TY  - JOUR
AU  - Lima, Yuri
AU  - Pinheiro, Wallace
AU  - Barbosa, Carlos Eduardo
AU  - Magalhães, Matheus
AU  - Chaves, Miriam
AU  - de Souza, Jano Moreira
AU  - Rodrigues, Sérgio
AU  - Xexéo, Geraldo
PY  - 2021
DA  - 2021/5/10
TI  - Development of an Index for the Inspection of Aedes aegypti Breeding Sites in Brazil: Multi-criteria Analysis
JO  - JMIR Public Health Surveill
SP  - e19502
VL  - 7
IS  - 5
KW  - multi-criteria analysis
KW  - public health
KW  - human sensors
KW  - vector surveillance
KW  - tropical diseases
AB  - Background: Aedes aegypti is a vector for the transmission of diseases such as dengue fever, chikungunya, Zika fever, and yellow fever. In 2016, over 1 million cases of these diseases were reported in Brazil, which is an alarming public health issue. One of the ways of controlling this disease is by inspecting and neutralizing the places where A. aegypti lays its eggs. The Ministry of Planning, Development, and Administration of Brazil maintains the inspection statistics. Objective: We propose a multi-criteria analysis to create an index for A. aegypti inspections reported through the Ministry of Planning, Development, and Administration system of Brazil. Methods: Based on the repository from urban cleaning services combined with data on inspections conducted by government agencies in several Brazilian cities and municipalities, we selected and combined metrics, which we further ranked using the analytic hierarchy process methodology. We also developed risk maps based on the analytic hierarchy process ranking of the A. aegypti breeding sites. Results: Based on our analysis and the available data, the priority for inspections should consider the number of sick people (weight 0.350), medical evaluations (weight 0.239), inspections (weight 0.201), mosquito breeding sites (weight 0.126), and days of absence from work (weight 0.096). Conclusions: The proposed index could aid public health practitioners in preventing the appearance of new A. aegypti breeding sites. This information technology application can help solve such public health challenges. 
SN  - 2369-2960
UR  - https://publichealth.jmir.org/2021/5/e19502
UR  - https://doi.org/10.2196/19502
UR  - http://www.ncbi.nlm.nih.gov/pubmed/33970118
DO  - 10.2196/19502
ID  - info:doi/10.2196/19502
ER  -