Bolstering gun injury surveillance accuracy using capture–recapture methods

Post, Lori A.; Balsen, Zev; Spano, Richard; Vaca, Federico E.

doi:10.1007/s10865-019-00017-4

Cited by 18 publications

(11 citation statements)

References 17 publications

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“…This study used C‐R methods to calculate influenza incidence among hospitalized patients and then used two methods for population burden: CDC's HAIVEN burden estimate methods and a combination of HAIVEN and C‐R estimates. C‐R has been adapted from ecological studies and used in a wide array of health‐related studies including Alzheimer's disease, heart attack, HIV infection, gun injury, pediatric disease surveillance, gastric cancer, and norovirus infections 7–12 . The Petersen C‐R method using two sources of data in this study is a special case of the generalized C‐R method for estimating burden using multiple data sources.…”

Section: Discussionmentioning

confidence: 99%

Using capture‐recapture methods to estimate influenza hospitalization incidence rates

Balasubramani

Nowalk

Clarke

et al. 2021

Influenza Resp Viruses

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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.

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Section: Discussionmentioning

confidence: 99%

Using capture‐recapture methods to estimate influenza hospitalization incidence rates

Balasubramani

Nowalk

Clarke

et al. 2021

Influenza Resp Viruses

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“…C-R has been adapted from ecological studies and used in a wide array of health-related studies including Alzheimer's disease, heart attack, HIV infection, gun injury, pediatric disease surveillance, gastric cancer, and norovirus infections. [4][5][6][7][8][9] Direct C-R uses two databases and is believed to result in better estimates than indirect C-R, which uses three or more databases. In this study, estimates were nearly identical between observed and estimated incidence.…”

Section: Discussionmentioning

confidence: 99%

Using Capture-Recapture Methods to Estimate Influenza Hospitalization Incidence Rates

Balasubramani

Nowalk

Clarke

et al. 2020

Preprint

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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 better estimate prevalence than is possible using single sources. This study used the C-R method to estimate influenza cases using research and administrative databases to calculate county-wide influenza hospitalization burden. Methods: Data were derived from a database of clinical virology test results and research data from an influenza vaccine effectiveness study from seasons 2015-2016 to 2018-2019. Missed influenza cases were estimated using C-R method. These estimates were used to calculate disease burden using the multiplier method to correct for underreporting due to curtailing data collection before the end of influenza circulation. Results: Over all seasons, 422 influenza cases were reported in the administrative database and 382 influenza cases in the research database. Seventy-five cases (18%) reported in the administrative database were not captured in the research database, and 35 (9%) cases in the research database were not captured in the administrative database. Completeness of the influenza hospitalization was estimated to be 76%. Influenza hospitalizations were higher among unvaccinated (32%) than vaccinated (22%) in the current season and among unvaccinated (28%) than vaccinated (23%) in the previous year. The incidence rates for influenza hospitalizations varied by age and season and averaged 421 cases/100,000 population annually. Conclusion: The capture-recapture method offers a more accurate method for estimating influenza hospitalization than relying on a single data source. Using the multiplier method with adjustments improves the detection of influenza disease burden through a matched database. The incidence rates are consistent with national estimates.

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“…For example, information about where a firearm injury occurred is commonly missing from national data sources (Parker, 2020). There is, however, evidence to suggest that law enforcement data are valid and reliable sources for firearm violence information (Kaufman et al, 2020;Magee et al, 2021;Post et al, 2019). This exploratory study uses law enforcement data to examine unintentional nonfatal shooting incidents and victims in a large Midwestern city.…”

Section: Crimrxiv •mentioning

confidence: 99%