tetano
Editor, Senior Moderator
PLoS One
. 2022 Jun 10;17(6):e0269804.
doi: 10.1371/journal.pone.0269804. eCollection 2022.
Rate of diagnosed seasonal influenza in children with influenza-like illness: A cross-sectional study
Mitsuo Uchida[SUP] 1 [/SUP], Takenori Yamauchi[SUP] 2 [/SUP]
Affiliations
Abstract
Introduction: Although influenza surveillance systems have been used to monitor influenza epidemics, these systems generally evaluate diagnostic information obtained from medical institutions and they do not include patients who have not been examined. In contrast, community based epidemiological studies target people with influenza-like illness (ILI) that self-reported influenza-like symptoms whether they have medical examinations or not. Because the criteria for influenza surveillance systems and ILI differ, there is a gap between them. The purpose of this study was to clarify this gap using school-based survey data.
Methods: Questionnaires about both ILI and the influenza diagnosis history during the 2018/19 season were administered to the guardians of 11,684 elementary schoolchildren in a single city in Japan. Based on their responses, a Bayesian model was constructed to estimate the probability of infection, ILI onset, and diagnosis at medical institutions.
Results: Responses were obtained from guardians of 10,309 children (88.2%). Of these, 3,380 children (32.8%) had experienced ILI, with 2,380 (23.1%) diagnosed as influenza at a medical institution. Bayesian estimation showed that the probability of influenza cases being diagnosed among ILI symptomatic children was 70% (95% credible interval, 69-71%). Of the infected children, 5% were without ILI symptoms, with 11% of these patients diagnosed with influenza.
Conclusions: This epidemiological study clarified the proportion gap between ILI and influenza diagnosis among schoolchildren. These results may help to establish epidemic control measures and secure sufficient medical resources.
. 2022 Jun 10;17(6):e0269804.
doi: 10.1371/journal.pone.0269804. eCollection 2022.
Rate of diagnosed seasonal influenza in children with influenza-like illness: A cross-sectional study
Mitsuo Uchida[SUP] 1 [/SUP], Takenori Yamauchi[SUP] 2 [/SUP]
Affiliations
- PMID: 35687648
- DOI: 10.1371/journal.pone.0269804
Abstract
Introduction: Although influenza surveillance systems have been used to monitor influenza epidemics, these systems generally evaluate diagnostic information obtained from medical institutions and they do not include patients who have not been examined. In contrast, community based epidemiological studies target people with influenza-like illness (ILI) that self-reported influenza-like symptoms whether they have medical examinations or not. Because the criteria for influenza surveillance systems and ILI differ, there is a gap between them. The purpose of this study was to clarify this gap using school-based survey data.
Methods: Questionnaires about both ILI and the influenza diagnosis history during the 2018/19 season were administered to the guardians of 11,684 elementary schoolchildren in a single city in Japan. Based on their responses, a Bayesian model was constructed to estimate the probability of infection, ILI onset, and diagnosis at medical institutions.
Results: Responses were obtained from guardians of 10,309 children (88.2%). Of these, 3,380 children (32.8%) had experienced ILI, with 2,380 (23.1%) diagnosed as influenza at a medical institution. Bayesian estimation showed that the probability of influenza cases being diagnosed among ILI symptomatic children was 70% (95% credible interval, 69-71%). Of the infected children, 5% were without ILI symptoms, with 11% of these patients diagnosed with influenza.
Conclusions: This epidemiological study clarified the proportion gap between ILI and influenza diagnosis among schoolchildren. These results may help to establish epidemic control measures and secure sufficient medical resources.