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oai:figshare.com:article/33975016 2026-09-23T17:24:53Z category_7 category_21 category_272 category_39 category_45 category_734 category_64 category_106 category_132 portal_5 item_type_3 month_year_09_2026

<p>Explanatory variables, their levels and reference, as considered in the statistical analysis to explain knowledge, attitudes and practices related to dengue.</p> Lucille Calmon (20405053) Alessandro De Gaetano (12038750) Mattia Mazzoli (8611455) Nicolò Gozzi (8837522) Marion Debin (457400) Clément Turbelin (28738) Romain Marmorat (25098967) Nicola Perra (211074) Alain Barrat (84818) Vittoria Colizza (84817) Daniela Paolotti (672356) Medicine Biotechnology Environmental Sciences not elsewhere classified Ecology Sociology Biological Sciences not elsewhere classified Cancer Science Policy Infectious Diseases limiting feeding opportunities italian 2024 cohorts changing climate conditions analyzed pooled responses detected autochthonous cases general population ), div >< p understanding population knowledge assessing dengue knowledge preventive measures adoption general population local cases preventive measures would accept via bias vaccination willingness vaccination status treatment available study highlights sought information significant determinants seeking information risk perception outbreak prevention ordinal regression lower knowledge increasingly established higher adoption greater adoption examined determinants europe causing enhance preparedness endemic context emerging threat effective prevention concern levels common reason better knowledge aedes </ <p>Explanatory variables, their levels and reference, as considered in the statistical analysis to explain knowledge, attitudes and practices related to dengue.</p> 2026-09-23T17:24:44Z Dataset Dataset 10.1371/journal.pgph.0007162.t001 https://figshare.com/articles/dataset/_p_Explanatory_variables_their_levels_and_reference_as_considered_in_the_statistical_analysis_to_explain_knowledge_attitudes_and_practices_related_to_dengue_p_/33975016 CC BY 4.0