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[使用应用程序编程接口对一百万个地址进行地理编码:一种半自动多步骤程序]

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

作者信息

Mataloni Francesca, Bauleo Lisa, Badaloni Chiara, Nobile Federica, Savastano Jacopo, Noccioli Fiammetta, Salatino Chelo Greta, Balducci Maria, Cappai Giovanna, Rosa Alessandro Cesare, Asta Federica, Fusco Danilo, Michelozzi Paola, Davoli Marina

机构信息

Dipartimento di epidemiologia del Servizio sanitario regionale, Regione Lazio, ASL Roma 1, Roma.

Dipartimento di epidemiologia del Servizio sanitario regionale, Regione Lazio, ASL Roma 1, Roma;

出版信息

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

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.

摘要

目的

对拉齐奥健康信息系统中的所有居住地址进行地理编码,以获得一个地理区域数据库。

设计

使用多种工具和软件的半自动多步骤地理编码程序。

设置与参与者

2020年意大利中部拉齐奥地区常住人口的所有居住地址。

主要观察指标

超过100万个地址的居住地址地理坐标及地理编码程序的准确性水平。

结果

由于采用了特定程序,拉齐奥地区99%的居住地址已被地理编码;近94%的地址地理编码准确性良好(门牌号层面超过56%)。在罗马省,地理编码准确性良好的地址百分比更高(97.1%),而在列蒂省和弗罗西诺内省则较低(分别为82.7%和84.2%)。

结论

该方法有助于获取整个地区人口居住地址的准确地理坐标。这个数据库将对该地区的多项流行病学研究有用。

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