6 datasets found

  1. Synthetic population for JOR

    • zenodo.org
    • explore.openaire.eu
    bin, csv, pdf, zip
    Updated Jul 16, 2024
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    Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie; Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie (2024). Synthetic population for JOR [Dataset]. http://doi.org/10.5281/zenodo.6503398
    Explore at:
    pdf, zip, csv, binAvailable download formats
    Unique identifier
    https://doi.org/10.5281/zenodo.6503398
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie; Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Synthetic populations for regions of the World (SPW) | Jordan

    Dataset information

    A synthetic population of a region as provided here, captures the people of the region with selected demographic attributes, their organization into households, their assigned activities for a day, the locations where the activities take place and thus where interactions among population members happen (e.g., spread of epidemics).

    License

    CC-BY-4.0

    Acknowledgment

    This project was supported by the National Science Foundation under the NSF RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks (PI: Madhav Marathe, Co-PIs: Henning Mortveit, Srinivasan Venkatramanan; Fund Number: OAC-2027541).

    Contact information

    Henning.Mortveit@virginia.edu

    Identifiers

    Region nameJordan
    Region IDjor
    Modelcoarse
    Version0_9_0

    Statistics

    NameValue
    Population5723567.0
    Average age23.5
    Households1235755.0
    Average household size4.6
    Residence locations1235755.0
    Activity locations131978.0
    Average number of activities6.4
    Average travel distance44.5

    Sources

    DescriptionNameVersionUrl
    Activity template dataWorld Bank2021https://data.worldbank.org
    Administrative boundariesADCW7.6https://www.adci.com/adc-worldmap
    Curated POIs based on OSMSLIPO/OSM POIshttp://slipo.eu/?p=1551 https://www.openstreetmap.org/
    Household dataDHShttps://dhsprogram.com
    Population count with demographic attributesGPWv4.11https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11

    Files description

    Base data files (jor_data_v_0_9.zip)

    FilenameDescription
    jor_person_v_0_9.csvData for each person including attributes such as age, gender, and household ID.
    jor_household_v_0_9.csvData at household level.
    jor_residence_locations_v_0_9.csvData about residence locations
    jor_activity_locations_v_0_9.csvData about activity locations, including what activity types are supported at these locations
    jor_activity_location_assignment_v_0_9.csvFor each person and for each of their activities, this file specifies the location where the activity takes place

    Derived data files

    FilenameDescription
    jor_contact_matrix_v_0_9.csvA POLYMOD-type contact matrix constructed from a network representation of the location assignment data and a within-location contact model.

    Validation and measures files

    FilenameDescription
    jor_household_grouping_validation_v_0_9.pdfValidation plots for household construction
    jor_activity_durations_{adult,child}_v_0_9.pdfComparison of time spent on generated activities with survey data
    jor_activity_patterns_{adult,child}_v_0_9.pdfComparison of generated activity patterns by the time of day with survey data
    jor_location_construction_0_9.pdfValidation plots for location construction
    jor_location_assignement_0_9.pdfValidation plots for location assignment, including travel distribution plots
    jor_jor_ver_0_9_0_avg_travel_distance.pdfChoropleth map visualizing average travel distance
    jor_jor_ver_0_9_0_travel_distr_combined.pdfTravel distance distribution
    jor_jor_ver_0_9_0_num_activity_loc.pdfChoropleth map visualizing number of activity locations
    jor_jor_ver_0_9_0_avg_age.pdfChoropleth map visualizing average age
    jor_jor_ver_0_9_0_pop_density_per_sqkm.pdfChoropleth map visualizing population density
    jor_jor_ver_0_9_0_pop_size.pdfChoropleth map visualizing population size

  2. Pairwise comparison matrix of the analytical hierarchy process (AHP) for the...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens (2023). Pairwise comparison matrix of the analytical hierarchy process (AHP) for the predictors associated with the occurrence of Psammomys obesus in Jordan. [Dataset]. http://doi.org/10.1371/journal.pntd.0008852.t007
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pntd.0008852.t007
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Jordan
    Description

    Based on the first author’s subjective judgement constructed from published literature.

  3. f

    Climate data validation variables.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens (2023). Climate data validation variables. [Dataset]. http://doi.org/10.1371/journal.pntd.0008852.t003
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pntd.0008852.t003
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Description of climate variables, number of weather stations, and years for which data were acquired from the Jordan Meteorological Department.

  4. Sensitivity analysis results.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens (2023). Sensitivity analysis results. [Dataset]. http://doi.org/10.1371/journal.pntd.0008852.t009
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pntd.0008852.t009
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Mean change in values (n = 96) between original multicriteria decision analysis outputs compared to new maps with either equal weights for all predictor variables, or assuming linear membership functions for all predictor variables.

  5. f

    Georeferenced data sources and manipulations for predictor variables.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens (2023). Georeferenced data sources and manipulations for predictor variables. [Dataset]. http://doi.org/10.1371/journal.pntd.0008852.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pntd.0008852.t002
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Georeferenced data sources and manipulations for predictor variables.

  6. f

    Climate data validation results.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens (2023). Climate data validation results. [Dataset]. http://doi.org/10.1371/journal.pntd.0008852.t008
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pntd.0008852.t008
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Emi A. Takahashi; Lina Masoud; Rami Mukbel; Javier Guitian; Kim B. Stevens
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    R2 values derived from the simple linear regression analysis between weather station climate data recordings and modelled climate data using historical recordings. Overall, R2 values were higher for the warmer months of the year (April-September).

  7. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie; Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie (2024). Synthetic population for JOR [Dataset]. http://doi.org/10.5281/zenodo.6503398
Organization logo

Synthetic population for JOR

Explore at:
pdf, zip, csv, binAvailable download formats
Unique identifier
https://doi.org/10.5281/zenodo.6503398
Dataset updated
Jul 16, 2024
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie; Abhijin Adiga; Hannah Baek; Stephen Eubank; Przemyslaw Porebski; Madhav Marathe; Henning Mortveit; Samarth Swarup; Mandy Wilson; Dawen Xie
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Synthetic populations for regions of the World (SPW) | Jordan

Dataset information

A synthetic population of a region as provided here, captures the people of the region with selected demographic attributes, their organization into households, their assigned activities for a day, the locations where the activities take place and thus where interactions among population members happen (e.g., spread of epidemics).

License

CC-BY-4.0

Acknowledgment

This project was supported by the National Science Foundation under the NSF RAPID: COVID-19 Response Support: Building Synthetic Multi-scale Networks (PI: Madhav Marathe, Co-PIs: Henning Mortveit, Srinivasan Venkatramanan; Fund Number: OAC-2027541).

Contact information

Henning.Mortveit@virginia.edu

Identifiers

Region nameJordan
Region IDjor
Modelcoarse
Version0_9_0

Statistics

NameValue
Population5723567.0
Average age23.5
Households1235755.0
Average household size4.6
Residence locations1235755.0
Activity locations131978.0
Average number of activities6.4
Average travel distance44.5

Sources

DescriptionNameVersionUrl
Activity template dataWorld Bank2021https://data.worldbank.org
Administrative boundariesADCW7.6https://www.adci.com/adc-worldmap
Curated POIs based on OSMSLIPO/OSM POIshttp://slipo.eu/?p=1551 https://www.openstreetmap.org/
Household dataDHShttps://dhsprogram.com
Population count with demographic attributesGPWv4.11https://sedac.ciesin.columbia.edu/data/set/gpw-v4-admin-unit-center-points-population-estimates-rev11

Files description

Base data files (jor_data_v_0_9.zip)

FilenameDescription
jor_person_v_0_9.csvData for each person including attributes such as age, gender, and household ID.
jor_household_v_0_9.csvData at household level.
jor_residence_locations_v_0_9.csvData about residence locations
jor_activity_locations_v_0_9.csvData about activity locations, including what activity types are supported at these locations
jor_activity_location_assignment_v_0_9.csvFor each person and for each of their activities, this file specifies the location where the activity takes place

Derived data files

FilenameDescription
jor_contact_matrix_v_0_9.csvA POLYMOD-type contact matrix constructed from a network representation of the location assignment data and a within-location contact model.

Validation and measures files

FilenameDescription
jor_household_grouping_validation_v_0_9.pdfValidation plots for household construction
jor_activity_durations_{adult,child}_v_0_9.pdfComparison of time spent on generated activities with survey data
jor_activity_patterns_{adult,child}_v_0_9.pdfComparison of generated activity patterns by the time of day with survey data
jor_location_construction_0_9.pdfValidation plots for location construction
jor_location_assignement_0_9.pdfValidation plots for location assignment, including travel distribution plots
jor_jor_ver_0_9_0_avg_travel_distance.pdfChoropleth map visualizing average travel distance
jor_jor_ver_0_9_0_travel_distr_combined.pdfTravel distance distribution
jor_jor_ver_0_9_0_num_activity_loc.pdfChoropleth map visualizing number of activity locations
jor_jor_ver_0_9_0_avg_age.pdfChoropleth map visualizing average age
jor_jor_ver_0_9_0_pop_density_per_sqkm.pdfChoropleth map visualizing population density
jor_jor_ver_0_9_0_pop_size.pdfChoropleth map visualizing population size

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