The impact of temperature and humidity measures on influenza A (H7N9) outbreaks—evidence from China

Zhang, Yi; Feng, Cindy; Ma, Caiyun; Yang, Peng; Tang, Song; Lau, Abby; Sun, Wenjie; Wang, Quanyi

doi:10.1016/j.ijid.2014.11.010

Cited by 38 publications

(34 citation statements)

References 13 publications

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“…Our results can impact the poultry market reducing the number of cases of H7N9, this coincide with Xu et al (2013) and with Yu et al (2014). We coincide with Tsuchihashi et al (2011), Herrick et al (2013), and Zhang et al (2015), because temperature influences the high risk of infection.…”

Section: Totalsusceptiblessupporting

confidence: 89%

“…In our paper no significant correlation was found with the relative humidity with the susceptibility, this coincide with Zhang et al (2015) in which the relative humidity do not influence in the appearance of the virus on influenza A (H7N9), the humidity is usually regarded as a factor impacting on the transmission of diseases, that are transmitted by droplets or aerosols according to Koep et al (2013) and Jaakkola et al (2014). Our results can impact the poultry market reducing the number of cases of H7N9, this coincide with Xu et al (2013) and with Yu et al (2014).…”

Section: Totalsusceptiblessupporting

confidence: 62%

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Impacto de la temperatura en la presencia de infecciones respiratorias de aves en un país tropical

Duarte¹,

Rodríguez²,

Iannacone

et al. 2017

Biotempo

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En el trabajo se utilizó la información retrospectiva para obtener los datos estadísticos de la epizootiología de los susceptibles y de las muertes de las infecciones por gripe aviar, de la provincia Villa Clara, Cuba en el período 2005-2007. Estos datos fueron correlacionados con el promedio de temperaturas correspondiente a este período en esta provincia. El total de muertes fue correlacionado con el total de las susceptibles; estas últimas se correlacionaron a cambio con las temperaturas provinciales. Para el procesamiento de la información, se utilizó el modelo de Promedios Autoregresivos Integrados (ARIMA) de la Metodología Box-Jenkins. Se emplearon también las técnicas de regresión multivariada para modelar el total de muertes de las aves. El modelo final ARIMA expresó un incremento de 1°C de temperatura, lo cual significó un incremento de 53,37 muertes. También se utilizó un 95 % de valor de probabilidad. Este trabajo permite corroborar y cuantificar el impacto de la temperatura media en las susceptibles y en las muertes de las aves en el área de estudio. Se obtuvo que con 1ºC de temperatura media mensual, se pueda esperar un incremento de 8894 casos susceptibles y como estos incrementan en 1000 las muertes, se incrementan en 6 aves, por lo que las susceptibles para 0,06 serán las mismas aproximadamente al total de muertes.

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Section: Totalsusceptiblessupporting

confidence: 89%

Section: Totalsusceptiblessupporting

confidence: 62%

Impacto de la temperatura en la presencia de infecciones respiratorias de aves en un país tropical

Duarte¹,

Rodríguez²,

Iannacone

et al. 2017

Biotempo

View full text Add to dashboard Cite

show abstract

“…. In human influenza outbreaks, seasonal patterns of IAV transmission have been associated with climatic and environmental factors, particularly low humidity and low temperatures . Although our data are suggestive of a similar mechanism, additional epidemiologic and experimental studies that determine the relationship between IAV in swine and climatic and environmental conditions such as temperature and humidity are necessary.…”

Section: Discussionmentioning

confidence: 56%

“…In human influenza outbreaks, seasonal patterns of IAV transmission have been associated with climatic and environmental factors, [38][39][40] particularly low humidity and low temperatures. 41,42 Although our data are suggestive of a similar mechanism, additional epidemiologic and experimental studies that determine the relationship between IAV in swine and climatic and environmental conditions such as temperature and humidity are necessary. A five-year active IAV surveillance study in a single production system demonstrated a negative correlation between herd-level IAV prevalence found in one month to the absolute humidity and outdoor air temperature found in the prior 0-3 months.…”

Section: Discussionmentioning

confidence: 65%

Regional patterns of genetic diversity in swine influenza A viruses in the United States from 2010 to 2016

Walia

Anderson

Vincent

2019

Influenza Resp Viruses

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“…As for H7N9, both daily minimum and daily maximum temperatures have been reported to contribute significantly to human infection, but not relative humidity [22]. Other meteorological factors have not been reported.…”

Section: Discussionmentioning

confidence: 99%

Significantly elevated number of human infections with H7N9 virus in Jiangsu in eastern China, October 2016 to January 2017

Xiang

Chen²,

et al. 2017

Eurosurveillance

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Since first identified in 2013, the H7N9 virus has caused several waves of human infections in China, with a current wave including a number of patients with very severe disease. Jiangsu is one of the most impacted provinces, whereby as of 31 January 2017, the number of human infections (n = 109) in the ongoing fifth H7N9 wave has exceeded the sum of those in the four preceding ones. Ten of 13 cities in Jiangsu have been affected, and clustered infections as well as one co-infection with seasonal influenza have been observed. With a median age of 58 years and 74.3% (81/109) of patients being male, the characteristics of cases are similar to those in previous waves, however patients with H7N9 seem to have an accelerated disease progression. Preliminary case fatality remains above 30%. No significant viral mutations have been found in key functional loci. Environmental H7N9 detection rate and number of days with high risk ambient temperatures were both significantly elevated during the month of December 2016 when most human infections were reported. A number of municipal governments in Jiangsu have implemented live poultry market closures to impede viral transmission to humans. A detectable decline in human infections has been observed in these municipalities and the entire province since January 2017.

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The impact of temperature and humidity measures on influenza A (H7N9) outbreaks—evidence from China

Cited by 38 publications

References 13 publications

Impacto de la temperatura en la presencia de infecciones respiratorias de aves en un país tropical

Impacto de la temperatura en la presencia de infecciones respiratorias de aves en un país tropical

Regional patterns of genetic diversity in swine influenza A viruses in the United States from 2010 to 2016

Significantly elevated number of human infections with H7N9 virus in Jiangsu in eastern China, October 2016 to January 2017

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