Data

Defining the risk to humans of emerging zoonotic malaria in Indonesia

James Cook University
Van de Straat, Bram ; Burkot, Thomas ; Russell, Tanya ; Staunton, Kyran ; Grigg, Matthew
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25903/374a-xh19&rft.title=Defining the risk to humans of emerging zoonotic malaria in Indonesia&rft.identifier=10.25903/374a-xh19&rft.publisher=James Cook University&rft.description=Datasets containing the generated data from field studies in Indonesia, conducted between May 2022 and July 2023. Software/equipment used to create/collect the data: ODK Collect v2024 1.3 (ONA.io) - can be run on any PC, laptop, tablet or mobile phone with internet connection Software/equipment used to manipulate/analyse the data: R Studio (R version 4.0.2), Microsoft Excel (Office 365)The raw field data containing information on mosquito species, sampling station/night, storage, etc.&rft.creator=Van de Straat, Bram &rft.creator=Burkot, Thomas &rft.creator=Russell, Tanya &rft.creator=Staunton, Kyran &rft.creator=Grigg, Matthew &rft.date=2024&rft.relation= https://doi.org/10.1186/s12936-022-04129-2&rft.relation=https://doi.org/10.1038/s41598-021-94656-w&rft.coverage=east=98.188485; north=3.374404; projection=WGS84&rft.coverage=Ujung Bandar village, North Sumatra, Indonesia&rft_rights=&rft_rights=CC BY 4.0: Attribution 4.0 International http://creativecommons.org/licenses/by/4.0&rft_subject=Malaria&rft_subject=Mosquito vectors&rft_subject=Anopheles&rft_subject=Plasmodium knowlesi&rft_subject=Invertebrate biology&rft_subject=Zoology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Public health not elsewhere classified&rft_subject=Public health&rft_subject=HEALTH SCIENCES&rft_subject=Expanding knowledge in the biological sciences&rft_subject=Expanding knowledge&rft_subject=EXPANDING KNOWLEDGE&rft_subject=Public health (excl. specific population health) not elsewhere classified&rft_subject=Public health (excl. specific population health)&rft_subject=HEALTH&rft.type=dataset&rft.language=English Access the data
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CC-BY

CC BY 4.0: Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0

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Brief description

The raw field data containing information on mosquito species, sampling station/night, storage, etc.

Full description

Datasets containing the generated data from field studies in Indonesia, conducted between May 2022 and July 2023.

Software/equipment used to create/collect the data: ODK Collect v2024 1.3 (ONA.io) - can be run on any PC, laptop, tablet or mobile phone with internet connection

Software/equipment used to manipulate/analyse the data: R Studio (R version 4.0.2), Microsoft Excel (Office 365)

Created: 2024-06-01

Data time period: 08 2022 to 31 07 2023

This dataset is part of a larger collection

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98.18849,3.3744

98.188485,3.374404

dcmiPoint: east=98.188485; north=3.374404; projection=WGS84

text: Ujung Bandar village, North Sumatra, Indonesia

Subjects
Anopheles | Biological Sciences | Expanding Knowledge | Expanding Knowledge | Expanding Knowledge in the Biological Sciences | Health | Health Sciences | Invertebrate Biology | Malaria | Mosquito vectors | Plasmodium knowlesi | Public Health | Public Health (Excl. Specific Population Health) | Public Health (Excl. Specific Population Health) Not Elsewhere Classified | Public Health Not Elsewhere Classified | Zoology |

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Identifiers
  • DOI : 10.25903/374A-XH19
  • Local : researchdata.jcu.edu.au//published/4da20a3024cf11efba67b591b3714429