tetano
Editor, Senior Moderator
Influenza Other Respir Viruses
. 2021 Nov 8.
doi: 10.1111/irv.12924. Online ahead of print.
Using capture-recapture methods to estimate influenza hospitalization incidence rates
Goundappa K Balasubramani[SUP] 1 [/SUP], Mary Patricia Nowalk[SUP] 2 [/SUP], Lloyd G Clarke[SUP] 3 [/SUP], Klancie Dauer[SUP] 1 [/SUP], Fernanda Silveira[SUP] 4 [/SUP], Donald B Middleton[SUP] 5 [/SUP], Mohamed Yassin[SUP] 6 [/SUP], Richard K Zimmerman[SUP] 2 [/SUP]
Affiliations
Abstract
Background: Accurate population estimates of disease incidence and burden are needed to set appropriate public health policy. The capture-recapture (C-R) method combines data from multiple sources to provide better estimates than is possible using single sources.
Methods: Data were derived from clinical virology test results and from an influenza vaccine effectiveness study from seasons 2016-2017 to 2018-2019. The Petersen C-R method was used to estimate the population size of influenza cases; these estimates were then used to calculate adult influenza hospitalization burden using a Centers for Disease Control and Prevention (CDC) multiplier method.
Results: Over all seasons, 343 influenza cases were reported in the clinical database, and 313 in the research database. Fifty-nine cases (17%) reported in the clinical database were not captured in the research database, and 29 (9%) cases in the research database were not captured in the clinical database. Influenza hospitalizations were higher among vaccinated (58%) than the unvaccinated (35%) in the current season and were similar among unvaccinated (51%) and vaccinated (49%) in the previous year. Completeness of the influenza hospitalization capture was estimated to be 76%. The incidence rates for influenza hospitalizations varied by age and season and averaged 307-309 cases/100,000 adult population annually.
Conclusion: Using C-R methods with more than one database, along with a multiplier method with adjustments improves the population estimates of influenza disease burden compared with relying on a single-data source.
Keywords: capture-recapture; hospitalization; influenza; influenza burden; influenza incidence.
. 2021 Nov 8.
doi: 10.1111/irv.12924. Online ahead of print.
Using capture-recapture methods to estimate influenza hospitalization incidence rates
Goundappa K Balasubramani[SUP] 1 [/SUP], Mary Patricia Nowalk[SUP] 2 [/SUP], Lloyd G Clarke[SUP] 3 [/SUP], Klancie Dauer[SUP] 1 [/SUP], Fernanda Silveira[SUP] 4 [/SUP], Donald B Middleton[SUP] 5 [/SUP], Mohamed Yassin[SUP] 6 [/SUP], Richard K Zimmerman[SUP] 2 [/SUP]
Affiliations
- PMID: 34750974
- DOI: 10.1111/irv.12924
Abstract
Background: Accurate population estimates of disease incidence and burden are needed to set appropriate public health policy. The capture-recapture (C-R) method combines data from multiple sources to provide better estimates than is possible using single sources.
Methods: Data were derived from clinical virology test results and from an influenza vaccine effectiveness study from seasons 2016-2017 to 2018-2019. The Petersen C-R method was used to estimate the population size of influenza cases; these estimates were then used to calculate adult influenza hospitalization burden using a Centers for Disease Control and Prevention (CDC) multiplier method.
Results: Over all seasons, 343 influenza cases were reported in the clinical database, and 313 in the research database. Fifty-nine cases (17%) reported in the clinical database were not captured in the research database, and 29 (9%) cases in the research database were not captured in the clinical database. Influenza hospitalizations were higher among vaccinated (58%) than the unvaccinated (35%) in the current season and were similar among unvaccinated (51%) and vaccinated (49%) in the previous year. Completeness of the influenza hospitalization capture was estimated to be 76%. The incidence rates for influenza hospitalizations varied by age and season and averaged 307-309 cases/100,000 adult population annually.
Conclusion: Using C-R methods with more than one database, along with a multiplier method with adjustments improves the population estimates of influenza disease burden compared with relying on a single-data source.
Keywords: capture-recapture; hospitalization; influenza; influenza burden; influenza incidence.