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Application of space-time disease clustering by administrative databases in Italy: Adverse Reproductive Outcomes (AROs) and residential exposure

Overview of attention for article published in Population Health Metrics, December 2015
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Title
Application of space-time disease clustering by administrative databases in Italy: Adverse Reproductive Outcomes (AROs) and residential exposure
Published in
Population Health Metrics, December 2015
DOI 10.1186/s12963-015-0070-0
Pubmed ID
Authors

Pamela Barbadoro, Massimo Agostini, Marcello M. D’Errico, Francesco Di Stanislao, Fabio Filippetti, Sara Giuliani, Emilia Prospero

Abstract

The aims of this study were to estimate the existence of clusters of AROs in the municipalities of the Marches Region (Central Italy) after complaints from residents living near an abandoned landfill site. Cases of AROs (i.e., congenital malformation, chromosomal abnormalities, and low birth weight) were retrieved from hospital discharge data. SaTScan and GeoDa were used to check for the presence of clusters at a regional and a small area level. Moreover, at a small area/neighborhood level, smoothed rates were calculated, and a case-control approach was used to assess the residence in proximity to the abandoned landfill as an independent risk factor for AROs. AROs were associated with the price per square meter of the accommodations in the area of residence (OR 2.53, 95 % CI 2.06-3.10). On the other hand, residence within one kilometer of the landfill (OR 0.04, 95 % CI 0.01-0.23) and maternal age greater than 35 years (OR 0.96, 95 % CI 0.92-0.99) were protective. Residency in proximity to the abandoned landfill was not a risk factor for the occurrence of AROs. The results show that basic information, such as the price of accommodations in different neighborhoods, could be of interest in order to target training programs for women living in difficult conditions and highlights the potential role of the building environment in perinatal health. However, we note that aside from the data provided by Geographic Information Systems in public health, collection of the patient's residential address was unreliable for selected conditions. Future efforts should emphasize the patient's residential address as information important for evaluating the health of individuals instead of being merely administrative data.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 23%
Student > Ph. D. Student 5 19%
Lecturer 2 8%
Researcher 2 8%
Unspecified 2 8%
Other 4 15%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 6 23%
Environmental Science 2 8%
Nursing and Health Professions 2 8%
Unspecified 2 8%
Engineering 2 8%
Other 4 15%
Unknown 8 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 December 2015.
All research outputs
#9,073,489
of 11,333,579 outputs
Outputs from Population Health Metrics
#215
of 263 outputs
Outputs of similar age
#221,940
of 325,329 outputs
Outputs of similar age from Population Health Metrics
#7
of 8 outputs
Altmetric has tracked 11,333,579 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 263 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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