Multiple sclerosis spatial cluster in Tuscany.

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Multiple sclerosis spatial cluster in Tuscany.

Item

http://www.wikidata.org/entity/Q47654929

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年学术文章

@wuu

2017年学术文章

@zh

2017年学术文章

@zh-cn

2017年学术文章

@zh-hans

2017年学术文章

@zh-my

2017年学术文章

@zh-sg

2017年學術文章

@yue

2017年學術文章

@zh-hant

name

Multiple sclerosis spatial cluster in Tuscany.

@en

Multiple sclerosis spatial cluster in Tuscany.

@nl

type

Item

label

Multiple sclerosis spatial cluster in Tuscany.

@en

Multiple sclerosis spatial cluster in Tuscany.

@nl

prefLabel

Multiple sclerosis spatial cluster in Tuscany.

@en

Multiple sclerosis spatial cluster in Tuscany.

@nl

P1476

Multiple sclerosis spatial cluster in Tuscany.

@en

P2093

Francesco Profili

http://www.w3.org/2001/XMLSchema#string

Giuseppe Meucci

http://www.w3.org/2001/XMLSchema#string

Mario A Battaglia

http://www.w3.org/2001/XMLSchema#string

Monica Ulivelli

http://www.w3.org/2001/XMLSchema#string

Paolo Francesconi

http://www.w3.org/2001/XMLSchema#string

Pasquale Pepe

http://www.w3.org/2001/XMLSchema#string

Sabina Bartalini

http://www.w3.org/2001/XMLSchema#string

P2860

High incidence and increasing prevalence of MS in Enna (Sicily), southern Italy

Geographic disparities in chronic obstructive pulmonary disease (COPD) hospitalization among Medicare beneficiaries in the United States

Multiple sclerosis

Reliability of administrative data for the identification of Parkinson's disease cohorts.

The changing face of multiple sclerosis: Prevalence and incidence in an aging population.

Prevalence of Multiple Sclerosis in Tuscany (Central Italy): A Study Based on Validated Administrative Data.

Is Geo-Environmental Exposure a Risk Factor for Multiple Sclerosis? A Population-Based Cross-Sectional Study in South-Western Sardinia

A Bayesian approach to the multiplicity problem for significance testing with binomial data.

Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems.

Is it time for a new global classification of multiple sclerosis?

P2888

s10072-017-3120-5

P304

2183-2187

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P31

scholarly article

P356

10.1007/S10072-017-3120-5

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P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Daiana Bezzini

P577

2017-10-10T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

29019004

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