2017
DOI: 10.1111/irv.12490
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Estimates of seasonal influenza‐associated mortality in Bangladesh, 2010‐2012

Abstract: BackgroundSeasonal influenza‐associated mortality estimates help identify the burden of disease and assess the value of public health interventions such as annual influenza immunization. Vital registration is limited in Bangladesh making it difficult to estimate seasonal influenza mortality.ObjectivesOur study aimed to estimate seasonal influenza‐associated mortality rates for 2010‐2012 in Bangladesh.MethodsWe conducted surveillance among hospitalized patients with severe acute respiratory illness (SARI) for p… Show more

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Cited by 32 publications
(46 citation statements)
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“…While we noted that there is substantial burden from influenza virus infection in Bangladesh in 2010‐2012,2 our estimates are not higher than other estimates published from neighboring countries (reviewed in detail here4). Estimates from Kenya,5 South Africa,6 and Thailand7 are comparable to our estimates, and in some instances, higher than estimates for Bangladesh.…”
contrasting
confidence: 58%
See 2 more Smart Citations
“…While we noted that there is substantial burden from influenza virus infection in Bangladesh in 2010‐2012,2 our estimates are not higher than other estimates published from neighboring countries (reviewed in detail here4). Estimates from Kenya,5 South Africa,6 and Thailand7 are comparable to our estimates, and in some instances, higher than estimates for Bangladesh.…”
contrasting
confidence: 58%
“…We thank Dr. Alonso et al for their commentary1 on our articles, “Estimates of Seasonal Influenza‐Associated Mortality in Bangladesh, 2010‐2012”2 and “The National Burden of Influenza‐Associated Severe Acute Respiratory Illness Hospitalization in Rwanda, 2012‐2014.”3 In their commentary, they described three assumptions that we would like to address: (1) their use of “substantial” burden compared to “high” burden, (2) the comparability of influenza burden in tropical climate countries, and (3) the impact of the influenza A(H1N1)pdm09 virus on mortality. In addition, they describe three concerns about our estimates, which we would also like to clarify, specifically: (4) a mismatch in the timing of respiratory deaths and the influenza virus circulation period, (5) mortality attribution, and (6) the comparison with Institute of Health Metrics and Evaluation (IHME) estimates.…”
mentioning
confidence: 99%
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“…We demonstrate the application of the proposed evaluation strategy by using it to assess the capacity of hospital-based surveillance for severe infectious diseases in Bangladesh, which is based on tertiary care hospitals located throughout the country. We used data from two surveys carried out in catchment areas of some of these hospitals that investigated the healthcare utilization behavior of individuals with severe neurological infectious disease or fatal respiratory infectious disease (Fig 2A) [14,15]. These disease types are of great public health relevance in Bangladesh (e.g., Japanese encephalitis and influenza) but also represent symptoms typical of other emerging infectious diseases (e.g., Nipah and severe acute respiratory syndrome).…”
Section: Example Using Severe Neurological Infectious Diseases and Famentioning
confidence: 99%
“…A first survey collected data between 10 June 2008 and 30 March 2009 about cases with symptoms of severe neurological infection that occurred within the previous 12 mo in 60 small administrative units (mean population size of 28,000 people) in the catchment areas of three surveillance hospitals [14]. A second survey collected data between 3 April 2012 and 22 February 2013 about acute respiratory infection (ARI)-related deaths that occurred within the previous 24 mo in 22 administrative units in the catchment areas of 11 surveillance hospitals [15]. We considered ARI-related deaths as a proxy for respiratory disease of sufficient severity to require medical attention.…”
Section: Example Using Severe Neurological Infectious Diseases and Famentioning
confidence: 99%