Artigo Acesso aberto Revisado por pares

Occupational health impact of the 2009 H1N1 flu pandemic: surveillance of sickness absence

2011; BMJ; Volume: 69; Issue: 3 Linguagem: Inglês

10.1136/oem.2011.065003

ISSN

1470-7926

Autores

Isabel Torá‐Rocamora, George L. Delclos, José Miguel Martı́nez, Josefina Jardí, Constança Albertí, Rafael Manzanera, Yutaka Yasui, Ramón Clèries, Aurelio Tobı́as, Fernando G. Benavides,

Tópico(s)

Occupational Health and Safety Research

Resumo

Objectives Workplace absences due to illness can disrupt usual operations and increase costs for businesses. This study of sickness absence due to influenza and influenza-related illness presents a unique opportunity to characterise and measure the impact of the 2009 (H1N1) pandemic, by comparing trends during the pandemic to those of previous years, and adding this information to that obtained by traditional epidemiological surveillance systems. Methods We compared the numbers of cases of sickness absence due to illness caused by influenza and influenza-related illness in 2007–2009, and in the first 3 months of 2010 in Catalonia (n=811 940) using a time series approach. Trends were examined by economic activity, age and gender. The weekly endemic-epidemic index (EEI) was calculated and its 95% CI obtained with the delta method, with observed and expected cases considered as independent random variables. Results Influenza activity peaked earlier in 2009 and yielded more cases than in previous years. Week 46 (in November 2009) had the highest number of new cases resulting in sickness absence (EEI 20.99; 95% CI 9.44 to 46.69). Women and the ‘education, health and other social activities’ sector were the most affected. Conclusions Results indicate that the new H1N1 pandemic had a significant impact on business, with shifts in the timing of peak incidence, a doubling in the number of cases, and changes in the distribution of cases by economic activity sector and gender. Traditional epidemiological surveillance systems could benefit from the addition of information based on sickness absence data.

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