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    <responseDate>2026-10-12T15:50:41Z</responseDate>
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            <header>
                <identifier>oai:data.mendeley.com/v4b2w26jbc.1</identifier>
                <datestamp>2025-11-11T21:16:57Z</datestamp>
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    <dc:creator>Tripathy, Shrabani</dc:creator>
    <dc:title>Underlying Data- ILI Vulnerability Analysis for USA</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The following files have been uploaded:

1. input_wo_pm.xlsx: Contains the demographic data used as the independent variable in the RFR model [CENSUS data: https://www.census.gov/ ; CDC data: https://www.cdc.gov/fluview/ ]
2. percent_data_y_2022.csv: Contains the ILI data for the year 2022 used as the Dependent variable in the RFR model [CDC data: https://www.cdc.gov/fluview/ ]
3. state_vulnerability_index: Contains the state-wise vulnerability and normalised vulnerability computed using the Random Forest-based method. </dc:description>
    <dc:subject>Demographics</dc:subject>
    <dc:subject>Socioeconomic Factor in Health</dc:subject>
    <dc:subject>Vulnerability</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/v4b2w26jbc.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/v4b2w26jbc.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2025-11-11T21:16:57Z</dc:date>
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