Abstract
Please cite this paper as: Savy et al. (2012) Burden of influenza in Latin America and the Caribbean: a systematic review and meta‐analysis. Influenza and Other Respiratory Viruses DOI: 10.1111/irv.12036.
Objective Influenza causes severe morbidity and mortality. This systematic review aimed to assess the incidence, etiology, and resource usage for influenza in Latin America and the Caribbean.
Design Meta‐analytic systematic review. Arcsine transformations and DerSimonian Laird random effects model were used for meta‐analyses.
Setting A literature search from 1980 to 2008 in MEDLINE, Cochrane Library, EMBASE, LILACS, Ministries of Health, PAHO, proceedings, reference lists, and consulting experts.
Sample We identified 1092 references, of which 31 were finally included, in addition to influenza surveillance reports. We also used information from the 10 reports from the collaborative group for epidemiological surveillance of influenza and other respiratory virus (GROG), and information retrieved from the WHO global flu database FLUNET.
Main outcome measures Incidence, percentage of influenza specimens out of the total received by influenza centers and resource‐use outcomes.
Results A total of 483 130 specimens of patients with influenza were analyzed. Meta‐analysis showed an annual rate of 36 080 (95%CI 28 550 43 610) influenza‐like illness per 100 000 persons‐years. The percentage of influenza out of total specimens received by influenza centers ranged between 4.66% and 15.42%, with type A the most prevalent, and A subtype H3 predominating. The mean length of stay at hospital due to influenza ranged between 5.8 12.9 days, total workdays lost due to influenza‐like illnesses were 17 150 days, and the mean direct cost of hospitalization was US$575 per laboratory‐confirmed influenza case.
Conclusions Our data show that seasonal influenza imposes a high morbidity and economic burden to the region. However, the vaccine‐uptake rate has been low in this region. Population‐based cohort studies are required to improve the knowledge about incidence and resource utilization, which would inform healthcare authorities for decision making.
Keywords: Burden of disease, costs, epidemiology, influenza, influenza‐like illness, Latin America & Caribbean, use of resources
Introduction
Influenza virus is a highly contagious etiological agent that spreads rapidly and causes an acute respiratory illness, mostly characterized by sudden onset of high fever, myalgia, headache, sore throat, and inflammation. 1 , 2 It is usually self‐limited, and the patient recovers within 1 or 2 weeks. However, in some cases it may lead to serious complications such as pneumonia, bronchitis, and sometimes death, particularly in young children (6–23 months), the elderly (>65 years), and people with underlying chronic health problems. 3 , 4
The knowledge of influenza incidence by country and region is an important public health topic that helps taking measures to organize health care services during peaks of circulation. About 10–20% of the general population is usually affected during the cold season. In the United States (US), influenza‐related consultations vary from 6 to 29 per 100 children annually; 3 , 5 , 6 , 7 the rate of hospitalization in children aged <5 years varies from 500 (high‐risk) to 100 (healthy) per 100 000 children. 8 , 9 , 10 , 11 , 12 , 13 , 14 Studies conducted in the temperate regions of Europe have revealed influenza‐related hospitalization rates ranging from 11 to 237 per 100 000 children, 12 , 15 , 16 , 17 , 18 while higher rates have been reported in Hong Kong. 19 During the influenza season, H1N1 and H3N2 influenza A and influenza B viruses usually circulate according to different patterns: either two types/subtypes can circulate at the same time or sequentially, or one type/subtype can replace the previous one. These different patterns can impact with a different burden. 20 Besides, influenza A (H1N1) has emerged as a new strain responsible for the influenza pandemic in 2009, which has so far resulted in more than 182 000 laboratory‐confirmed cases and 1799 deaths in 177 countries. 21
In the region of Latin America and the Caribbean (LA&C), scarce information on influenza mortality and morbidity is available, most likely due to underreporting. 22 , 23 , 24 , 25 The poor quality of accessible data makes the estimation of the burden of disease difficult. The actual impact of influenza in LA&C is often obscured by the lack of usage of specific diagnostic methods by physicians to confirm etiology, as most reported data come from clinical diagnoses of influenza‐like illnesses (ILI). 3 This was particularly the case before the 2009 flu pandemic. The lack of laboratory confirmation in the diagnosis of co‐circulating pathogens and the occurrence of diseases clinically similar to influenza act as major barriers for estimating the true incidence.
We conducted a systematic review and meta‐analysis of the available epidemiological and virological data to assess the incidence, etiology, and use of healthcare resources in people with influenza in LA&C. The results of this analysis will help inform public health decision makers.
Methods
We performed a meta‐analysis of observational studies following guidelines the Meta‐analysis Of Observational Studies in Epidemiology (MOOSE) 26 and the Preferred Reporting Items for Systematic reviews and Meta‐Analyses (PRISMA). 27 , 28
Search strategy and selection criteria
We conducted a systematic search of the following electronic databases: Cochrane CENTRAL register and specialized register of the Cochrane Acute Respiratory Infections Group, MEDLINE, EMBASE, and LILACS, between January 1980 and September 2008 (Appendix S1). We also performed a generic and academic Internet search and meta‐search. An annotated search strategy for ‘gray literature’ was included to retrieve information from relevant sources like regional Ministries of Health, PAHO, hospital reports, databases containing regional proceedings or congresses’ annals and doctoral theses, reference lists of included studies, and consultations with expert and institutions related to the topic. Authors were contacted to obtain missing or extra information when needed. Other sources searched were SLIPE (Latin‐American Society of Pediatric Infectious Diseases) for annals and proceedings from international congresses and the World Health Organization (WHO)’s FluNet. This is a global tool for influenza virological surveillance. Data entered into FluNet are publically available. Data are provided remotely by National Influenza Centres (NICs) of the Global Influenza Surveillance and Response System (GISRS) and other national influenza reference laboratories collaborating actively with GISRS or are uploaded from WHO regional databases. 29 In the WHO Region of the Americas, the majority of specimens are from children. 30
We included the control arms of controlled trials, cohort studies, case–control studies, case series, surveillance, and cross‐sectional studies without language restriction. Systematic reviews and meta‐analyses with original data were also included for qualitative synthesis of the data. Studies were included only if at least 20 cases of ILI or laboratory‐confirmed influenza were reported. We included studies enrolling patients of any age since 1995.
We included studies in which influenza diagnosis was confirmed by viral isolation, detection of viral protein or viral RNA in nasal, throat, or respiratory tract secretion samples, rapid diagnostic tests, and seroconversion (defined as greater than fourfold increase in antibody titers in 2 weeks).
We included studies that assessed at least one of the following outcomes in the context of ILI: incidence of clinical and laboratory‐confirmed cases of influenza, mortality and pneumonia due to influenza, mixed pneumonia, secondary bacterial pneumonia, lower respiratory tract complications, exacerbations of chronic obstructive pulmonary disease, central nervous system complications, myocarditis and pericarditis, toxic shock syndrome, and influenza‐related admissions. We assessed the proportion of influenza among all specimens reported to the FluNet, proportion of type A in influenza‐positive specimens, and proportion of subtypes H1 and H3 in type A‐positive specimens. We also evaluated viral subtype etiology distribution and use of healthcare resources in terms of laboratory tests, treatment methods, absenteeism from school and work, number of physician visits, and overall impact on economy.
Selection of eligible articles and data abstraction
Two reviewers independently screened titles and abstracts of all identified citations and selected all potentially eligible studies. Full‐text versions of these articles were independently assessed by two reviewers to evaluate whether they met the inclusion criteria. Disagreements were solved by consensus in both phases. Data were abstracted using a previously piloted electronic chart.
Quality assessment of included studies
The methodological quality of all included studies was independently assessed by three reviewers (AB, AC, DG), based on the checklist of essential items stated in Strengthening the Reporting of Observational studies in Epidemiology (STROBE), 31 the results of a systematic review evaluating tools for assessing quality and susceptibility to bias in observational studies, 32 and the guidelines for appraising medical research published by Fowkes et al. 33 We used an algorithm (Appendix S2) to estimate an overall risk of bias taking into account five potential sources of bias: methods for selecting study participants, methods for measuring exposure and outcome variables, methods to control confounding, design‐specific sources of bias, and statistical methods. Disagreements were solved by consensus.
Statistical analyses
A proportion meta‐analysis was performed. We applied an arcsine transformation to stabilize the variance of proportions (Freeman–Tukey variant of the arcsine square root of transformed proportions method). 34 The pooled proportion was calculated as the back‐transformation of the weighed mean of the transformed proportions, using inverse arcsine variance weights for the fixed and random effects model. The estimates and its 95% confidence interval (CI) were calculated using the DerSimonian–Laird weights for the random effects model where heterogeneity between studies was found. 35 We calculated the I 2 statistic as a measure of the proportion of the overall variation that was attributable to between‐study heterogeneity. 36 Stats‐direct (StatsDirect Ltd, Altrincham, Cheshire, UK) and stata 9.0 (StataCorp LP, College Station, TX, USA) were used for all analyses.
We expressed incidence as the number of patients with at least one episode of influenza (ILI or laboratory confirmed) per 100 000 person, years. We calculated proportions (percentages) of total specimens remitted to influenza centers or of influenza‐positive specimens. Subgroup analyses by age and by country were performed. We used maps to represent the yearly proportion of influenza‐positive samples among total specimens analyzed and among rates reported in FluNet. When data were missing from FluNet, we complemented it with data from the Collaborative Group For Epidemiological Surveillance Of Influenza and Other Respiratory Viruses in Argentina (GROG). Cutoff points for categories were selected according to the quartiles of proportions observed for all countries in the period 1999–2008. Country proportion was represented only if the total number of samples reported for a given year for that country was ≥100. Maps also reflect the distribution of influenza types and A‐subtypes in 1999 and 2008. The distribution of influenza subtypes was reported for a particular year and country if the total number of influenza‐positive samples was ≥30. The denominator for the subtype pie charts presented in the maps is the reported number of influenza‐positive samples.
To estimate the burden of ILI in the region for year 2008—before the H1N1 influenza pandemic—we used the upper and lower limits of the 95% CI of incidence obtained from the meta‐analysis of the prospective studies reporting incidence. We also projected the total number of confirmed influenza cases and influenza A and B cases for the year 2008 applying the influenza incidence obtained from prospective studies to the countries’ populations, and pooled type proportion rates obtained from the FluNet.
Results
The study selection process is shown in Figure 1. The literature search retrieved 1092 potential articles. Of these, 95 full‐text articles, one book, 10 GROG reports for Argentina, and a database were included for detailed assessment. A total of 64 articles were excluded due to inability to meet the inclusion criteria, irrelevant information, or data duplication. Finally, 31 articles, 10 GROG reports for Argentina (1999–2008), and 75 sub‐studies from FluNet (1999–2008) were included for analyses. These sources encompassed a total of 483 130 samples from patients diagnosed with influenza or ILI. Seven studies were excluded due to duplication of information with the FluNet, 37 , 38 , 39 GROG, 40 , 41 , 42 or due to the recruitment date being prior to 1995. 43
Table 1 describes the included studies’ characteristics. Most data were from Argentina (36·6%), Brazil (22·0%), Chile (17·1%), Cuba (4·9%), and Mexico (4·9%). Most were surveillance studies (39·0%) or case series (39·0%). The majority (82·9%) of the cases reported in these studies were laboratory‐confirmed influenza, 75·6% had the influenza type reported, 58·5% were low respiratory tract infections (LRTI), and 41·5% were ILI.
Table 1.
ID (Author, reporting date) | Country | Date for recruitment | Follow‐up (m) | No influenza seasons | Design | Complexity level hospital | Setting (in/outpatient) | Cohort sample size | Median age (m) | Mean age (m) | Lower age (m) | Upper age (m) | N with ILI | Inpatients with LRTI | Confirmed influenza (N) | H1 | H3 | A (H1 + H3 + Not typed) | B | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Start | End | |||||||||||||||||||
Arg GROG 1999 62 , 106 | Argentina | Jan‐99 | Nov‐99 | 11 | 1 | Surveillance | High | Both | All ages | 16 297 | 972 | 893 | 79 | |||||||
Arg GROG 2000 63 | Argentina | Jan‐00 | Nov‐00 | 11 | 1 | Surveillance | High | Both | All ages | 21 116 | 454 | 398 | 56 | |||||||
Arg GROG 2001 64 | Argentina | Jan‐01 | Nov‐01 | 11 | 1 | Surveillance | High | Both | All ages | 796 | 20 356 | 869 | 795 | 74 | ||||||
Arg GROG 2002 65 | Argentina | Jan‐02 | Nov‐02 | 11 | 1 | Surveillance | High | Both | All ages | 678 | 18 041 | 425 | 182 | 243 | ||||||
Arg GROG 2003 66 | Argentina | Jan‐03 | Nov‐03 | 11 | 1 | Surveillance | High | Both | All ages | 1499 | 26 577 | 1323 | 1304 | 19 | ||||||
Arg GROG 2004 67 | Argentina | Jan‐04 | Nov‐04 | 11 | 1 | Surveillance | High | Both | All ages | 1675 | 28 918 | 1130 | 990 | 140 | ||||||
Arg GROG 2005 68 | Argentina | Jan‐05 | Nov‐05 | 11 | 1 | Surveillance | High | Both | All ages | 2990 | 26 029 | 894 | 779 | 115 | ||||||
Arg GROG 2006 69 | Argentina | Jan‐06 | Nov‐06 | 11 | 1 | Surveillance | High | Both | All ages | 2351 | 26 570 | 716 | 560 | 156 | ||||||
Arg GROG 2007 70 | Argentina | Jan‐07 | Nov‐07 | 11 | 1 | Surveillance | High | Both | All ages | 1917 | 28 928 | 986 | 953 | 33 | ||||||
Arg GROG 2008 107 | Argentina | Jan‐08 | Jul‐08 | 6 | 0·5 | Surveillance | High | Both | All ages | N/A | 18 628 | 781 | 448 | 333 | ||||||
Canas 2000 108 | Argentina | Jan‐97 | Dec‐98 | 24 | 2 | Surveillance | High | N/A | N/A | N/A | 27 | 26 | 1 | |||||||
Lopez 2008 71 | Argentina | Mar‐05 | Sep‐05 | 6 | 1 | Case series | High | Inpatient | 0 | 24 | 633 | 43 | 37 | 6 | ||||||
Parra 2005 78 | Argentina | Jan‐98 | Dec‐98 | 12 | 1 | Case series | High | Inpatient | 18 | N/A | N/A | 388 | 61 | |||||||
Parra 2005 109 | Argentina | Jan‐02 | Dec‐02 | 12 | 1 | Case series | High | Inpatient | 16·4 | N/A | N/A | 565 | 13 | |||||||
Viegas 2004 77 | Argentina | Jan‐98 | Dec‐02 | 47 | 5 | Retrospective Case series | High | Inpatient | 0 | 60 | 18 561 | 523 | 508 | 13 | ||||||
Bellei 2007 58 | Brazil | Jun‐01 | Dec‐01 | 7 | 1 | Case series | High | Outpatient | 216 | Older | 412 | 83 | 47 | 36 | ||||||
Coelho 2007 2 | Brazil | Jan‐96 | Dec‐01 | 72 | 5 | Retrospective case series | High | Inpatient | 0 | 24 | 1033 | 45 | 31 | 14 | ||||||
Costa 2006 110 | Brazil | Jan‐01 | Dec‐04 | 48 | 5 | Case series | High | Inpatient | 0 | 60 | 36 | |||||||||
De Freitas Souza 2003 49 | Brazil | May‐96 | Apr‐97 | 12 | 1 | Case series | Low | Outpatient | 138 | 0 | 24 | 8 | 7 | 1 | ||||||
Diniz 2005 72 | Brazil | Nov‐00 | Sep‐02 | 23 | 2 | Cross‐sectional | High | Inpatient | 4 days | 0 | 1 | 78 | 11 | 11 | 0 | |||||
Mixeu 2002 111 | Brazil | Mar‐97 | Oct‐97 | 7 | 1 | RCT | Low | Outpatient | 299 | 34 | 216 | 768 | 203 | |||||||
Straliotto 2002 75 | Brazil | May‐90 | Dec‐92 | 24 | 3 | Prospective Case series | High | N/A | 0 | 60 | 862 | 17 | 0 | 22 | 22 | 17 | ||||
Thomazelli 2007 76 | Brazil | Jan‐03 | Jan‐04 | 12 | 1 | Prospective Case series | High | Inpatient | 5 | 0 | 60 | 336 | 17 | 17 | ||||||
Tsuchiya 2005 56 | Brazil | Jan‐00 | Jan‐03 | 36 | 4 | Cross‐sectional | High | Both | 0 | 840 | 273 | 1348 | 125 | 97 | 28 | |||||
Avendaño 1999 83 | Chile | Mar‐98 | Sep‐98 | 6 | 1 | Surveillance | High | Inpatient | 0 | 60 | 500 | |||||||||
Avendaño 1996‐2006 83 | Chile | Jan‐96 | Dec‐06 | 120 | 10 | Cross‐sectional | High | Inpatient | 0 | 60 | 3672 | 118 | ||||||||
Delpiano 2003 84 | Chile | May‐99 | Sep‐99 | 5 | 1 | Prospective cohort study | High | Inpatient | 14 | 0 | 60 | 175 | 166 | 9 | ||||||
Perret Perez 2004 73 | Chile | Jun‐04 | Jul‐04 | 1 | N/A | Case series | High | Inpatient | 9 | 0 | 780 | 3053 | 892 | |||||||
Rabagliati 2004 74 | Chile | May‐04 | Jun‐04 | 2 | 1 | Case series | High | Inpatient | 816 | 180 | 163 | 55 | 59 | 2 | ||||||
Rabagliati 2006 82 | Chile | May‐04 | Jul‐04 | 3 | 1 | Retrospective Case series | High | Inpatient | 68 | 180 | 1212 | 83 | 61 | 40 | 21 | |||||
Sotomayor 2008 112 | Chile | Jan‐08 | Nov‐08 | 10 | 1 | Surveillance | N/A | N/A | N/A | N/A | 509 | 56 | 53 | 3 | ||||||
Duque 2001 113 | Colombia | Mar‐97 | Aug‐97 | 6 | 1 | RCT | High | Outpatient | 246 | 18 | 60 | 225 | ||||||||
Herrera 2008 80 | Colombia | Sep‐03 | Dec‐03 | 3 | 1 | Surveillance | High | Inpatient | 0 | Older | 64 | 8 | 7 | 7 | 1 | |||||
Morales 2004 1 | Colombia | Oct‐00 | May‐01 | 8 | 1 | Prospective cohort study | N/A | Outpatient | 335 | 32 | 216 | 780 | 158 | |||||||
Cancio 2000 81 | Cuba | Jan‐95 | Dec‐98 | 36 | 3 | Case series | High | Inpatient | 0 | Older | 301 | 195 | 129 | 66 | ||||||
Oropesa Fernandez 1998 54 | Cuba | Jan‐92 | Dec‐95 | 48 | 4 | Case series | High | N/A | N/A | N/A | 148 | 136 | 47 | 51 | 98 | 38 | ||||
Canas 2000 108 | Ecuador | Jan‐97 | Dec‐98 | 24 | 2 | Surveillance | High | N/A | N/A | N/A | 4 | 3 | 1 | |||||||
Jackson 2004 57 | Jamaica | Jan‐03 | Feb‐04 | 13 | 1 | Cross‐sectional | High | Inpatient | N/A | N/A | 318 | 70 | 4 | 48 | 52 | |||||
Cabello 2006 48 | Mexico | Jan‐97 | Feb‐98 | 13 | 1 | Prospective cohort study | Low | Outpatient | 290 | 35 | 0 | 60 | 86 | 60 | 26 | |||||
Talavera 2007 55 | México | Dec‐99 | Dec‐02 | 36 | 3 | Prospective Case series | N/A | N/A | 32·6 | 0 | 60 | 98 | 28 | 28 | 28 | |||||
Gordon 2009 47 | Nicaragua | Jan‐06 | Jan‐07 | 12 | 1 | Community‐based cohort | Low | Outpatient | 3999 | 24 | 144 | 1156 | ||||||||
Canas 2000 108 | Peru | Jan‐97 | Dec‐98 | 24 | 2 | Surveillance | High | N/A | N/A | N/A | 48 | 41 | 7 |
ILI, influenza‐like illnesses.
The overall risk of bias was high in 71·0% (22/31), medium in 3·0% (1/31), and low in 26·0% (8/31) of the studies (Appendix S2).
Cases and deaths
We estimated that about 164 and 251 million ILI cases occurred in LA&C in 2008 (Table 2), including the estimated total number of Influenza A and B cases. For this period, considering theses estimations, Chile presented the highest testing rate (using number of tests registered in the FluNet as nominator, and the 95% CI lower and upper bounds of estimated ILI cases as denominator) between 0·275% and 0·419%, while Brazil showed the lowest one (0·005–0·007%).
Table 2.
Country | ILI cases | Confirmed Influenza cases | Influenza A cases | Influenza B cases | ||||
---|---|---|---|---|---|---|---|---|
Lower 95%CI | Upper 95%CI | Lower 95%CI | Upper 95%CI | Lower 95%CI | Upper 95%CI | Lower 95%CI | Upper 95%CI | |
Argentina* | 11 386 597 | 17 392 976 | 477 098 | 728 766 | 256 727 | 443 527 | 186 736 | 285 239 |
Brazil* | 54 808 006 | 83 718 989 | 4 170 889 | 6 371 015 | 2 121 731 | 3 976 151 | 1 567 837 | 2 394 865 |
Chile* | 4 797 542 | 7 328 224 | 163 596 | 249 892 | 149 936 | 238 472 | 7476 | 11 420 |
Mexico* | 4 797 542 | 7 328 224 | 746 918 | 1 140 914 | 599 028 | 1 056 030 | 55 571 | 84 884 |
Panama* | 970 415 | 1 482 304 | 84 135 | 128 516 | 57 136 | 111 307 | 11 266 | 17 208 |
All LA&C* | 164 487 970 | 251 254 654 | 7 665 139 | 11 708 467 | 5 988 007 | 9 969 760 | 1 138 273 | 1 738 707 |
*Countries with available data to obtain specific estimations. Note: Estimations based on the 46 countries of LA&C and global proportions from meta‐analysis.
ILI, influenza‐like illnesses.
Influenza‐specific mortality was often unavailable, and countries reported ‘influenza and pneumonia’ (I&P) combined mortality to PAHO. I&P‐related mortality was the highest in the youngest and eldest age groups in most of the countries. In Latin America, in children under 5 years of age, I&P deaths were the highest in Ecuador representing 14·4% of all deaths (for the year 2003), 13·5% in Brazil (2004), 4·8% in Paraguay (2001–2003), and 4·0% in Argentina (2004). In the Caribbean, the highest I&P death rate was recorded in Barbados (85·0%) in 2002 for the ≥65, year age group. Across all age groups, I&P were responsible for 2·1% of total deaths in Bermuda (2001–2002), 5·6% in the Cayman Islands (1998–2000), 5·8% in Haiti (2003), 3·5% in Puerto Rico (2004), 7·0% in St. Kitts & Nevis (2002–2004), 14·7% in Guatemala (2001–2003), and 4·3% in Honduras (2003).
Further details can be found in the supplemental material (Appendix S3). 44 In Chile, a country that uses population‐based nationwide Sentinel Units to record data, the influenza‐specific mortality rate was 0·4 per 100 000 population, and 2633 cases of influenza occurred per 100 000 population in 2001.
Incidence
Information on ILI incidence was provided by four studies (two randomized controlled trials, one prospective study, and one cohort study). 1 , 45 , 46 , 47 Incidence of influenza‐related acute respiratory infections (ARI) in children of 5 years of age and younger was described in a prospective study conducted in Mexico, 48 while influenza‐related LRTIs incidences were described in a longitudinal prospective study conducted in Brazil 49 in children attending day care center and aged between 0 and 2 years. The ages of patients included ranged from 18 months to 65 years. The median duration of follow‐up in the above‐mentioned four studies was 12 months. The random effect meta‐analysis of the ILI incidence showed an annual incidence rate of 36 080 (95% CI: 28 550–43 610) episodes per 100 000 person, years, with the highest annual incidence rate recorded in the <5, year age group (45 730 per 100 000 person, years; 95% CI: 39 760–51 710). The incidence of influenza‐related ARI 48 in children <5 years of age was the highest in the 3‐ to 4, year age group (57 500 per 100 000 person, years; 95% CI: 34 000–81 000) and lowest in the 1 to 2, year age group (15 090 per 100 000 person, years; 95% CI: 7700–22 490).
LRTI incidence was 5800 per 100 000 person, years (95% CI: 1780–9810) in children aged 0–2 years. 49 Incidence rates across all age groups are presented in Table 3, Figure 2.
Table 3.
Incidence | Study and age group | Events/Persons, years | Incidence per 100 000 persons‐years (95% CI) | Annual mean rate per 100 000 persons‐years (95% CI) |
---|---|---|---|---|
ILI (meta‐analyzed data) | Duque 2001 50 (18 months–5 years) | 225/492 | 45 730 (39 760–51 710) | 36 080 (28 550–43 610) |
Morales 2004 1 (18–65 years) | 158/503 | 31 410 (26 510–36 310) | ||
Mixeu 2002 51 (21–58 years) | 203/513 | 39 570 (34 130–45 010) | ||
Gordon 2009 52 (2–12 years) | 1156/3999 | 28 910 (27 240–30 570) | ||
ARI | Cabello 2006 53 (0–1 year) | 13/29 | 44 830 (20 460–69 200) | – |
Cabello 2006 53 (1–2 years) | 16/106 | 15 090 (7700–22 490) | ||
Cabello 2006 53 (2–3 years) | 14/53 | 26 420 (12 580–40 250) | ||
Cabello 2006 53 (3–4 years) | 23/40 | 57 500 (34 000–81 000) | ||
Cabello 2006 53 (4–5 years) | 20/39 | 51 280 (28 810–73 760) | ||
LRTI | De Freitas Souza 2003 54 (0–2 years) | 8/138 | 5800 (1780–9810) | – |
ILI, influenza‐like illnesses.
Proportion of confirmed influenza, influenza types, and subtypes among total influenza specimens processed at national reference laboratories
In the meta‐analysis performed to estimate the proportion of influenza‐positive specimens among total respiratory specimens received at influenza centers, the pooled percentage of specimens positive for influenza (all types) ranged between 4·7% and 15·4% per year, with an overall percentage of 8·2% (95% CI: 7·3–9·3) between 1999 and 2008 (Table 4). During the same period, meta‐analyses of influenza types and subtypes showed that the pooled percentage of influenza‐positive type A samples ranged between 60·2% and 96·2%, and the pooled percentage of type B samples ranged between 3·7% and 39·8%. The pooled percentage of influenza type A samples that were H1 subtyped was 9·3%, and H3 subtyped was 19·3% (Table 5).
Table 4.
Year | Number of sub‐studies | N* | Percentage of influenza % (95% CI) |
---|---|---|---|
1999 | 2 | 3021 | 10·13 (4·52–17·66) |
2000 | 4 | 28 084 | 8·42 (1·90–18·95) |
2001 | 4 | 22 818 | 10·95 (4·26–20·23) |
2002 | 7 | 41 442 | 15·42 (7·64–25·29) |
2003 | 8 | 70 280 | 11·39 (5·99–18·24) |
2004 | 10 | 63 676 | 8·35 (5·92–11·15) |
2005 | 8 | 61 781 | 10·62 (7·12–14·73) |
2006 | 9 | 65 662 | 6·13 (4·64–7·83) |
2007 | 10 | 70 461 | 5·13 (3·82–6·62) |
2008** | 12 | 55 905 | 4·66 (3·45–6·04) |
All | 74 | 483 130 | 8·23 (7·25–9·28) |
*Number of specimens received for analysis at all influenza centers.
**Argentinean GROG 2008 107 was not analyzed because complete influenza season’s data were not available.
Table 5.
Year | Number of sub‐studies | N | Percentage of type A % (95% CI) | Percentage of type B % (95% CI) |
---|---|---|---|---|
1999 | 4 | 429 | 85·49 (82·03–88·65) | 14·51 (11·35–17·97) |
2000 | 5 | 1448 | 96·25 (91·61–99·08) | 3·75 (0·92–8·39) |
2001 | 5 | 2503 | 76·96 (63·20–88·27) | 23·04 (11·73–36·80) |
2002 | 9 | 1952 | 60·16 (42·08–76·91) | 39·84 (23·09–57·92) |
2003 | 8 | 3298 | 95·19 (89·56–98·72) | 4·81 (1·28–10·44) |
2004 | 8 | 3051 | 75·51 (66·86–83·22) | 24·49 (16·78–33·14) |
2005 | 8 | 2875 | 84·88 (78·46–90·34) | 15·12 (9·66–21·54) |
2006 | 8 | 2048 | 82·44 (71·59–91·11) | 17·56 (8·89–28·41) |
2007 | 8 | 2495 | 83·63 (73·36–91·78) | 16·37 (8·22–26·64) |
2008† | 8 | 2206 | 72·67 (56·31–86·37) | 27·33 (13·63–43·69) |
All | 71 | 22 305 | 81·77 (78·12–85·15) | 18·23 (14·85–21·88) |
Number of studies | N ‡ | Type A subtype | Percentage % (95% CI) |
---|---|---|---|
63 | 18 586 | H1 | 9·27 (5·68–13·62) |
H3 | 19·32 (13·77–25·55) | ||
NT§ | 63·85 (58·22–69·30) |
*Number of cases with influenza.
**Not typed.
***The percentages do not add up to 100% because each one is a different meta‐analysis with a different subset of studies.
†Argentinean GROG 2008107 was not analyzed because complete FLU season’s data were not available.
‡Number of cases with influenza type A.
§NT, Not subtyped.
The proportion of influenza (all types), influenza types, and subtypes is presented by year (1999–2008) and by country in 6, 7. Initial and final maps are shown in Figure 3. In Appendix S4, the proportion forest plot and the entire map series are shown. The highest percentage of influenza among countries under surveillance was recorded in Peru (69·5%; 95% CI: 66·4–72·5) in 2002 followed by Uruguay (42·6%; 95% CI: 36·6–48·6) in 2005.
Table 6.
Country | Year | Influenza | N | Percentage* % (95% CI) | Percentage type A** % (95% CI) | Percentage type B** % (95% CI) | ||
---|---|---|---|---|---|---|---|---|
All | Type A | Type B | ||||||
Argentina | 1999 | 186 | 154 | 32 | 2616 | 7·11 (6·15–8·16) | 82·80 (76·59–87·92) | 17·20 (12·08–23·41) |
2000 | 454 | 398 | 56 | 21 116 | 2·15 (1·96–2·35) | 87·67 (84·28–90·55) | 12·33 (9·45–15·72) | |
2001 | 869 | 795 | 74 | 21 152 | 4·11 (3·84–4·38) | 91·48 (89·43–93·25) | 8·52 (6·75–10·57) | |
2002 | 425 | 182 | 243 | 18 719 | 2·27 (2·06–2·49) | 42·82 (38·07–47·68) | 57·18 (52·32–61·93) | |
2003 | 1323 | 1304 | 19 | 28 076 | 4·71 (4·47–4·97) | 98·56 (97·77–99·13) | 1·44 (0·87–2·23) | |
2004 | 1130 | 990 | 140 | 30 593 | 3·69 (3·49–3·91) | 87·61 (85·55–89·48) | 12·39 (10·52–14·45) | |
2005 | 894 | 779 | 115 | 29 019 | 3·08 (2·88–3·29) | 87·14 (84·76–89·26) | 12·86 (10·74–15·24) | |
2006 | 716 | 560 | 156 | 28 921 | 2·48 (2·30–2·66) | 78·21 (75·01–81·18) | 21·79 (18·82–24·99) | |
2007 | 986 | 953 | 33 | 30 845 | 3·20 (3·00–3·40) | 96·65 (95·33–97·69) | 3·35 (2·31–4·67) | |
2008 | 781 | 448 | 333 | 18 628 | 4·19 (3·91–4·49) | 57·36 (53·81–60·86) | 42·64 (39·14–46·19) | |
Brazil | 1999 | – | 47 | 6 | – | – | 88·68 (76·97–95·73) | 11·32 (4·27–23·03) |
2001 | – | 16 | 20 | – | – | 44·44 (27·94–61·90) | 55·56 (38·10–72·06) | |
2002 | – | 12 | 31 | – | – | 27·91 (15·33–43·67) | 72·09 (56·33–84·67) | |
2003 | 101 | 97 | 4 | 1080 | 9·35 (7·68–11·25) | 96·04 (90·17–98·91) | 3·96 (1·09–9·83) | |
2004 | 157 | 126 | 31 | 1939 | 8·10 (6·92–9·40) | 80·25 (73·16–86·17) | 19·75 (13·83–26·84) | |
2005 | 99 | 57 | 42 | 2350 | 4·21 (3·44–5·11) | 57·58 (47·23–67·45) | 42·42 (32·55–52·77) | |
2006 | 239 | 187 | 52 | 3131 | 7·63 (6·73–8·62) | 78·24 (72·47–83·30) | 21·76 (16·70–27·53) | |
2007 | 58 | 39 | 19 | 4457 | 1·30 (0·99–1·68) | 67·24 (53·66–78·99) | 32·76 (21·01–46·34) | |
2008 | 298 | 169 | 129 | 3918 | 7·61 (6·79–8·48) | 56·71 (50·87–62·41) | 43·29 (37·59–49·13) | |
Chile | 1999 | 113 | 21 | – | 84·33 (77·05–90·03) | 15·67 (9·97–22·95) | ||
2000 | 356 | 347 | 9 | 2749 | 12·95 (11·72–14·26) | 97·47 (95·26–98·84) | 2·53 (1·16–4·74) | |
2001 | 585 | 1206 | 218 | 19 232 | 3·04 (2·80–3·29) | 84·69 (82·71–86·52) | 15·31 (13·48–17·29) | |
2002 | 554 | 536 | 49 | 19 912 | 2·78 (2·56–3·02) | 91·62 (89·08–93·74) | 8·38 (6·26–10·92) | |
2003 | 1037 | 553 | 1 | 24 137 | 4·30 (4·04–4·56) | 99·82 (99·00–100·00) | 0·18 (0·00–1·00) | |
2004 | 914 | 873 | 164 | 23 626 | 3·87 (3·63–4·12) | 84·19 (81·82–86·35) | 15·81 (13·65–18·18) | |
2005 | 710 | 744 | 170 | 24 858 | 2·86 (2·65–3·07) | 81·40 (78·72–83·87) | 18·60 (16·13–21·28) | |
2006 | 799 | 676 | 34 | 24 029 | 3·33 (3·10–3·56) | 95·21 (93·37–96·66) | 4·79 (3·34–6·63) | |
2007 | 686 | 618 | 181 | 20 125 | 3·41 (3·16–3·67) | 77·35 (74·28–80·21) | 22·65 (19·79–25·72) | |
2008 | 56 | 643 | 43 | 405 | 13·83 (10·62–17·58) | 93·73 (91·65–95·43) | 6·27 (4·57–8·35) | |
Colombia | 1999 | 32 | 53 | 3 | 488 | 6·56 (4·53–9·13) | 94·64 (85·13–98·88) | 5·36 (1·12–14·87) |
2000 | 21 | 32 | 0 | 414 | 5·07 (3·17–7·65) | 100·00 (89·11–100·00) | 0·00 (0·00–10·89) | |
2002 | 31 | 22 | 9 | 517 | 6·00 (4·11–8·40) | 70·97 (51·96–85·78) | 29·03 (14·22–48·04) | |
2003 | 67 | 66 | 1 | 381 | 17·59 (13·90–21·79) | 98·51 (91·96–99·96) | 1·49 (0·04–8·04) | |
2004 | 67 | 22 | 45 | 712 | 9·41 (7·37–11·80) | 32·84 (21·85–45·40) | 67·16 (54·60–78·15) | |
2005 | 77 | 70 | 7 | 972 | 7·92 (6·30–9·80) | 90·91 (82·16–96·27) | 9·09 (3·73–17·84) | |
2006 | 49 | 47 | 2 | 617 | 7·94 (5·93–10·36) | 95·92 (86·02–99·50) | 4·08 (0·50–13·98) | |
Costa Rica | 2008 | – | – | – | 2482 | 0·97 (0·62–1·44) | – | – |
Ecuador | 2007 | – | 40 | 2 | – | – | 95·24 (83·84–99·42) | 4·76 (0·58–16·16) |
El Salvador | 2006 | 22 | – | – | 398 | 5·53 (3·50–8·25) | – | – |
2008 | 24 | – | –– | 369 | 6·50 (4·21–9·52) | – | – | |
French Guiana | 2002 | 72 | 68 | 4 | 273 | 26·37 (21·25–32·02) | 94·44 (86·38–98·47) | 5·56 (1·53–13·62) |
2008 | 27 | 6 | – | 81·82 (64·54–93·02) | 18·18 (6·98–35·46) | |||
Honduras | 2007 | 5 | – | – | 139 | 3·60 (1·18–8·19) | – | – |
2008 | 6 | – | – | 256 | 2·34 (0·86–5·03) | –– | – | |
México | 2000 | 568 | 546 | 22 | 3731 | 15·22 (14·09–16·42) | 96·13 (94·19–97·56) | 3·87 (2·44–5·81) |
2001 | 83 | 81 | 2 | 991 | 8·38 (6·73–10·28) | 97·59 (91·57–99·71) | 2·41 (0·29–8·43) | |
2002 | 108 | 61 | 47 | 1655 | 6·53 (5·38–7·82) | 56·48 (46·60–66·00) | 43·52 (34·00–53·40) | |
2003 | 376 | 357 | 19 | 3098 | 12·14 (11·01–13·34) | 94·95 (92·22–96·93) | 5·05 (3·07–7·78) | |
2004 | 61 | 27 | 34 | 2375 | 2·57 (1·97–3·29) | 44·26 (31·55–57·55) | 55·74 (42·45–68·45) | |
2005 | 297 | 274 | 23 | 2721 | 10·92 (9·77–12·15) | 92·26 (88·61–95·03) | 7·74 (4·97–11·39) | |
2006 | 97 | 49 | 48 | 4189 | 2·32 (1·88–2·82) | 50·52 (40·17–60·83) | 49·48 (39·17–59·83) | |
2007 | 389 | 351 | 38 | 5497 | 7·08 (6·41–7·79) | 90·23 (86·84–92·99) | 9·77 (7·01–13·16) | |
2008 | 126 | 110 | 16 | 5232 | 2·41 (2·01–2·86) | 87·30 (80·20–92·56) | 12·70 (7·44–19·80) | |
Panama | 2007 | 71 | 52 | 19 | 612 | 11·60 (9·17–14·41) | 73·24 (61·41–83·06) | 26·76 (16·94–38·59) |
2008 | 83 | 65 | 18 | 957 | 8·67 (6·97–10·64) | 78·31 (67·91–86·61) | 21·69 (13·39–32·09) | |
Paraguay | 2000 | 38 | 0 | – | 100·00 (90·75–100·00) | 0·00 (0·00–9·25) | ||
2001 | 91 | 39 | 52 | 261 | 34·87 (29·09–40·99) | 42·86 (32·53–53·66) | 57·14 (46·34–67·47) | |
2002 | 31 | 15 | 16 | 150 | 20·67 (14·49–28·03) | 48·39 (30·15–66·94) | 51·61 (33·06–69·85) | |
2003 | 37 | 31 | 6 | 15 516 | 0·24 (0·17–0·33) | 83·78 (67·99–93·81) | 16·22 (6·19–32·01) | |
2004 | 118 | 111 | 7 | 1317 | 8·96 (7·47–10·63) | 94·07 (88·16–97·58) | 5·93 (2·42–11·84) | |
2005 | 83 | 75 | 8 | 1089 | 7·62 (6·12–9·36) | 90·36 (81·89–95·75) | 9·64 (4·25–18·11) | |
2008 | 17 | – | – | 936 | 1·82 (1·06–2·89) | – | – | |
Peru | 2002 | 623 | 377 | 246 | 896 | 69·53 (66·40–72·53) | 60·51 (56·55–64·37) | 39·49 (35·63–43·45) |
2003 | 757 | 637 | 120 | 1912 | 39·59 (37·39–41·82) | 84·15 (81·35–86·68) | 15·85 (13·32–18·65) | |
2004 | 435 | 350 | 85 | 1874 | 23·21 (21·32–25·19) | 80·46 (76·42–84·08) | 19·54 (15·92–23·58) | |
2005 | 394 | 374 | 20 | 1729 | 22·79 (20·83–24·84) | 94·92 (92·27–96·87) | 5·08 (3·13–7·73) | |
2006 | 131 | 114 | 17 | 2610 | 5·02 (4·21–5·93) | 87·02 (80·04–92·26) | 12·98 (7·74–19·96) | |
2007 | 84 | 59 | 25 | 2370 | 3·54 (2·84–4·37) | 70·24 (59·27–79·73) | 29·76 (20·27–40·73) | |
2008 | 119 | 86 | 33 | 2184 | 5·45 (4·53–6·48) | 72·27 (63·32–80·08) | 27·73 (19·92–36·68) | |
Uruguay | 2002 | 10 | 24 | – | 29·41 (15·10–47·48) | 70·59 (52·52–84·90) | ||
2003 | 83 | 80 | 3 | 305 | 27·21 (22·30–32·58) | 96·39 (89·80–99·25) | 3·61 (0·75–10·20) | |
2004 | 46 | 36 | 10 | 432 | 10·65 (7·90–13·95) | 78·26 (63·64–89·05) | 21·74 (10·95–36·36) | |
2005 | 117 | 86 | 31 | 275 | 42·55 (36·63–48·62) | 73·50 (64·55–81·23) | 26·50 (18·77–35·45) | |
2006 | 54 | 52 | 2 | 151 | 35·76 (28·14–43·96) | 96·30 (87·25–99·55) | 3·70 (0·45–12·75) | |
2007 | 66 | 58 | 8 | 516 | 12·79 (10·03–15·98) | 87·88 (77·51–94·62) | 12·12 (5·38–22·49) | |
2008 | 80 | 35 | 45 | 376 | 21·28 (17·25–25·76) | 43·75 (32·68–55·30) | 56·25 (44·70–67·32) | |
Venezuela | 2004 | 12 | – | – | 186 | 6·45 (3·38–11·00) | – | – |
2006 | 52 | 32 | 20 | 787 | 6·61 (4·97–8·57) | 61·54 (47·02–74·70) | 38·46 (25·30–52·98) |
*The denominator is the number of specimens received by influenza centers.
**The denominator is the number of specimens positive for influenza.
Table 7.
Country | Year | Subtype H1 | Subtype H3 | Subtype non‐specified | N | Percentage subtype H1 % (95% CI) | Percentage subtype H3 % (95% CI) | Percentage subtype NTb % (95% CI) |
---|---|---|---|---|---|---|---|---|
Argentina | 1999 | 8 | 45 | 101 | 154 | 5·19 (2·27–9·98) | 29·22 (22·18–37·08) | 65·58 (57·51–73·04) |
2000 | 117 | 10 | 281 | 398 | 29·40 (24·96–34·14) | 0·00 (0·00–0·92) | 70·60 (65·86–75·04) | |
2001 | 1 | 417 | 377 | 2795 | 0·13 (0·00–0·70) | 52·45 (48·91–55·97) | 47·42 (43·90–50·96) | |
2002 | 23 | 10 | 149 | 182 | 12·64 (8·18–18·36) | 5·49 (2·67–9·87) | 81·87 (75·49–87·18) | |
2003 | 263 | 249 | 792 | 1304 | 20·17 (18·02–22·45) | 19·10 (17·00–21·34) | 60·74 (58·03–63·40) | |
2004 | 0 | 483 | 507 | 990 | 0·00 (0·00–0·37) | 48·79 (45·63–51·95) | 51·21 (48·05–54·37) | |
2005 | 0 | 453 | 326 | 779 | 0·00 (0·00–0·47) | 58·15 (54·60–61·64) | 41·85 (38·36–45·40) | |
2006 | 265 | 26 | 269 | 560 | 47·32 (43·12–51·55) | 4·64 (3·06–6·73) | 48·04 (43·83–52·26) | |
2007 | 0 | 321 | 632 | 953 | 0·00 (0·00–0·39) | 33·68 (30·68–36·78) | 66·32 (63·22–69·32) | |
2008 | 20 | 0 | 428 | 448 | 4·46 (2·75–6·81) | 0·00 (0·00–0·82) | 95·54 (93·19–97·25) | |
Brazil | 1999 | 0 | 1 | 46 | 47 | 0·00 (0·00–7·55) | 2·13 (0·05–11·29) | 97·87 (88·71–99·95) |
2003 | 25 | 26 | 46 | 97 | 25·77 (17·42–35·65) | 26·80 (18·32–36·76) | 47·42 (37·19–57·82) | |
2004 | 4 | 34 | 88 | 126 | 3·17 (0·87–7·93) | 26·98 (19·47–35·62) | 69·84 (61·03–77·69) | |
2005 | 3 | 3 | 51 | 57 | 5·26 (1·10–14·62) | 5·26 (1·10–14·62) | 89·47 (78·48–96·04) | |
2006 | 41 | 26 | 120 | 187 | 21·93 (16·22–28·55) | 13·90 (9·29–19·71) | 64·17 (56·85–71·04) | |
2007 | 4 | 12 | 23 | 39 | 10·26 (2·87–24·22) | 30·77 (17·02–47·57) | 58·97 (42·10–74·43) | |
2008 | 96 | 0 | 73 | 169 | 56·80 (48·98–64·39) | 0·00 (0·00–2·16) | 43·20 (35·61–51·02) | |
Chile | 1999 | 1 | 33 | 79 | 113 | 0·89 (0·02–4·83) | 29·20 (21·03–38·50) | 69·91 (60·57–78·18) |
2000 | 2151 | 3 | 193 | 347 | 43·52 (38·23–48·91) | 0·86 (0·18–2·51) | 55·62 (50·22–60·92) | |
2001 | 4 | 245 | 957 | 1206 | 0·33 (0·09–0·85) | 20·32 (18·08–22·70) | 79·35 (76·96–81·61) | |
2002 | 105 | 0 | 431 | 536 | 19·59 (16·31–23·21) | 0·00 (0·00–0·69) | 80·41 (76·79–83·69) | |
2003 | 2 | 316 | 235 | 553 | 0·36 (0·04–1·30) | 57·14 (52·90–61·31) | 42·50 (38·33–46·74) | |
2004 | 0 | 478 | 395 | 873 | 0·00 (0·00–0·42) | 54·75 (51·38–58·09) | 45·25 (41·91–48·62) | |
2005 | 0 | 468 | 276 | 744 | 0·00 (0·00–0·49) | 62·90 (59·32–66·38) | 37·10 (33·62–40·68) | |
2006 | 151 | 192 | 333 | 676 | 22·34 (19·25–25·67) | 28·40 (25·03–31·97) | 49·26 (45·43–53·10) | |
2007 | 7 | 310 | 301 | 3618 | 1·13 (0·46–2·32) | 50·16 (46·15–54·18) | 48·71 (44·70–52·73) | |
2008 | 393 | 0 | 250 | 643 | 61·12 (57·23–64·91) | 0·00 (0·00–0·57) | 38·88 (35·09–42·77) | |
Colombia | 1999 | 0 | 43 | 10 | 53 | 0·00 (0·00–6·72) | 81·13 (68·03–90·56) | 18·87 (9·44–31·97) |
2000 | 22 | 5 | 5 | 32 | 68·75 (49·99–83·88) | 15·63 (5·28–32·79) | 15·63 (5·28–32·79) | |
2003 | 1 | 57 | 8 | 66 | 1·52 (0·04–8·16) | 86·36 (75·69–93·57) | 12·12 (5·38–22·49) | |
2005 | 0 | 2 | 68 | 70 | 0·00 (0·00–5·13) | 2·86 (0·35–9·94) | 97·14 (90·06–99·65) | |
2006 | 0 | 0 | 47 | 47 | 0·00 (0·00–7·55) | 0·00 (0·00–7·55) | 100·00 (92·45–100·00) | |
Ecuador | 2007 | 38 | 0 | 2 | 40 | 95·00 (83·08–99·39) | 0·00 (0·00–8·81) | 5·00 (0·61–16·92) |
French Guiana | 2002 | 0 | 59 | 9 | 68 | 0·00 (0·00–5·28) | 86·76 (76·36–93·77) | 13·24 (6·23–23·64) |
México | 2000 | 4 | 23 | 519 | 546 | 0·73 (0·20–1·87) | 4·21 (2·69–6·25) | 95·05 (92·89–96·72) |
2001 | 9 | 6 | 66 | 781 | 11·11 (5·21–20·05) | 7·41 (2·77–15·43) | 81·48 (71·30–89·25) | |
2002 | 3 | 6 | 52 | 61 | 4·92 (1·03–13·71) | 9·84 (3·70–20·19) | 85·25 (73·83–93·02) | |
2003 | 24 | 79 | 254 | 357 | 6·72 (4·35–9·84) | 22·13 (17·93–26·80) | 71·15 (66·15–75·80) | |
2005 | 26 | 94 | 154 | 274 | 9·49 (6·29–13·59) | 34·31 (28·70–40·26) | 56·20 (50·11–62·17) | |
2006 | 83 | 14 | 32 | 49 | 6·12 (1·28–16·87) | 28·57 (16·58–43·26) | 65·31 (50·36–78·33) | |
2007 | 76 | 95 | 180 | 351 | 21·65 (17·46–26·33) | 27·07 (22·49–32·04) | 51·28 (45·92–56·62) | |
2008 | 16 | 63 | 31 | 110 | 14·55 (8·55–22·54) | 57·27 (47·48–66·66) | 28·18 (20·02–37·56) | |
Panama | 2007 | 0 | 0 | 52 | 52 | 0·00 (0·00–6·85) | 0·00 (0·00–6·85) | 100·00 (93·15–100·00) |
2008 | 0 | 0 | 65 | 65 | 0·00 (0·00–5·52) | 0·00 (0·00–5·52) | 100·00 (94·48–100·00) | |
Paraguay | 2000 | 0 | 0 | 38 | 38 | 0·00 (0·00–9·25) | 0·00 (0·00–9·25) | 100·00 (90·75–100·00) |
2001 | 0 | 0 | 39 | 39 | 0·00 (0·00–9·03) | 0·00 (0·00–9·03) | 100·00 (90·97–100·00) | |
2003 | 0 | 15 | 16 | 31 | 0·00 (0·00–11·22) | 48·39 (30·15–66·94) | 51·61 (33·06–69·85) | |
2004 | 0 | 51 | 60 | 111 | 0·00 (0·00–3·27) | 45·95 (36·45–55·67) | 54·05 (44·33–63·55) | |
2005 | 2 | 27 | 46 | 75 | 2·67 (0·32–9·30) | 36·00 (25·23–47·91) | 61·33 (49·38–72·36) | |
Peru | 2002 | 90 | 222 | 65 | 377 | 23·87 (19·66–28·50) | 58·89 (53·73–63·90) | 17·24 (13·57–21·44) |
2003 | 47 | 85 | 505 | 637 | 7·38 (5·47–9·69) | 13·34 (10·80–16·23) | 79·28 (75·92–82·36) | |
2004 | 78 | 66 | 206 | 350 | 22·29 (18·03–27·01) | 18·86 (14·89–23·36) | 58·86 (53·50–64·06) | |
2005 | 145 | 42 | 187 | 374 | 38·77 (33·80–43·91) | 11·23 (8·21–14·88) | 50·00 (44·82–55·18) | |
2006 | 2 | 1 | 111 | 114 | 1·75 (0·21–6·19) | 0·88 (0·02–4·79) | 97·37 (92·50–99·45) | |
2007 | 0 | 0 | 59 | 59 | 0·00 (0·00–6·06) | 0·00 (0·00–6·06) | 100·00 (93·94–100·00) | |
2008 | 2 | 0 | 84 | 86 | 2·33 (0·28–8·15) | 0·00 (0·00–4·20) | 97·67 (91·85–99·72) | |
Uruguay | 2003 | 16 | 37 | 27 | 80 | 20·00 (11·89–30·44) | 46·25 (35·03–57·76) | 33·75 (23·55–45·19) |
2004 | 0 | 5 | 31 | 36 | 0·00 (0·00–9·74) | 13·89 (4·67–29·50) | 86·11 (70·50–95·33) | |
2005 | 2 | 26 | 58 | 86 | 2·33 (0·28–8·15) | 30·23 (20·79–41·08) | 67·44 (56·48–77·16) | |
2006 | 10 | 0 | 42 | 52 | 19·23 (9·63–32·53) | 0·00 (0·00–6·85) | 80·77 (67·47–90·37) | |
2007 | 0 | 32 | 26 | 58 | 0·00 (0·00–6·16) | 55·17 (41·54–68·26) | 44·83 (31·74–58·46) | |
2008 | 25 | 0 | 10 | 35 | 71·43 (53·70–85·36) | 0·00 (0·00–10·00) | 28·57 (14·64–46·30) | |
Venezuela | 2006 | 18 | 14 | 0 | 32 | 56·25 (37·66–73·64) | 43·75 (26·36–62·34) | 0·00 (0·00–10·89) |
ILI and LRTI rates
The ILI rate was reported in four countries: Argentina (2644·9 per 100 000 persons ‐2005‐), Chile (633 per 100 000 persons ‐2005‐), Dominica (605 per 100 000 persons ‐2003‐), and Panama (cases increased from 6250 to 9822 per 100 000 persons ‐1995–2004‐). This large increase of ILI burden in Panama may have been attributed to the influenza epidemic in 1999 that resulted in an annual ILI rate of 46 262 per 100 000 persons. 44
Information from the Ministries of Health and viral surveillance centers of Argentina and Brazil was available on ILI and LRTI. In Argentina, a median of 874 809 ILI cases and 48 728 LRTI were notified between 2003 and 2007. 50 The rate of ILI notification until August 2007 was 2264·19 per 100 000 persons in adults and 6062·38 per 100 000 persons in children <5 years of age. 51 Between 2000 and 2008, the influenza surveillance system in Brazil revealed that ILI led to a total of 4·39–16·92% of hospital consultations. 52
Influenza‐like illnesses activity in LA&C for the period 1999–2008 is presented in Appendix S4 (data taken from the FluNet). Each national influenza center defines the geographical spread of influenza based on the WHO global influenza surveillance system as follows: Region, No report, No activity, Sporadic, Local outbreak, Regional activity, and Widespread activity. 53
In the meta‐analysis of ILI by age, we included six studies and the Argentinean GROG reports 2001–2007. 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 The proportion of confirmed influenza in ILI cases was high in children aged 5–14 years, while in children younger than 5 years and older than 14 years the proportion of confirmed influenza in ILI cases was low. Meta‐analysis of the proportion of confirmed influenza in LRTI reported in 16 studies 2 , 55 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 showed that the highest proportion occurred in the adolescent population. Type A was more prevalent than type B in confirmed cases of ILI and LRTI (Table 8).
Table 8.
Age groups | Number of studies | N | Influenza Percentage % (95% CI) | Number of studies | N | Percentage Type A % (95% CI) | Percentage Type B % (95% CI) | |
---|---|---|---|---|---|---|---|---|
Confirmed influenza in ILI | 0–5 years | 5 | 1513 | 24·53 (16·94–33·01) | 5 | 390 | 94·29 (83·05–99·66) | 5·71 (0·34–16·95) |
5–14 years | 4 | 1193 | 29·98 (23·19–37·25) | 4 | 382 | 83·36 (45·88–99·98) | 16·64 (0·02–54·12) | |
14–59 years | 4 | 1891 | 19·21 (15·59–23·12) | 4 | 352 | 84·01 (60·02–98·10) | 15·99 (1·90–39·98) | |
60 or more | 3 | 149 | 18·55 (12·79–25·10) | 3 | 27 | 83·89 (50·73–99·77) | 16·11 (0·23–49·27) | |
Any age* | 7 | 12 584 | 16·32 (10·41–23·26) | 7 | 1898 | 85·62 (73·84–94·30) | 14·38 (5·70–26·16) | |
NR | 3 | 975 | 41·57 (5·09–85·05) | 3 | 262 | 80·86 (65·07–92·72) | 19·14 (7·28–34·93) | |
Confirmed influenza in LRTI | 0–2 years | 18 | 6716 | 4·48 (3·07–6·14) | 7 | 223 | 83·53 (69·70–93·74) | 16·46 (6·26–30·30) |
0–5 years | 16 | 142 149 | 3·00 (2·20–3·91) | 15 | 4078 | 87·12 (79·31–93·29) | 12·88 (6·71–20·69) | |
5 to 14/16 years | 10 | 6856 | 11·35 (5·06–19·73) | 9 | 796 | 76·16 (57·11–90·92) | 23·84 (9·08–42·89) | |
14/16 to ≥59 years | 5 | 2303 | 19·38 (16·47–22·47) | 5 | 435 | 79·20 (55·22–95·48) | 20·80 (4·52–44·78) | |
≥60 years | 4 | 457 | 6·66 (4·57–9·11) | 4 | 29 | 92·25 (80·87–98·76) | 7·75 (1·24–19·13) | |
All ages* | 18 | 217 784 | 2·98 (2·91–3·06) | 18 | 7111 | 79·22 (70·25–86·94) | 20·78 (13·06–29·75) | |
NR | 3 | 1271 | 11·79 (2·04–28·01) | – | – | – | – |
*Studies without a specific age range.
ILI, influenza‐like illnesses.
Use of resources
The impact of influenza, ILI, LRTI, and ARI on healthcare resources was reported in eight studies. 1 , 2 , 45 , 46 , 71 , 72 , 74 , 84 A meta‐analysis on the use of healthcare resources was not performed due to the heterogeneity of the designs and included populations.
Many of the influenza cases were severe and led to hospitalization. The mean duration of stay in hospitals ranged between 5·8 and 12·9 days in non‐intensive care units (ICU); 2 , 71 , 72 for patients who were admitted to ICU, the median duration of stay (one study) was 32 days, 71 although it ranged between 5·9 and 13·6 days in another study. 84
The use of antibiotic and/or neuraminidase inhibitors in the treatment of patients with influenza was reported in three studies. 2 , 71 , 72 Oseltamivir resistance of influenza A (H1N1) 2009 virus was reported in two studies in Argentina. 85 , 86
Influenza‐like illnesses also resulted in absenteeism and workdays lost, being the total number of work days lost (in unvaccinated population) of 17, 1 102, 45 and 150 days 45 in the three analyzed studies, respectively.
Hospitalization due to influenza or ILI led to several direct (e.g., hospitalization, diagnosis, and treatment) and indirect costs (domestic help, transportation, loss of productivity due to absenteeism). The mean direct cost at the time of discharge from hospitals was US$575 per laboratory‐confirmed influenza case, US$473 for other respiratory diseases, and US$657 for subjects who tested negative for all viral pathogens. Overall, societal cost at discharge, which takes into account direct and indirect costs, was US$620 per laboratory‐confirmed influenza case, US$453 for other respiratory viruses, and US$669 for subjects who were negative for all viral pathogens. 71
Discussion
Influenza virus has an unparalleled potential to cause epidemics and global pandemics. 87 The disease affects millions of people all over the world and leads to fatal complications in approximately 1 million people every year. 88 In LA&C, seasonal influenza has been the major cause of respiratory infection‐associated morbidity and mortality in older adults and younger children. 89 , 90
In this systematic review, 31 articles, 75 sub‐studies from the FluNet database, the book Health in the Americas 2007 Edition, and 10 reports from collaborative groups were analyzed. We included information mostly derived from surveillance systems, case series, and cross‐sectional studies, which were based on samples from patients who attended healthcare centers or specific sub‐populations. The annual incidence rate of ILI per 1000 person, years was found to be 36 080 per 100 000 person, years. Meta‐analysis was performed on four prospective studies with the highest incidence observed in the <5, year age group. It is important to acknowledge that there may have been underreporting of ILI cases in these studies and thus the rates calculated here may be lower than the true value, highlighting the need of alternative methods, as presented in this report, to estimate the real burden of influenza.
The burden of influenza was high, with increased risk of morbidity and mortality in children under 5 years of age and in the elderly population having underlying medical problems. Consequently, these patients also contributed significantly to the economic burden of the country in terms of hospitalization, treatment, and other resource costs. The rate of hospitalization due to respiratory diseases in children in the United States aged <5 years varied from 100 to 500 per 100 000 children in different reports. 8 , 9 , 10 , 11 , 12 , 13 , 14 Studies in temperate regions in Europe show similar figs. 12 , 16 , 17 , 18 In Hong Kong, where the epidemiological pattern is similar to the tropical zone, higher hospitalization rates (2093–2882 per 100 000) were reported. 19
No meaningful conclusions could be drawn on influenza‐related mortality since Chile was the only country with available mortality data attributable to influenza (overall 0·4 per 100 000 persons; 4·1 per 100 000 persons in ≥65, year age group). Influenza and all‐cause pneumonia deaths are reported together for the majority of LA&C official MOH databases. 44 , 91 While these deaths were originated both from laboratory‐confirmed and ILI cases, and from bacterial pneumonia cases, they still provide a broad complementary perspective of the upper limit of influenza burden. Chilean data were in line with previous studies demonstrating that influenza‐related mortality rate was the highest in the <5, year and >65, year age groups. 92 , 93 One study in the United States used a regression model to attribute an annual average of 41 400 deaths (95% CI: 27 100–55 700) to influenza between 1979 and 2001. 94 Other studies in the United States and England have also shown that influenza infections were seldom fatal in younger adults, but led to deaths (range: 0·8–6·7 per 100 000 persons) in the <5, year age group. 95 , 96
Meta‐analysis of the proportion of influenza‐positive specimens among all specimens received by influenza centers over a 10, year period (1999–2008) showed a range of 4·7–5·4%. Of all influenza‐positive specimens analyzed during the period of study, type A was more frequent than type B, accounting for 81·8% and 18·2% of influenza‐positive samples, respectively. The percentages of laboratory‐confirmed influenza appeared to fluctuate within the period studied, probably due to the severity of annual epidemics. Assessment of the percentage of influenza‐positive specimens per country demonstrated diverse rates between different countries. This could be due to the sampling of patients with different case definitions. Additionally, each country used different baseline and epidemic curves to determine the situation at a given moment, so comparison of the percentages of influenza clinical specimens between countries was not possible. When all studies were grouped, influenza type A predominated in all the years assessed. However, when analyzed by country and year, influenza B was the most prevalent type in Argentina, Brazil, and Uruguay in 2002, Colombia and Mexico in 2004, and Paraguay in 2001. With respect to the proportion of type A‐positive samples accounted for by the different influenza subtypes, H3 influenza viruses were found to be more frequent, although a high proportion of viruses were not subtyped.
As a limitation, substantial heterogeneity was observed; however, the use of a random effect model provided conservative estimations (e.g., on the proportion of influenza cases meta‐analyses).
When conducting seasonal influenza circulation studies using specimens collected at international reference centers, it was generally considered sufficient to analyze only a minimal proportion of isolates to determine the influenza strain in circulation. The circulation of H3 or H1 subtypes did not appear to show a definite trend when analyzed by season or by country. Some calendar years were characterized by the circulation of one unique subtype, while in others there was co‐circulation of H3 and H1.
While sentinel surveillance is not adequate for capturing ILI incidence, it is still useful to learn about flu yearly seasonality patterns and to obtain information related with flu types and subtypes, genetic changes, and the emergence of antiviral resistance. Different surveillance systems coexist in the region and even in a country: virological surveillance, sentinel sites or units, population‐based studies, outbreak investigations. In general, it is not possible to estimate what proportion of the ILI cases has been confirmed as influenza cases because the mentioned systems do not circumscribe a definite population, except for Chilean data where samples are provided by hospitals attending a restricted population. Important underreporting could have arisen from mild episodes that may have not sought medical attention, and also due to the passive nature of the surveillance in LAC countries.
Respiratory syncytial virus (RSV) is the most frequent viral agent causing severe acute LRTI, needing hospitalization in infant and young children worldwide. 97 , 98 , 99 The diagnosis of viral respiratory infections improved in the last years, and currently comprises 21 national influenza centers in the region, including detection of RSV, adenovirus, and para‐influenza viruses. Weekly information on the circulation of respiratory viruses started to be organized by PAHO in 2009. Besides, epidemiological data on bronchiolitis notifications started to be analyzed at the Ministries of Health of several countries. In Argentina, bronchiolitis notifications started in 2004.
The emergence of the H1N1 2009 pandemic virus triggered a number of new investigations, some of them reflecting ILI incidence data in previously non‐studied regions, 100 in an active population‐based surveillance in 2008–2009 in the Amazon Basin, Peru, estimated an age‐adjusted incidence of ILI of 46·7 episodes/1000 person‐years and an age‐adjusted incidence rate of 16·5 symptomatic influenza virus infections/1000 person, years.
Besides, different testing methods have been employed in the literature analyzed with marked differences in sensitivity and specificity for detection of influenza virus and co‐circulating viruses of relevance as RSV. In general, virological influenza surveillance before H1N1 2009 pandemics has been performed by immunofluorescence as well as for etiological studies. Special facilities proportionate new etiological approaches as in the studies by Laguna Torres et al. in Peru 101 , 102 , 103 or Douce et al. in Ecuador. 104 Even though, most of them are biased by the selection of the population or the recruitment sites.
Laboratory‐confirmed influenza hospitalizations and deaths underestimate influenza burden because influenza rarely appears on medical records, and death can occur after secondary bacterial infection or exacerbation of comorbidities several weeks after the primary viral infection has subsided. Charu et al. 105 estimate influenza‐related mortality rates for interpandemic and pandemic seasons during 2000–2010, applying Serfling cyclical regression models to monthly death rates due to I&P, respiratory causes, cardiac causes, and all‐cause mortality, with data obtained from the vital statistics at the Mexican Ministry of Health. 24 Results obtained estimate that the excess pandemic mortality was 0·6–2·6 times higher than the seasonal mean excess mortality.
Conclusion
We critically reviewed data collected over the last decade on the circulation of the influenza virus and of its types and subtypes in LA&C. Although we could not draw solid conclusions on incidence and use of resources due to heterogeneity between populations, sampling methods, and definitions used, this review could be informative for decision makers in adopting measures to control the disease.
Although there has been a considerable improvement in the influenza surveillance systems in the region, the ILI notification rate is still unsatisfactory. Limited conclusions can be drawn from trends identified in the circulation of different influenza types or subtypes, or their geographical distribution and spread. In LA&C, pneumonia and influenza are placed together between the first and eighth leading causes of death in men and women alike. The highest rates of pneumonia and influenza‐related deaths are seen in the <5, year and ≥60, year age groups. To improve our knowledge about incidence and resource use for influenza in LA&C, more data from population‐based cohort studies are needed.
Conflict of interest
IECS authors and Vilma Savy declare no conflicts of interest. Eduardo Ortega‐Barría and Rómulo E. Colindres are employees of GlaxoSmithKline Biologicals.
Funding
This work was supported by GlaxoSmithKline Biologicals and by the Institute for Clinical Effectiveness and Health Policy.
Supporting information
Acknowledgements
The authors express their gratitude to the librarian Daniel Comandé for his crucial contribution to this study; Geetha Subramanyam and Juliette Gray for medical writing, Camilo Moreno and Jessica Mattos for editorial assistance and coordination of this publication (all four employees or on behalf of GSK).
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