tetano
Editor, Senior Moderator
PLoS One. 2018 May 1;13(5):e0196650. doi: 10.1371/journal.pone.0196650. eCollection 2018.
[h=1]The burden of acute respiratory infections in Ecuador 2011-2015.[/h] Chicaiza-Ayala W[SUP]1[/SUP], Henr?quez-Trujillo AR[SUP]1[/SUP], Ortiz-Prado E[SUP]1,[/SUP][SUP]2[/SUP], Douce RW[SUP]3[/SUP], Coral-Almeida M[SUP]1[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Burden of disease studies intend to improve public health decision-making and to measure social and economic impact in population. The objective of this study was to describe the burden of acute respiratory infections (ARI) in Ecuador between 2011 and 2015.
[h=4]METHODS:[/h] Five-year period morbidity and mortality data available from national agencies of statistics was analyzed to estimate the burden of disease attributable to acute respiratory infections. Cases and deaths registered were grouped according to their ICD-10 code into three diagnostic groups: Acute upper respiratory infections (J00-J06), Influenza and pneumonia (J09-J18), and Bronchitis and other acute lower respiratory infections (J20-J22, J85, J86). Disability-adjusted life years stratified by diagnostic and age group were calculated using the "DALY" package for R. The productivity loss in monetary terms was estimated using the human capital method.
[h=4]RESULTS:[/h] Over the 5-year period studied there were a total of 14.84 million cases of acute respiratory infections, with 17 757 deaths reported (0.12%). The yearly burden of disease ranged between 98 944 to 118 651 disability-adjusted life years, with an estimated average loss of productivity of US$152.16 million (?19.6) per year. Approximately 99% of the burden can be attributed to years life lost due to premature mortality in population under 5 years old and over 60 years-old.
[h=4]CONCLUSIONS:[/h] The burden of acute respiratory infections remained steady during the analyzed period. Evidence-based prevention and control policies to tackle acute respiratory infections in Ecuador should focus on the population at extreme ages of life.
PMID: 29715314 DOI: 10.1371/journal.pone.0196650
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[h=1]The burden of acute respiratory infections in Ecuador 2011-2015.[/h] Chicaiza-Ayala W[SUP]1[/SUP], Henr?quez-Trujillo AR[SUP]1[/SUP], Ortiz-Prado E[SUP]1,[/SUP][SUP]2[/SUP], Douce RW[SUP]3[/SUP], Coral-Almeida M[SUP]1[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] [h=4]BACKGROUND:[/h] Burden of disease studies intend to improve public health decision-making and to measure social and economic impact in population. The objective of this study was to describe the burden of acute respiratory infections (ARI) in Ecuador between 2011 and 2015.
[h=4]METHODS:[/h] Five-year period morbidity and mortality data available from national agencies of statistics was analyzed to estimate the burden of disease attributable to acute respiratory infections. Cases and deaths registered were grouped according to their ICD-10 code into three diagnostic groups: Acute upper respiratory infections (J00-J06), Influenza and pneumonia (J09-J18), and Bronchitis and other acute lower respiratory infections (J20-J22, J85, J86). Disability-adjusted life years stratified by diagnostic and age group were calculated using the "DALY" package for R. The productivity loss in monetary terms was estimated using the human capital method.
[h=4]RESULTS:[/h] Over the 5-year period studied there were a total of 14.84 million cases of acute respiratory infections, with 17 757 deaths reported (0.12%). The yearly burden of disease ranged between 98 944 to 118 651 disability-adjusted life years, with an estimated average loss of productivity of US$152.16 million (?19.6) per year. Approximately 99% of the burden can be attributed to years life lost due to premature mortality in population under 5 years old and over 60 years-old.
[h=4]CONCLUSIONS:[/h] The burden of acute respiratory infections remained steady during the analyzed period. Evidence-based prevention and control policies to tackle acute respiratory infections in Ecuador should focus on the population at extreme ages of life.
PMID: 29715314 DOI: 10.1371/journal.pone.0196650
Free full text