Literature DB >> 29019314

Authors' reply: Geographic resolution of surveillance data and influenza prevention in large countries.

Saverio Caini1, Wladimir J Alonso2, Clotilde El-Guerche Séblain3, François Schellevis4,1, John Paget1.   

Abstract

Keywords:  Europe; Influenza; Russian Federation; surveillance

Mesh:

Year:  2017        PMID: 29019314      PMCID: PMC5710127          DOI: 10.2807/1560-7917.ES.2017.22.40.17-00671

Source DB:  PubMed          Journal:  Euro Surveill        ISSN: 1025-496X


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To the editor: We would like to thank GY Shin and R Manuel for the attention they have given to our article. We believe that the point raised in their letter is valid and, in fact, we pointed out this important limitation in the paper ourselves. The Russian Federation has a very large population that is unevenly distributed over its vast territory, with populous cities surrounded by areas with very low population density. Because of this, we agree that representing the Russian Federation with a single geographical point (be it Moscow, as we did in our paper, Saint Petersburg, where a second National Influenza Centre (NIC) is situated, or the country centroid) is far less than optimal. The authors suggest that complex spatiotemporal patterns of influenza may exist within the Russian Federation, which could therefore “be an ITZ on its own” or even “encompass more than one ITZ”. These are sensible hypotheses that would be worth examining in detail; unfortunately, however, this is currently not possible using the FluNet database, which contains influenza surveillance data for individual countries but not for their subnational entities (e.g. administrative divisions such as the eight federal districts of the Russian Federation). Large countries may encompass areas with different seasonality of influenza epidemics (due to diversity in climates and other factors), and may therefore greatly benefit of tailored recommendations regarding the influenza vaccine composition and optimal time of administration (e.g. China [1], India [2], Brazil [3] or Mexico [4]). Accordingly, we agree with the suggestion that one should establish more than one NIC in large countries, and we believe that the World Health Organization could further assist the efforts in this area by making influenza surveillance data available at a finer geographical resolution for large countries in the world.
  4 in total

1.  Influenza seasonality goes south in the Yucatan Peninsula: The case for a different influenza vaccine calendar in this Mexican region.

Authors:  Guadalupe Ayora-Talavera; Gerardo Montalvo-Zurbia Flores; Jesus Gómez-Carballo; Refugio González-Losa; Laura Conde-Ferraez; Marylin Puerto-Solís; Irma López-Martínez; Alberto Díaz-Quiñonez; Gisela Barrera-Badillo; Rodolfo Acuna-Soto; Alicia A Livinski; Wladimir J Alonso
Journal:  Vaccine       Date:  2017-07-26       Impact factor: 3.641

2.  Seasonality of influenza in Brazil: a traveling wave from the Amazon to the subtropics.

Authors:  Wladimir J Alonso; Cécile Viboud; Lone Simonsen; Eduardo W Hirano; Luciane Z Daufenbach; Mark A Miller
Journal:  Am J Epidemiol       Date:  2007-03-16       Impact factor: 4.897

3.  Dynamics of influenza seasonality at sub-regional levels in India and implications for vaccination timing.

Authors:  Mandeep S Chadha; Varsha A Potdar; Siddhartha Saha; Parvaiz A Koul; Shobha Broor; Lalit Dar; Mamta Chawla-Sarkar; Dipankar Biswas; Palani Gunasekaran; Asha Mary Abraham; Sunanda Shrikhande; Amita Jain; Balakrishnan Anukumar; Renu B Lal; Akhilesh C Mishra
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

4.  Characterization of regional influenza seasonality patterns in China and implications for vaccination strategies: spatio-temporal modeling of surveillance data.

Authors:  Hongjie Yu; Wladimir J Alonso; Luzhao Feng; Yi Tan; Yuelong Shu; Weizhong Yang; Cécile Viboud
Journal:  PLoS Med       Date:  2013-11-19       Impact factor: 11.069

  4 in total

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