[Geocoding one million of addresses using API: a semiautomatic multistep procedure]

Epidemiol Prev. 2022 May-Jun;46(3):160-167. doi: 10.19191/EP22.3.A463.031.
[Article in Italian]

Abstract

Objectives: to geocode all residence addresses from Lazio Health Information System in order to obtain a geographical regional database.

Design: a semiautomatic and multistep geocoding procedure using several tools and software.

Setting and participants: all residence addresses of resident population of Lazio Region (Central Italy) in 2020.

Main outcome measures: geographic coordinates at residence addresses and accuracy level of geocoding procedure for more than 1 million of addresses.

Results: the 99% of residence addresses in the Lazio Region have been geocoded thanks to the purposed procedure; almost 94% of the addresses have been geocoded with a good level of accuracy (more than 56% at civic number level). In the province of Rome, the percentage of addresses geocoded with a good level of accuracy is higher (97.1%), while in the province of Rieti and Frosinone is lower (82.7% and 84.2%, respectively).

Conclusions: this method is useful to obtain accurate geographic coordinates of residences of the entire regional population. This database will be useful for several epidemiological studies in the Region.

Keywords: API Bing Maps; API Google Maps; GIS; geocoding; georeferencing.

MeSH terms

  • Databases, Factual
  • Epidemiologic Studies
  • Geographic Information Systems*
  • Geographic Mapping*
  • Humans
  • Italy