PMID- 31706302
OWN - NLM
STAT- MEDLINE
DCOM- 20200506
LR  - 20200506
IS  - 1476-072X (Electronic)
IS  - 1476-072X (Linking)
VI  - 18
IP  - 1
DP  - 2019 Nov 9
TI  - A new combination rule for Spatial Decision Support Systems for epidemiology.
PG  - 25
LID - 10.1186/s12942-019-0187-7 [doi]
LID - 25
AB  - BACKGROUND: Decision making in the health area usually involves several factors, 
      options and data. In addition, it should take into account technological, social 
      and spatial aspects, among others. Decision making methodologies need to address 
      this set of information , and there is a small group of them with focus on 
      epidemiological purposes, in particular Spatial Decision Support Systems (SDSS). 
      METHODS: Makes uses a Multiple Criteria Decision Making (MCDM) method as a 
      combining rule of results from a set of SDSS, where each one of them analyzes 
      specific aspects of a complex problem. Specifically, each geo-object of the 
      geographic region is processed, according to its own spatial information, by an 
      SDSS using spatial and non-spatial data, inferential statistics and spatial and 
      spatio-temporal analysis, which are then grouped together by a fuzzy rule-based 
      system that will produce a georeferenced map. This means that, each SDSS provides 
      an initial evaluation for each variable of the problem. The results are combined 
      by the weighted linear combination (WLC) as a criterion in a MCDM problem, 
      producing a final decision map about the priority levels for fight against a 
      disease. In fact, the WLC works as a combining rule for those initial evaluations 
      in a weighted manner, more than a MCDM, i.e., it combines those initial 
      evaluations in order to build the final decision map. RESULTS: An example of 
      using this new approach with real epidemiological data of tuberculosis in a 
      Brazilian municipality is provided. As a result, the new approach provides a 
      final map with four priority levels: "non-priority", "non-priority tendency", 
      "priority tendency" and "priority", for the fight against diseases. CONCLUSION: 
      The new approach may help public managers in the planning and direction of health 
      actions, in the reorganization of public services, especially with regard to 
      their levels of priorities.
FAU - de Lima, Luciana Moura Mendes
AU  - de Lima LMM
AUID- ORCID: 0000-0002-0370-2361
AD  - Graduate Program in Decision Models and Health, Department of Statistics, Federal 
      University of Paraiba, Joao Pessoa, Paraiba, Brazil. lumouramendes@gmail.com.
FAU - de Sa, Laisa Ribeiro
AU  - de Sa LR
AUID- ORCID: 0000-0003-2806-6178
AD  - Graduate Program in Decision Models and Health, Department of Statistics, Federal 
      University of Paraiba, Joao Pessoa, Paraiba, Brazil.
FAU - Dos Santos Macambira, Ana Flavia Uzeda
AU  - Dos Santos Macambira AFU
AUID- ORCID: 0000-0002-1590-8113
AD  - Department of Statistics, Federal University of Paraiba, Joao Pessoa, Paraiba, 
      Brazil.
FAU - de Almeida Nogueira, Jordana
AU  - de Almeida Nogueira J
AUID- ORCID: 0000-0002-2673-0285
AD  - Department of Nursing, Federal University of Paraiba, Joao Pessoa, Paraiba, 
      Brazil.
FAU - de Toledo Vianna, Rodrigo Pinheiro
AU  - de Toledo Vianna RP
AUID- ORCID: 0000-0002-5358-1967
AD  - Department of Nutrition, Federal University of Paraiba, Joao Pessoa, Paraiba, 
      Brazil.
FAU - de Moraes, Ronei Marcos
AU  - de Moraes RM
AUID- ORCID: 0000-0001-8436-8950
AD  - Department of Statistics, Federal University of Paraiba, Joao Pessoa, Paraiba, 
      Brazil.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20191109
PL  - England
TA  - Int J Health Geogr
JT  - International journal of health geographics
JID - 101152198
SB  - IM
MH  - Brazil/epidemiology
MH  - Cities/epidemiology
MH  - *Decision Making
MH  - Geographic Information Systems/statistics & numerical data/*trends
MH  - Humans
MH  - Tuberculosis/diagnosis/*epidemiology
PMC - PMC6842522
OTO - NOTNLM
OT  - Brazil
OT  - Epidemiology
OT  - Multiple Criteria Decision Making
OT  - Space-time analysis
OT  - Spatial Decision Support Systems
OT  - Spatial analysis
COIS- The authors declare that they have no competing interests.
EDAT- 2019/11/11 06:00
MHDA- 2020/05/07 06:00
PMCR- 2019/11/09
CRDT- 2019/11/11 06:00
PHST- 2019/08/14 00:00 [received]
PHST- 2019/10/24 00:00 [accepted]
PHST- 2019/11/11 06:00 [entrez]
PHST- 2019/11/11 06:00 [pubmed]
PHST- 2020/05/07 06:00 [medline]
PHST- 2019/11/09 00:00 [pmc-release]
AID - 10.1186/s12942-019-0187-7 [pii]
AID - 187 [pii]
AID - 10.1186/s12942-019-0187-7 [doi]
PST - epublish
SO  - Int J Health Geogr. 2019 Nov 9;18(1):25. doi: 10.1186/s12942-019-0187-7.