| Literature DB >> 26701079 |
Lizette Olga Durand1, Po-Yung Cheng1, Rakhee Palekar2, Wilfrido Clara1, Jorge Jara3, Mauricio Cerpa2, Nathalie El Omeiri2, Alba Maria Ropero-Alvarez2, Juliana Barbosa Ramirez4, Jenny Lara Araya5, Belsy Acosta6, Alfredo Bruno7, Celina Calderon de Lozano8, Leticia Del Carmen Castillo Signor9, Maria Luisa Matute10, Sandra Jackson-Betty11, Kam Suan Mung12, José Alberto Díaz-Quiñonez13, Irma López-Martinez13, Angel Balmaseda14, Brechla Morneo Arévalo15, Cynthia Vazquez16, Victoria Gutierrez17, Rebecca Garten1, Marc-Alain Widdowson1, Eduardo Azziz-Baumgartner1.
Abstract
BACKGROUND: Influenza-associated illness results in increased morbidity and mortality in the Americas. These effects can be mitigated with an appropriately chosen and timed influenza vaccination campaign. To provide guidance in choosing the most suitable vaccine formulation and timing of administration, it is necessary to understand the timing of influenza seasonal epidemics.Entities:
Keywords: Influenza; surveillence; vaccine
Mesh:
Substances:
Year: 2016 PMID: 26701079 PMCID: PMC4814866 DOI: 10.1111/irv.12371
Source DB: PubMed Journal: Influenza Other Respir Viruses ISSN: 1750-2640 Impact factor: 4.380
Influenza activity in the American tropics, 2002–2014
| Country | Average samples tested/year | Years with >1 epidemic (%) years of data | Median start (95% CI) of April–September epidemics | Median length (95% CI) of April–September epidemics | Influenza activity during April–September (%) | Median start (95% CI) of October–March epidemics | Median length (95% CI) of October–March epidemics | Influenza activity during October–March (%) |
|---|---|---|---|---|---|---|---|---|
| Bolivia | 5619 | 0 (0) 4 | May (May–May) | 6 (5–7) | 66 | NA | NA | 34 |
| Brazil | 6404 | 0 (0) 10 | March (Jan–Apr) | 5 (3–7) | 79 | NA | NA | 21 |
| Colombia | 4288 | 10 (100) 10 | April (Mar–Apr) | 4 (4–6) | 63 | December (Dec–Dec) | 2 (2–4) | 37 |
| Costa Rica | 2018 | 10 (100) 10 | June (Jun–Jun) | 4 (2–8) | 48 | November (Jun–Nov) | 2 (2–2) | 53 |
| Cuba | 4216 | 0 (0) 4 | May (Apr–Jun) | 5 (3–6) | 55 | NA | NA | 45 |
| Dominican Republic | 1049 | 4 (100) 4 | June (Jun–Jun) | 2 (2–8) | 47 | September (Jun–Nov) | 4 (2–8) | 53 |
| Ecuador | 10 375 | 4 (100) 4 | July (Jul–Jul) | 3 (3–3) | 52 | December (Dec–Dec) | 3 (2–4) | 48 |
| El Salvador | 1449 | 8 (100) 8 | May (Apr–May) | 3 (3–9) | 78 | NA | NA | 22 |
| Guatemala | 1647 | 0 (0) 8 | NA | NA | 46 | January (Jan–Jan) | 6 (4–11) | 54 |
| Honduras | 1411 | 0 (0) 5 | July (May–Aug) | 6 (4–8) | 53 | NA | NA | 47 |
| Jamaica | 466 | 4 (100) 4 | NA | NA | 30 | October (Sep–Oct) | 3 (2–11) | 60 |
| Mexico | 3270 | 0 (0) 4 | NA | NA | 25 | November (Nov–Dec) | 5 (4–7) | 75 |
| Nicaragua | 4498 | 0 (0) 5 | June (Jun–Jun) | 6 (6–6) | 51 | NA | NA | 49 |
| Panama | 1739 | 0 (0) 5 | May (Apr–May) | 5 (5–9) | 89 | NA | NA | 11 |
| Paraguay | 7532 | 7 (100) 7 | June (Jun–Jun) | 3 (3–8) | 72 | November (Nov–Dec) | 3 (2–8) | 28 |
| Peru | 3277 | 0 (0) 9 | May (Jan–Jun) | 6 (4–10) | 76 | NA | NA | 24 |
| Total | 3704 | 47 (47) 101 | May (Apr–Jun) | 4 (3–7) | 58 | November (Oct–Dec) | 4 (2–7) | 41 |
NA = not applicable because there was no consistently identified epidemic during that time of the year.
Not every country had a secondary influenza epidemic season, every year. To calculate the length of this season, we only accounted for those years that had a secondary influenza season lasting at least 2 months.
Influenza activity from April–September and October–March is based on the proportion of samples tested during that time period.
Since the September epidemic period extended through December, it was assigned to the October–March period.
The modeled El Salvador epidemic period dipped just below the median in August and then continued for 2 months. The primary season was extended to include the additional months.
Jamaica had a short 3‐month season during February–April.
We only analyzed Mexico data south of the Tropic of Cancer.
Figure 1Modeled binominal yearly predicted influenza activity in the American tropics*†‡. *Y‐axis indicates predicted proportion of respiratory samples that tested positive for influenza. †Red portion of date line indicates the epidemic period. Light red line is the median. ‡Study‐years for each country are as follows: Bolivia, Cuba, Dominican Republic, Ecuador, and Jamaica 2011–2014; Mexico (tropic region) 2011–2014; Brazil and Costa Rica 2003–2008 and 2011–2014; Colombia 2002–2007 and 2011–2014; Guatemala 2002, 2006–2008, and 2011–2014; El Salvador 2005–2008 and 2011–2014; Honduras, Nicaragua, and Panama 2008 and 2011–2014; Paraguay 2003–2005 and 2011–2014; and Peru 2004–2008 and 2011–2014.
Predominant antigenic characterization of influenza strain compared with vaccine formulation during 2002–2008, 2011–2014
| Country | Years of available data | Years predominant strain represented in | |
|---|---|---|---|
| Southern Hemisphere vaccine, % | Northern Hemisphere vaccine, % | ||
| Bolivia | 2 | 100 | 50 |
| Brazil | 12 | 75 | 50 |
| Colombia | 1 | 100 | 0 |
| Costa Rica | 8 | 50 | 50 |
| Dominican Republic | 2 | 100 | 100 |
| Ecuador | 1 | 100 | 100 |
| El Salvador | 9 | 56 | 44 |
| Guatemala | 7 | 57 | 43 |
| Honduras | 7 | 43 | 57 |
| Jamaica | 1 | 100 | 100 |
| Nicaragua | 7 | 57 | 57 |
| Panama | 9 | 44 | 44 |
| Paraguay | 9 | 89 | 67 |
| Peru | 3 | 100 | 67 |
| Total | 78 | 65 | 54 |
The predominant strain each year could be included in both Northern and Southern Hemisphere formulation vaccine recommendations.
Figure 2Current and proposed influenza vaccine formulation type for the American tropics.