Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.

<p>Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.</p>

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Main Author: Mariane Branco Alves (21213504) (author)
Other Authors: Rafael Santos Erbisti (21213507) (author), Aline Araújo Nobre (15310417) (author), Taynãna César Simões (8468688) (author), Alessandre de Medeiros Tavares (9667361) (author), Márcia Cristina Melo (21213510) (author), Rodrigo Moreira Pedreira (21213513) (author), Jan Pierre Martins de Araújo (21213516) (author), Marilia Sá Carvalho (9382230) (author), Nildimar Alves Honório (10833317) (author)
Published: 2025
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_version_ 1852020914528452608
author Mariane Branco Alves (21213504)
author2 Rafael Santos Erbisti (21213507)
Aline Araújo Nobre (15310417)
Taynãna César Simões (8468688)
Alessandre de Medeiros Tavares (9667361)
Márcia Cristina Melo (21213510)
Rodrigo Moreira Pedreira (21213513)
Jan Pierre Martins de Araújo (21213516)
Marilia Sá Carvalho (9382230)
Nildimar Alves Honório (10833317)
author2_role author
author
author
author
author
author
author
author
author
author_facet Mariane Branco Alves (21213504)
Rafael Santos Erbisti (21213507)
Aline Araújo Nobre (15310417)
Taynãna César Simões (8468688)
Alessandre de Medeiros Tavares (9667361)
Márcia Cristina Melo (21213510)
Rodrigo Moreira Pedreira (21213513)
Jan Pierre Martins de Araújo (21213516)
Marilia Sá Carvalho (9382230)
Nildimar Alves Honório (10833317)
author_role author
dc.creator.none.fl_str_mv Mariane Branco Alves (21213504)
Rafael Santos Erbisti (21213507)
Aline Araújo Nobre (15310417)
Taynãna César Simões (8468688)
Alessandre de Medeiros Tavares (9667361)
Márcia Cristina Melo (21213510)
Rodrigo Moreira Pedreira (21213513)
Jan Pierre Martins de Araújo (21213516)
Marilia Sá Carvalho (9382230)
Nildimar Alves Honório (10833317)
dc.date.none.fl_str_mv 2025-04-29T18:15:57Z
dc.identifier.none.fl_str_mv 10.1371/journal.pntd.0012984.g012
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Stratification_maps_of_observed_and_predicted_dengue_case_counts_for_four_epidemiological_weeks_ahead_between_the_13th_and_16th_epidemiological_weeks_of_2018_city_of_Natal_RN_/28898190
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Medicine
Neuroscience
Biotechnology
Ecology
Cancer
Infectious Diseases
Virology
Computational Biology
Environmental Sciences not elsewhere classified
endemic northeast city
egg positivity index
consider simultaneous variability
bayesian spatiotemporal learning
subsequent four weeks
prior four weeks
next four weeks
areas consistently exhibiting
support timely interventions
optimal model revealed
arboviruses like dengue
identifying priority areas
aedes aegypti </
proposed bayesian space
egg density index
weekly risk dynamics
persistent dengue risk
forecasting dengue cases
brazil </ p
dengue occurrence probability
priority areas
aedes </
several weeks
dengue cases
transmission dynamics
predictive model
dengue occurrence
increased cases
cases across
zero periods
zero occurrences
timely identification
time provides
time analysis
temporally heterogeneous
statistical models
spatial dependence
significant rise
rio grande
remained concentrated
realistic estimates
previous week
predictors included
predictive maps
offset term
observation week
intervention focused
fitted using
expected number
epidemiological week
dc.title.none.fl_str_mv Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.</p>
eu_rights_str_mv openAccess
id Manara_431854fa080dbcc86fc6dfe18465b048
identifier_str_mv 10.1371/journal.pntd.0012984.g012
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/28898190
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.Mariane Branco Alves (21213504)Rafael Santos Erbisti (21213507)Aline Araújo Nobre (15310417)Taynãna César Simões (8468688)Alessandre de Medeiros Tavares (9667361)Márcia Cristina Melo (21213510)Rodrigo Moreira Pedreira (21213513)Jan Pierre Martins de Araújo (21213516)Marilia Sá Carvalho (9382230)Nildimar Alves Honório (10833317)MedicineNeuroscienceBiotechnologyEcologyCancerInfectious DiseasesVirologyComputational BiologyEnvironmental Sciences not elsewhere classifiedendemic northeast cityegg positivity indexconsider simultaneous variabilitybayesian spatiotemporal learningsubsequent four weeksprior four weeksnext four weeksareas consistently exhibitingsupport timely interventionsoptimal model revealedarboviruses like dengueidentifying priority areasaedes aegypti </proposed bayesian spaceegg density indexweekly risk dynamicspersistent dengue riskforecasting dengue casesbrazil </ pdengue occurrence probabilitypriority areasaedes </several weeksdengue casestransmission dynamicspredictive modeldengue occurrenceincreased casescases acrosszero periodszero occurrencestimely identificationtime providestime analysistemporally heterogeneousstatistical modelsspatial dependencesignificant riserio granderemained concentratedrealistic estimatesprevious weekpredictors includedpredictive mapsoffset termobservation weekintervention focusedfitted usingexpected numberepidemiological week<p>Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.</p>2025-04-29T18:15:57ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pntd.0012984.g012https://figshare.com/articles/figure/Stratification_maps_of_observed_and_predicted_dengue_case_counts_for_four_epidemiological_weeks_ahead_between_the_13th_and_16th_epidemiological_weeks_of_2018_city_of_Natal_RN_/28898190CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288981902025-04-29T18:15:57Z
spellingShingle Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
Mariane Branco Alves (21213504)
Medicine
Neuroscience
Biotechnology
Ecology
Cancer
Infectious Diseases
Virology
Computational Biology
Environmental Sciences not elsewhere classified
endemic northeast city
egg positivity index
consider simultaneous variability
bayesian spatiotemporal learning
subsequent four weeks
prior four weeks
next four weeks
areas consistently exhibiting
support timely interventions
optimal model revealed
arboviruses like dengue
identifying priority areas
aedes aegypti </
proposed bayesian space
egg density index
weekly risk dynamics
persistent dengue risk
forecasting dengue cases
brazil </ p
dengue occurrence probability
priority areas
aedes </
several weeks
dengue cases
transmission dynamics
predictive model
dengue occurrence
increased cases
cases across
zero periods
zero occurrences
timely identification
time provides
time analysis
temporally heterogeneous
statistical models
spatial dependence
significant rise
rio grande
remained concentrated
realistic estimates
previous week
predictors included
predictive maps
offset term
observation week
intervention focused
fitted using
expected number
epidemiological week
status_str publishedVersion
title Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
title_full Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
title_fullStr Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
title_full_unstemmed Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
title_short Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
title_sort Stratification maps of observed and predicted dengue case counts for four epidemiological weeks ahead (between the 13th and 16th epidemiological weeks of 2018), city of Natal, RN.
topic Medicine
Neuroscience
Biotechnology
Ecology
Cancer
Infectious Diseases
Virology
Computational Biology
Environmental Sciences not elsewhere classified
endemic northeast city
egg positivity index
consider simultaneous variability
bayesian spatiotemporal learning
subsequent four weeks
prior four weeks
next four weeks
areas consistently exhibiting
support timely interventions
optimal model revealed
arboviruses like dengue
identifying priority areas
aedes aegypti </
proposed bayesian space
egg density index
weekly risk dynamics
persistent dengue risk
forecasting dengue cases
brazil </ p
dengue occurrence probability
priority areas
aedes </
several weeks
dengue cases
transmission dynamics
predictive model
dengue occurrence
increased cases
cases across
zero periods
zero occurrences
timely identification
time provides
time analysis
temporally heterogeneous
statistical models
spatial dependence
significant rise
rio grande
remained concentrated
realistic estimates
previous week
predictors included
predictive maps
offset term
observation week
intervention focused
fitted using
expected number
epidemiological week