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Assessment of the 2010 global measles mortality reduction goal: results from a model of surveillance data

Simons, Emily, Ferrari, Matthew, Fricks, John, Wannemuehler, Kathleen, Anand, Abhijeet, Burton, Anthony, Strebel, Peter·2012·The Lancet

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Research works printed but not linked: 20

  1. Wolfson, 2007, Has the 2005 measles mortality reduction goal been achieved? A natural history modelling study, Lancet, 369, 191, 10.1016/S0140-6736(07)60107-X · DOI · Paper page
  2. Strebel, 2011, A World Without Measles, J Infect Dis, 204, S1, 10.1093/infdis/jir111 · DOI
  3. 2011, Meeting of the Strategic Advisory Group of Experts on Immunization, November 2010—summary, conclusions and recommendations, Wkly Epidemiol Rec, 86, 1
  4. van den Ent, 2011, Measles mortality reduction contributes substantially to reduction of all cause mortality among children less than five years of age, 1990–2008, J Infect Dis, 204, S18, 10.1093/infdis/jir081 · DOI
  5. 2008, Progress in global measles control and mortality reduction, 2000–2007, Wkly Epidemiol Rec, 83, 441
  6. Otten, 2005, Public-health impact of accelerated measles control in the WHO African Region 2000–03, Lancet, 366, 832, 10.1016/S0140-6736(05)67216-9 · DOI
  7. 2011, Measles outbreaks and progress towards meeting measles pre-elimination goals: WHO African Region, 2009–2010, Wkly Epidemiol Rec, 86, 129
  8. Stein, 2003, The global burden of measles in the year 2000—a model that uses country-specific indicators, J Infect Dis, 187, S8, 10.1086/368114 · DOI
  9. Harpaz, 2004, Completeness of measles case reporting: review of estimates for the United States, J Infect Dis, 189, S185, 10.1086/378501 · DOI
  10. Breto, 2009, Time series analysis via mechanistic models, Ann Appl Stat, 3, 319, 10.1214/08-AOAS201 · DOI · Paper page
  11. Chen, 2011, Tracking measles infection through non-linear state space models, J R Stat Soc Ser C Appl Stat, 61, 117, 10.1111/j.1467-9876.2011.01001.x · DOI
  12. Ionides, 2006, Inference for nonlinear dynamical systems, Proc Natl Acad Sci USA, 103, 18438, 10.1073/pnas.0603181103 · DOI · Paper page
  13. Uzicanin, 2011, Field effectiveness of live attaenuated measles-containing vaccines: a review of published literature, J Infect Dis, 204, S133, 10.1093/infdis/jir102 · DOI · Paper page
  14. Mette, 2011, Under-reporting of measles an evaluation based on data from North Rhine-Westphalia, Dtsch Arztebl Int, 108, 191
  15. Wolfson, 2009, Estimates of measles case fatality ratios: a comprehensive review of community-based studies, Int J Epidemiol, 38, 192, 10.1093/ije/dyn224 · DOI · Paper page
  16. Joshi, 2009, Measles deaths in Nepal: estimating the national case-fatality ratio, Bull World Health Organ, 87, 456, 10.2471/BLT.07.050427 · doi:10.2471/blt.07.050427
  17. Sudfeld, 2009, Measles case fatality ratio in India: a review of community based studies, Indian Pediatr, 46, 983
  18. Black, 1962, Measles antibody prevalence in diverse populations, Am J Dis Child, 103, 242
  19. 2011, Progress in implementing measles mortality reduction strategies, India 2010–2011, Wkly Epidemiol Rec, 86, 439
  20. Morris, 2003, Predicting the distribution of under-five deaths by cause in countries without adequate vital registration systems, Int J Epidemiol, 32, 1041, 10.1093/ije/dyg241 · DOI · Paper page

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Metadata

Authors
Simons, E., Ferrari, M., Fricks, J., Wannemuehler, K., Anand, A., Burton, A., & Strebel, P.
Venue
The Lancet
Publisher
Elsevier BV
Published
2012-06
Volume
379
Issue
9832
Pages
2173-2178
ISSN
  • 0099-5355 (ISSN-L)
  • 0140-6736
OpenAlex
W2081569298
Cited by
312
References
1
FWCI
28.22
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Assessment of the 2010 global measles mortality reduction goal: results from a model of surveillance data. https://app.cochat.ai/papers/10.1016/s0140-6736(12)60522-4
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Simons, E., Ferrari, M., Fricks, J., Wannemuehler, K., Anand, A., Burton, A., & Strebel, P. (2012). Assessment of the 2010 global measles mortality reduction goal: results from a model of surveillance data. The Lancet. https://doi.org/10.1016/s0140-6736(12)60522-4

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