Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05.
<p>Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05.</p>
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , , , , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1852019288032935936 |
|---|---|
| author | Olivier Telle (279999) |
| author2 | Marc Grandadam (374165) Damien Philippon (21553829) Elodie Calvez (847546) Virginie Pommelet (6158513) Sebastien Marcombe (3257424) Josephin Béraud (21553832) Somphavanh Somlor (4723704) Marc Choisy (133679) |
| author2_role | author author author author author author author author |
| author_facet | Olivier Telle (279999) Marc Grandadam (374165) Damien Philippon (21553829) Elodie Calvez (847546) Virginie Pommelet (6158513) Sebastien Marcombe (3257424) Josephin Béraud (21553832) Somphavanh Somlor (4723704) Marc Choisy (133679) |
| author_role | author |
| dc.creator.none.fl_str_mv | Olivier Telle (279999) Marc Grandadam (374165) Damien Philippon (21553829) Elodie Calvez (847546) Virginie Pommelet (6158513) Sebastien Marcombe (3257424) Josephin Béraud (21553832) Somphavanh Somlor (4723704) Marc Choisy (133679) |
| dc.date.none.fl_str_mv | 2025-06-16T17:45:41Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pntd.0011990.t003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Results_of_the_uni-variable_negative_binomial_regressions_A_Built-up_and_centrality_categories_and_their_interaction_B_Population_and_household_asset_C_Centrality_profile_D_Migration_variables_log_of_population_as_offset_p-value_below_0_05_/29332502 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biotechnology Ecology Cancer Science Policy Infectious Diseases Environmental Sciences not elsewhere classified recently urbanised areas rapidly expanding cities public health surveillance piped water emerged newly urbanised areas meta &# 8217 house water access borne disease transmitted refine risk models urban southeast asia study integrates high biological factors alone highest dengue incidence higher dengue incidence examine dengue incidence mitigate dengue risk relative influence fluctuated integrating urban planning dengue 4 </ shaping transmission dynamics dengue risk urban centrality study underscores protective factors epidemiological dynamics aedes </ dengue transmission dengue fever xlink "> widely recognised villages hosting urbanisation planning urban built structural characteristics spatiotemporal approach serotype changes results suggest protective factor mobility analysis migration patterns longstanding presence limited research larger proportion infrastructure quality human mobility housing census households without future research foreign residents findings reveal |
| dc.title.none.fl_str_mv | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_da366e37f2a91b2fa07ae8a23072ed51 |
| identifier_str_mv | 10.1371/journal.pntd.0011990.t003 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29332502 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05.Olivier Telle (279999)Marc Grandadam (374165)Damien Philippon (21553829)Elodie Calvez (847546)Virginie Pommelet (6158513)Sebastien Marcombe (3257424)Josephin Béraud (21553832)Somphavanh Somlor (4723704)Marc Choisy (133679)BiotechnologyEcologyCancerScience PolicyInfectious DiseasesEnvironmental Sciences not elsewhere classifiedrecently urbanised areasrapidly expanding citiespublic health surveillancepiped water emergednewly urbanised areasmeta &# 8217house water accessborne disease transmittedrefine risk modelsurban southeast asiastudy integrates highbiological factors alonehighest dengue incidencehigher dengue incidenceexamine dengue incidencemitigate dengue riskrelative influence fluctuatedintegrating urban planningdengue 4 </shaping transmission dynamicsdengue riskurban centralitystudy underscoresprotective factorsepidemiological dynamicsaedes </dengue transmissiondengue feverxlink ">widely recognisedvillages hostingurbanisation planningurban builtstructural characteristicsspatiotemporal approachserotype changesresults suggestprotective factormobility analysismigration patternslongstanding presencelimited researchlarger proportioninfrastructure qualityhuman mobilityhousing censushouseholds withoutfuture researchforeign residentsfindings reveal<p>Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05.</p>2025-06-16T17:45:41ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pntd.0011990.t003https://figshare.com/articles/dataset/Results_of_the_uni-variable_negative_binomial_regressions_A_Built-up_and_centrality_categories_and_their_interaction_B_Population_and_household_asset_C_Centrality_profile_D_Migration_variables_log_of_population_as_offset_p-value_below_0_05_/29332502CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/293325022025-06-16T17:45:41Z |
| spellingShingle | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. Olivier Telle (279999) Biotechnology Ecology Cancer Science Policy Infectious Diseases Environmental Sciences not elsewhere classified recently urbanised areas rapidly expanding cities public health surveillance piped water emerged newly urbanised areas meta &# 8217 house water access borne disease transmitted refine risk models urban southeast asia study integrates high biological factors alone highest dengue incidence higher dengue incidence examine dengue incidence mitigate dengue risk relative influence fluctuated integrating urban planning dengue 4 </ shaping transmission dynamics dengue risk urban centrality study underscores protective factors epidemiological dynamics aedes </ dengue transmission dengue fever xlink "> widely recognised villages hosting urbanisation planning urban built structural characteristics spatiotemporal approach serotype changes results suggest protective factor mobility analysis migration patterns longstanding presence limited research larger proportion infrastructure quality human mobility housing census households without future research foreign residents findings reveal |
| status_str | publishedVersion |
| title | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| title_full | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| title_fullStr | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| title_full_unstemmed | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| title_short | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| title_sort | Results of the uni-variable negative binomial regressions: A) Built-up and centrality categories and their interaction. B) Population and household asset. C) Centrality profile. D) Migration variables. log of population as offset. * = p-value below 0.05. |
| topic | Biotechnology Ecology Cancer Science Policy Infectious Diseases Environmental Sciences not elsewhere classified recently urbanised areas rapidly expanding cities public health surveillance piped water emerged newly urbanised areas meta &# 8217 house water access borne disease transmitted refine risk models urban southeast asia study integrates high biological factors alone highest dengue incidence higher dengue incidence examine dengue incidence mitigate dengue risk relative influence fluctuated integrating urban planning dengue 4 </ shaping transmission dynamics dengue risk urban centrality study underscores protective factors epidemiological dynamics aedes </ dengue transmission dengue fever xlink "> widely recognised villages hosting urbanisation planning urban built structural characteristics spatiotemporal approach serotype changes results suggest protective factor mobility analysis migration patterns longstanding presence limited research larger proportion infrastructure quality human mobility housing census households without future research foreign residents findings reveal |