Identification

Title

Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019

Abstract

The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding. The dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596). These data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty. Full details about this dataset can be found at https://doi.org/10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c

Resource type

dataset

Resource locator

https://catalogue.ceh.ac.uk/datastore/eidchub/93bb37c6-ef86-4386-945d-c1a3d1e2683c

description: Download a copy of this data

function: download

https://data-package.ceh.ac.uk/sd/93bb37c6-ef86-4386-945d-c1a3d1e2683c.zip

description: Supporting information available to assist in re-use of this dataset

function: information

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/93bb37c6-ef86-4386-945d-c1a3d1e2683c

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

GDA2020/SA Lambert

Classification of spatial data and services

Topic category

biota

health

Keywords

Keyword set

keyword value

Species Distribution

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Geographic location

West bounding longitude

136.492

East bounding longitude

154.334

North bounding latitude

-8.836

South bounding latitude

-44.335

Temporal reference

Temporal extent

Begin position

2008-01-01

End position

2019-12-31

Dataset reference date

date type

publication

effective date

2025-03-03

Frequency of update

Quality and validity

Lineage

Each of the data objects (1,000 per component model) is related to training a component model using data sampled with replacement. These data objects are trained on field observations of host conditions (food shortage, rehabilitation admissions or formation of new roost) or locations and occupation of roost by black flying foxes (key Hendra virus host). Model parameters, predictor variables, and training are all described in the supplementary information. Each iteration only differs slightly in the training and testing data due to this resampling with replacement, allowing for slight variation in prediction among the runs.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

TIFF

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

If you reuse this data, you should cite: Kramer, A.M., Faust, C.L., Castellanos, A.A., Fischhoff, I.R., Peel, A.J., Eby, P., Ruiz-Aravena, M., Borremans, B., Plowright, R.K., Han, B.A. (2025). Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c

Responsible organisations

Responsible party

organisation name

email address

amkramer@usf.edu

web address

https://orcid.org/0000-0002-9031-6580

description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.

function: information