Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector <em>Lutzomyia longipalpis</em> in Sao Paulo and Bahia states, Brazil
Data and Resources
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w4282927417url
Resource pointing to https://doi.org/10.4081/gh.2022.1095
Additional Info
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Last Updated | May 7, 2025, 15:19 (UTC) |
Created | May 7, 2025, 15:19 (UTC) |
authorships | Moara de Santana Martins Rodgers (https://orcid.org/0000-0002-1738-929X), Elivelton da Silva Fonseca (https://orcid.org/0000-0002-6612-3981), Prixia Nieto (None), John B. Malone (https://orcid.org/0000-0002-0140-5793), Jeffery C. Luvall (None), Jennifer C. McCarroll (None), Ryan Avery (None), Maria Emília Bavia (None), Raúl Borges Guimarães (https://orcid.org/0000-0002-9925-5374), Xue Wen (https://orcid.org/0000-0002-7529-9436), Marta Mariana Nascimento Silva (https://orcid.org/0000-0001-5849-6860), Deborah Daniela Madureira Trabuco Carneiro (None), Luciana Lobato Cardim (https://orcid.org/0000-0002-2262-2439) |
created_date | 2022-06-16 |
doi | https://doi.org/10.4081/gh.2022.1095 |
file_type | TXT |
link_to_dashboard | https://nationaldataplatform.org/data-insights |
openalex_id | https://openalex.org/W4282927417 |
publication_date | 2022-06-08 |
publication_year | 2022 |
updated_date | 2025-04-22T16:56:36.737346 |
work_type | article |