1. Assessment of two complementary influenza surveillance systems: sentinel primary care influenza-like illness versus severe hospitalized laboratory-confirmed influenza using the moving epidemic method
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Torner, N, Basile, L, Martinez, A, Rius, C, Godoy, P, Jane, M, Dominguez, A, Aizpurua, J, Alonso, J, Azemar, J, Aizpurua, P, Ardaya, PM, Basas, MD, Batalla, J, Biendicho, P, Bonet, M, Caliado, M, Campos, S, Casanovas, JM, Ciurana, E, Clapes, M, Cots, JM, De la Rica, D, Domingo, I, Elizalde, G, Escapa, P, Fajardo, S, Fau, E, Fernandez, O, Fernandez, M, Ferrer, C, Forcada, A, Fos, E, Gadea, G, Garcia, J, Garcia, R, Gatius, C, Gelado, MJ, Grau, M, Grive, M, Guzman, MC, Hernandez, R, Jimenez, G, Juscafresa, A, LLussa, AM, Lopez, C, Kristensen, L, Macia, E, Mainou, A, Marco, E, Martinez, M, Martinez, JG, Maruianda, KV, Masa, R, Moncosi, X, Naranjo, MA, Navarro, D, Ortola, E, Paris, F, Perez, MM, Pozo, C, Pujol, R, Ribatailada, A, Ruiz, G, Sabate, S, Sanchez, R, Sarra, N, Tarrago, E, Teixido, AM, Torres, A, Valen, E, Van Esso, D, Van Tarjcwick, C, Schoenholzer, RV, Zabala, E, Marcos, MA, Mosquera, MDM, Rubio, E, Isanta, R, Anton, A, Pumarola, T, Vilella, A, Gorrindo, P, Espejo, E, Andres, M, Barcenilla, F, Navarro, G, Barrabeig, I, Pou, J, Alvarez, P, Plasencia, E, Rebull, J, Sala, MR, Riera, M, Camps, N, Follia, N, Oller, A, Bach, P, Perez, R, Torra, R, Carol, M, Mingueli, S, Marce, R, Garcia-Pardo, G, Olona, M, Alvarez, A, Ramon, JM, Modol, JM, Mena, G, Campins, M, Massuet, C, Tora, G, Ferras, J, and Ferrus, G
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Hospitalization ,Threshold ,Epidemic ,Sentinel surveillance ,Influenza like illness ,Influenza ,Primary health care - Abstract
Background Monitoring seasonal influenza epidemics is the corner stone to epidemiological surveillance of acute respiratory virus infections worldwide. This work aims to compare two sentinel surveillance systems within the Daily Acute Respiratory Infection Information System of Catalonia (PIDIRAC), the primary care ILI and Influenza confirmed samples from primary care (PIDIRAC-ILI and PIDIRAC-FLU) and the severe hospitalized laboratory confirmed influenza system (SHLCI), in regard to how they behave in the forecasting of epidemic onset and severity allowing for healthcare preparedness. Methods Epidemiological study carried out during seven influenza seasons (2010-2017) in Catalonia, with data from influenza sentinel surveillance of primary care physicians reporting ILI along with laboratory confirmation of influenza from systematic sampling of ILI cases and 12 hospitals that provided data on severe hospitalized cases with laboratory-confirmed influenza (SHLCI-FLU). Epidemic thresholds for ILI and SHLCI-FLU (overall) as well as influenza A (SHLCI-FLUA) and influenza B (SHLCI-FLUB) incidence rates were assessed by the Moving Epidemics Method. Results Epidemic thresholds for primary care sentinel surveillance influenza-like illness (PIDIRAC-ILI) incidence rates ranged from 83.65 to 503.92 per 100.000 h. Paired incidence rate curves for SHLCI -FLU / PIDIRAC-ILI and SHLCI-FLUA/ PIDIRAC-FLUA showed best correlation index' (0.805 and 0.724 respectively). Assessing delay in reaching epidemic level, PIDIRAC-ILI source forecasts an average of 1.6 weeks before the rest of sources paired. Differences are higher when SHLCI cases are paired to PIDIRAC-ILI and PIDIRAC-FLUB although statistical significance was observed only for SHLCI-FLU/PIDIRAC-ILI (p-value Wilcoxon test = 0.039). Conclusions The combined ILI and confirmed influenza from primary care along with the severe hospitalized laboratory confirmed influenza data from PIDIRAC sentinel surveillance system provides timely and accurate syndromic and virological surveillance of influenza from the community level to hospitalization of severe cases.
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- 2019