El número reproductivo básico (R0): consideraciones para su aplicación en la salud póblica

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Abstract

Evaluamos el uso en la salud pública del número reproductivo básico (R 0), por el cual se estima la velocidad con que una enfermedad puede propagarse en una población. Estas estimaciones son de gran interés en el campo de la salud pública como quedó de manifiesto en ocasión de la pandemia del 2009 por el virus gripal A (H1N1). Revisamos los métodos usados comúnmente para estimar el R 0, examinamos su utilidad práctica y determinamos la forma en que las estimaciones de este parámetro epidemiológico pueden servir de fundamento para tomar decisiones relativas a las estrategias de mitigación. Por sí solo, el R 0 es una medida insuficiente de la dinámica de las enfermedades infecciosas en las poblaciones; hay otros parámetros que pueden aportar información más útil. No obstante, la estimación del R 0 en una población determinada es útil para entender la transmisión de una enfermedad en ella. Si se considera el R 0 en el contexto de otros parámetros epidemiológicos importantes, su utilidad puede consistir en que permite conocer mejor un brote epidémico y preparar la respuesta de salud pública correspondiente.

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The effect of public health measures on the 1918 influenza pandemic in U.S. cities.

Martin Bootsma, Neil M Ferguson (2007)

During the 1918 influenza pandemic, the U.S., unlike Europe, put considerable effort into public health interventions. There was also more geographic variation in the autumn wave of the pandemic in the U.S. compared with Europe, with some cities seeing only a single large peak in mortality and others seeing double-peaked epidemics. Here we examine whether differences in the public health measures adopted by different cities can explain the variation in epidemic patterns and overall mortality observed. We show that city-specific per-capita excess mortality in 1918 was significantly correlated with 1917 per-capita mortality, indicating some intrinsic variation in overall mortality, perhaps related to sociodemographic factors. In the subset of 23 cities for which we had partial data on the timing of interventions, an even stronger correlation was found between excess mortality and how early in the epidemic interventions were introduced. We then fitted an epidemic model to weekly mortality in 16 cities with nearly complete intervention-timing data and estimated the impact of interventions. The model reproduced the observed epidemic patterns well. In line with theoretical arguments, we found the time-limited interventions used reduced total mortality only moderately (perhaps 10-30%), and that the impact was often very limited because of interventions being introduced too late and lifted too early. San Francisco, St. Louis, Milwaukee, and Kansas City had the most effective interventions, reducing transmission rates by up to 30-50%. Our analysis also suggests that individuals reactively reduced their contact rates in response to high levels of mortality during the pandemic.

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Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility

Duygu Balcan, Hao Hu, Bruno Gonçalves … (2009)

Background On 11 June the World Health Organization officially raised the phase of pandemic alert (with regard to the new H1N1 influenza strain) to level 6. As of 19 July, 137,232 cases of the H1N1 influenza strain have been officially confirmed in 142 different countries, and the pandemic unfolding in the Southern hemisphere is now under scrutiny to gain insights about the next winter wave in the Northern hemisphere. A major challenge is pre-empted by the need to estimate the transmission potential of the virus and to assess its dependence on seasonality aspects in order to be able to use numerical models capable of projecting the spatiotemporal pattern of the pandemic. Methods In the present work, we use a global structured metapopulation model integrating mobility and transportation data worldwide. The model considers data on 3,362 subpopulations in 220 different countries and individual mobility across them. The model generates stochastic realizations of the epidemic evolution worldwide considering 6 billion individuals, from which we can gather information such as prevalence, morbidity, number of secondary cases and number and date of imported cases for each subpopulation, all with a time resolution of 1 day. In order to estimate the transmission potential and the relevant model parameters we used the data on the chronology of the 2009 novel influenza A(H1N1). The method is based on the maximum likelihood analysis of the arrival time distribution generated by the model in 12 countries seeded by Mexico by using 1 million computationally simulated epidemics. An extended chronology including 93 countries worldwide seeded before 18 June was used to ascertain the seasonality effects. Results We found the best estimate R 0 = 1.75 (95% confidence interval (CI) 1.64 to 1.88) for the basic reproductive number. Correlation analysis allows the selection of the most probable seasonal behavior based on the observed pattern, leading to the identification of plausible scenarios for the future unfolding of the pandemic and the estimate of pandemic activity peaks in the different hemispheres. We provide estimates for the number of hospitalizations and the attack rate for the next wave as well as an extensive sensitivity analysis on the disease parameter values. We also studied the effect of systematic therapeutic use of antiviral drugs on the epidemic timeline. Conclusion The analysis shows the potential for an early epidemic peak occurring in October/November in the Northern hemisphere, likely before large-scale vaccination campaigns could be carried out. The baseline results refer to a worst-case scenario in which additional mitigation policies are not considered. We suggest that the planning of additional mitigation policies such as systematic antiviral treatments might be the key to delay the activity peak in order to restore the effectiveness of the vaccination programs.

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Outbreak of 2009 pandemic influenza A (H1N1) at a New York City school.

Derek A. T. Cummings, , Jennifer H Jordan … (2009)

In April 2009, an outbreak of novel swine-origin influenza A (2009 H1N1 influenza) occurred at a high school in Queens, New York. We describe the outbreak and characterize the clinical and epidemiologic aspects of this novel virus. The New York City Department of Health and Mental Hygiene characterized the outbreak through laboratory confirmation of the presence of the 2009 H1N1 virus in nasopharyngeal and oropharyngeal specimens and through information obtained from an online survey. Detailed information on exposure and the onset of symptoms was used to estimate the incubation period, generation time, and within-school reproductive number associated with 2009 H1N1 influenza, with the use of established techniques. From April 24 through May 8, infection with the 2009 H1N1 virus was confirmed in 124 high-school students and employees. In responses to the online questionnaire, more than 800 students and employees (35% of student respondents and 10% of employee respondents) reported having an influenza-like illness during this period. No persons with confirmed 2009 H1N1 influenza or with influenza-like illness had severe symptoms. A linkage with travel to Mexico was identified. The estimated median incubation period for confirmed 2009 H1N1 influenza was 1.4 days (95% confidence interval [CI], 1.0 to 1.8), with symptoms developing in 95% of cases by 2.2 days (95% CI, 1.7 to 2.6). The estimated median generation time was 2.7 days (95% CI, 2.0 to 3.5). We estimate that the within-school reproductive number was 3.3. The findings from this investigation suggest that 2009 H1N1 influenza in the high school was widespread but did not cause severe illness. The reasons for the rapid and extensive spread of influenza-like illnesses are unknown. The natural history and transmission of the 2009 H1N1 influenza virus appear to be similar to those of previously observed circulating pandemic and interpandemic influenza viruses. 2009 Massachusetts Medical Society

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Author and article information

Journal

Title: American Journal of Public Health

Abbreviated Title: Am J Public Health

Publisher: American Public Health Association

ISSN (Print): 0090-0036

ISSN (Electronic): 1541-0048

Publication date Created: December 2018

Publication date (Print): December 2018

Volume: 108

Issue: S6

Pages: S455-S465

Affiliations

[1 ]División de Gripe, Centros para el Control y la Prevención de Enfermedades, Atlanta, Georgia, Estados Unidos de América.

Article

DOI: 10.2105/AJPH.2013.301704s

PMC ID: 6291769

SO-VID: c459c537-144f-48bd-aab7-26b5e7fbf8bf

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El número reproductivo básico (R0): consideraciones para su aplicación en la salud póblica

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Most cited references 22

The effect of public health measures on the 1918 influenza pandemic in U.S. cities.

Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility

Outbreak of 2009 pandemic influenza A (H1N1) at a New York City school.

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