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Cited by 256

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Measles Elimination in the Americas: Evolving Strategies

de Quadros, Ciro A.·1996·JAMA

Abstract

The strategy currently used to control measles in most countries has been to immunize each successive birth cohort through the routine health services delivery system. While measles vaccine coverage has increased markedly, significant measles outbreaks have continued to recur. During the past 5 years, experience in the Americas suggests that measles transmission has been interrupted in a number of countries (Cuba, Chile, and countries in the English-speaking Caribbean and successfully controlled in all remaining countries. Since 1991 these countries have implemented one-time "catch-up" vaccination campaigns (conducted during a short period, usually 1 week to 1 month, and targeting all children 9 months through 14 years of age, regardless of previous vaccination status or measles disease history). These campaigns have been followed by improvements in routine vaccination services and in surveillance systems, so that the progress of the measles elimination efforts can be sustained and monitored. Follow-up mass vaccination campaigns for children younger than 5 years are planned to take place every 3 to 5 years.

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Crossref · 10.1001/jama.1996.03530270064033

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Metadata

Authors
de Quadros, C. A.
Venue
JAMA
Published
1996-01-17
Volume
275
Issue
3
Pages
224
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
OpenAlex
W2136944310
Cited by
256
References
1
FWCI
22.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Measles Elimination in the Americas: Evolving Strategies. https://app.cochat.ai/papers/10.1001/jama.1996.03530270064033
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de Quadros, C. A. (1996). Measles Elimination in the Americas: Evolving Strategies. JAMA. https://doi.org/10.1001/jama.1996.03530270064033

Data sources

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.