceptibility mapping: An approach towards sustainable health management in Kharagpur city, India. Spatial Information Research, 27, 187–204. https://doi.org/10.1007/s41324-018-0224-9

5. Ali, S. A., & Ahmad, A. (2019). Mapping of mosquito-borne diseases in Kolkata Municipal Corporation using GIS and AHP based decision making approach. Spatial Information Research, 27, 351–372. https://doi.org/10.1007/s41324-019-00242-8

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