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Spatial distribution of low birthweight infants in Taubaté, São Paulo, Brazil
Luiz Fernando C Nascimento1, Thais Moreira Costa1, Maria Stella A da C Zöllner1
1Unitau, TaubatéSP, Brasil.
Insights
Spatial analysis revealed that low birth weight infants in Taubaté, Brazil, are concentrated in specific areas. This study identified high-priority census tracts for targeted public health interventions to reduce infant low birth weight (LBW).
Area of Science:
- Public Health
- Spatial Epidemiology
- Biostatistics
Background:
- Low birth weight (LBW) is a significant global health concern, associated with increased infant mortality and morbidity.
- Understanding the spatial distribution of LBW is crucial for effective public health interventions and resource allocation.
Purpose of the Study:
- To identify the spatial patterns of low birth weight (LBW) infants in Taubaté, São Paulo, Brazil.
- To pinpoint specific geographic areas requiring targeted health interventions.
Main Methods:
- Ecological and exploratory study using birth certificate data from 2006-2010.
- Spatial analysis employing the Global Moran Index (I(M)) and thematic mapping.
- Identification of high-priority census tracts based on LBW distribution and health center locations.
Main Results:
- 1,817 (9.6%) of 18,915 live births were classified as low birth weight (LBW).
- Spatial analysis indicated a significant clustering of LBW infants (I(M) = 0.12, p<0.01).
- Eleven census tracts, primarily in the city's outskirts, were identified as high priority for intervention.
Conclusions:
- Spatial analysis effectively mapped the distribution of low birth weight (LBW) infants.
- The study identified specific high-priority areas for public health interventions to address LBW.
Objective:
To identify the spatial pattern of low birth weight infants in the city of Taubaté, São Paulo, Southeast Brazil.
Methods:
Ecological and exploratory study, developed with the data acquired from the Health Department of Taubaté, regarding the period from January 1(st) 2006 and December 31(st) 2010. Birth certificates were used to obtain the data from infants weighing less than 2500g. A digital basis of census tracts was applied and the Global Moran index ((IM)) was estimated. Thematic maps were built for the distribution of low birth weight, health centers and tracts, according to the priority care (Moran map). The adopted statistical significance was α=5% and TerraView software conducted the spatial analysis.
Results:
There were 18,915 live births during the study period, with 1,817 low birth weight infants (9.6%). The low birth weight infants' prevalence during the period ranged from 9.3 to 9.8%. A total of 1,185 infants with known addresses, compatible with the digital base (65.2% of low birth weight infants), were included. The I(M) for low birth weight was 0.12, with p<0.01; regarding the health centers distribution, I(M) was -0.07, with p=0.01. The Moran map identified 11 census tracts with high priority for intervention by health managers, located in the outskirts of the city.
Conclusions:
The spatial analysis identified the low birth weight distribution by census tracts and the sectors with a high priority for intervention.
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