Abstract:Background and Aims
Community‐acquired pneumonia is responsible for substantial mortality, and pneumococcus is commonly accepted as a major cause of pneumonia, regardless of laboratory confirmation. Child immunization programs have reported success in decreasing pneumonia mortality: directly in young children and indirectly (herd immunity) in unvaccinated adult populations in some countries. We assess changes in mortality trends for all‐cause pneumonia in older adults associated with the introduct… Show more
“…This suggests that the percentage of deaths among young children due to pneumonia had already decreased before PCVs were available and were later relatively unaltered by PCV introduction. There are previous reports on how, in Peru, (1) PCVs alone cannot explain the trend in infant pneumonia mortality (direct benefit to the vaccinated population) [17] and (2) there is a lack of evidence of herd protection (indirect benefit on the older adult unvaccinated population) following PCV introduction [18]. Also, all-cause infant mortality rates have been dropping globally for decades, but in most countries PCVs have only been available relatively recently [19], so other factors may be involved in infant mortality.…”
Section: Discussionmentioning
confidence: 99%
“…As additional serotypes are added to new vaccines, questions arise regarding their efficacy in specific settings that were not involved in the design of the vaccine. Considering decreasing global infant mortality trends [19], no evidence of herd immunity [18], an unclear trend in infants [17] and the absence of serotype confirmation in Peru, there is just not enough evidence to support a strong impact from broader PCVs on infant mortality. We can attest to a consistent decrease in pneumonia mortality among young children (infants, toddlers and preschoolers) since 2013 in Peru, but it is unclear whether this trend can be solely explained by PCV intervention.…”
Worldwide, conjugated pneumococcal vaccines (PCVs) have proven effective against invasive pneumococcal disease, but non-invasive pneumonia is a major cause of mortality in young children and serotypes vary geographically, affecting effectiveness. We analyze nationwide death certificate data between 2003–2017 to assess the impact of PCVs on pneumonia mortality among young children from Peru. We report descriptive statistics and perform timeseries analysis on annual mortality rates (AMRs) and monthly frequencies of pneumonia deaths. Children under 5 years of age accounted for 6.2% (n = 10,408) of all pneumonia deaths (N = 166,844), and 32.3% (n = 3363) were children between 1–4 years of age, of which 95.1% did not report pneumonia etiology. Comparing periods before and after PCV introduction in 2009, mean AMRs dropped 13.5% and 26.0% for children between 1–4 years of age (toddlers/preschoolers), and children under 1 year of age (infants), respectively. A moderate correlation (Spearman’s r = 0.546, p < 0.01) in the monthly frequency of pneumonia deaths was estimated between both age groups. Quadratic regression suggests a change in direction around 2005 (highest pneumonia mortality) for both age groups, but percentage change analysis identified an inflection point in 2013 for infants only, not for toddlers/preschoolers, suggesting that the impact of PCVs might be different for each age group.
“…This suggests that the percentage of deaths among young children due to pneumonia had already decreased before PCVs were available and were later relatively unaltered by PCV introduction. There are previous reports on how, in Peru, (1) PCVs alone cannot explain the trend in infant pneumonia mortality (direct benefit to the vaccinated population) [17] and (2) there is a lack of evidence of herd protection (indirect benefit on the older adult unvaccinated population) following PCV introduction [18]. Also, all-cause infant mortality rates have been dropping globally for decades, but in most countries PCVs have only been available relatively recently [19], so other factors may be involved in infant mortality.…”
Section: Discussionmentioning
confidence: 99%
“…As additional serotypes are added to new vaccines, questions arise regarding their efficacy in specific settings that were not involved in the design of the vaccine. Considering decreasing global infant mortality trends [19], no evidence of herd immunity [18], an unclear trend in infants [17] and the absence of serotype confirmation in Peru, there is just not enough evidence to support a strong impact from broader PCVs on infant mortality. We can attest to a consistent decrease in pneumonia mortality among young children (infants, toddlers and preschoolers) since 2013 in Peru, but it is unclear whether this trend can be solely explained by PCV intervention.…”
Worldwide, conjugated pneumococcal vaccines (PCVs) have proven effective against invasive pneumococcal disease, but non-invasive pneumonia is a major cause of mortality in young children and serotypes vary geographically, affecting effectiveness. We analyze nationwide death certificate data between 2003–2017 to assess the impact of PCVs on pneumonia mortality among young children from Peru. We report descriptive statistics and perform timeseries analysis on annual mortality rates (AMRs) and monthly frequencies of pneumonia deaths. Children under 5 years of age accounted for 6.2% (n = 10,408) of all pneumonia deaths (N = 166,844), and 32.3% (n = 3363) were children between 1–4 years of age, of which 95.1% did not report pneumonia etiology. Comparing periods before and after PCV introduction in 2009, mean AMRs dropped 13.5% and 26.0% for children between 1–4 years of age (toddlers/preschoolers), and children under 1 year of age (infants), respectively. A moderate correlation (Spearman’s r = 0.546, p < 0.01) in the monthly frequency of pneumonia deaths was estimated between both age groups. Quadratic regression suggests a change in direction around 2005 (highest pneumonia mortality) for both age groups, but percentage change analysis identified an inflection point in 2013 for infants only, not for toddlers/preschoolers, suggesting that the impact of PCVs might be different for each age group.
“…Lung disease is a leading cause of death across the globe, and pneumonia, one of the most common infectious diseases, is also one of the leading causes of mortality worldwide [1]. Pneumonia is an infection that occurs in the lungs, and every year it affects approximately 7% of the global population, and four million patients face mortality risks [2].…”
Lung disease is a respiratory disease that poses a high risk to people worldwide and includes pneumonia and COVID-19. As such, quick and precise identification of lung disease is vital in medical treatment. Early detection and diagnosis can significantly reduce the life-threatening nature of lung diseases and improve the quality of life of human beings. Chest X-ray and computed tomography (CT) scan images are currently the best techniques to detect and diagnose lung infection. The increase in the chest X-ray or CT scan images at the time of training addresses the overfitting dilemma, and multi-class classification of lung diseases will deal with meaningful information and overfitting. Overfitting deteriorates the performance of the model and gives inaccurate results. This study reduces the overfitting issue and computational complexity by proposing a new enhanced kernel convolution function. Alongside an enhanced kernel convolution function, this study used convolution neural network (CNN) models to determine pneumonia and COVID-19. Each CNN model was applied to the collected dataset to extract the features and later applied these features as input to the classification models. This study shows that extracting deep features from the common layers of the CNN models increased the performance of the classification procedure. The multi-class classification improves the diagnostic performance, and the evaluation metrics improved significantly with the improved support vector machine (SVM). The best results were obtained using the improved SVM classifier fed with the features provided by CNN, and the success rate of the improved SVM was 99.8%.
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