Research Data JCU - Defining the risk to humans of emerging zoonotic malaria in Indonesia

Defining the risk to humans of emerging zoonotic malaria in Indonesia

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)

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Data Record Details

Data record related to this publication Defining the risk to humans of emerging zoonotic malaria in Indonesia

Data Publication title Defining the risk to humans of emerging zoonotic malaria in Indonesia

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)

Other Descriptors

Descriptor

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

Descriptor type Brief

Data type dataset

Keywords

Malaria
Mosquito vectors
Anopheles
Plasmodium knowlesi

Funding source

Australian Centre for International Agricultural Research

Research grant(s)/Scheme name(s)

27093 - Establishing a network for surveillance of zoonotic malaria in Indonesia (ZOOMAL)

Research themes

Tropical Health, Medicine and Biosecurity

FoR Codes (*)

310913 - Invertebrate biology
420699 - Public health not elsewhere classified

SEO Codes

280102 - Expanding knowledge in the biological sciences
200499 - Public health (excl. specific population health) not elsewhere classified

- Specify coverage

Specify spatial or temporal setting of the data

Temporal (time) coverage

Start Date 2022/08/01

End Date 2023/07/31

Time Period

Spatial (location) coverage

Locations

Ujung Bandar village, North Sumatra, Indonesia

- Data

Data Locations

Type	Location	Notes
Attachment	LEU01_Results_Total.csv
Attachment	GPS_locations_raw.csv
Attachment	Vegetation_survey.xls
Attachment	LEU02_Results.xlsx

The Data Manager is: Thomas Burkot

College or Centre College of Public Health, Medical & Vet Sciences

Access conditions Open: free access under license

Alternative access conditions

Data record size 4 files: 1.04 MB

- Related resources

Related publications

Name Zoonotic malaria transmission and land use change in Southeast Asia: what is known about the vectors

URL https://doi.org/10.1186/s12936-022-04129-2

Notes Open Access

Name A global assessment of surveillance methods for dominant malaria vectors

URL https://doi.org/10.1038/s41598-021-94656-w

Notes Open Access

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Related data

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- License

Select or add a licence for the data

The data will be licensed under CC BY 4.0: Attribution 4.0 International

Other Licence

Statement of rights in data

Data owners

Bram Van de Straat

- Citation

Citation Van de Straat, Bram; Burkot, Thomas; Russell, Tanya; Staunton, Kyran; Grigg, Matthew (2024): Defining the risk to humans of emerging zoonotic malaria in Indonesia. James Cook University. https://doi.org/10.25903/374a-xh19