Seasonal Influenza Activity During the SARS-CoV-2 Outbreak in Japan

Sakamoto, Haruka; Ishikane, Masahiro; Ueda, Peter

doi:10.1001/jama.2020.6173

Cited by 286 publications

(300 citation statements)

References 4 publications

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“…This decreases the transmission potential for these diseases by changing the mixing patterns within the host population [ 35 , 80 ]. sd policies motivated by the sars-cov-2 pandemic also reduced the transmission potential of sars-cov-2 as well as other respiratory illnesses [ 81 , 82 ]. A change in human movement patterns can likewise influence the transmission pattern of vector-borne diseases, as evidenced from this study—primarily through changing the host risk of exposure to vectors, but in the opposing direction.…”

Section: Discussionmentioning

confidence: 99%

Impact of sars-cov-2 interventions on dengue transmission

et al. 2020

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An estimated 105 million dengue infections occur per year across 120 countries, where traditional vector control is the primary control strategy to reduce contact between mosquito vectors and people. The ongoing sars-cov-2 pandemic has resulted in dramatic reductions in human mobility due to social distancing measures; the effects on vector-borne illnesses are not known. Here we examine the pre and post differences of dengue case counts in Malaysia, Singapore and Thailand, and estimate the effects of social distancing as a treatment effect whilst adjusting for temporal confounders. We found that social distancing is expected to lead to 4.32 additional cases per 100,000 individuals in Thailand per month, which equates to 170 more cases per month in the Bangkok province (95% CI: 100–242) and 2008 cases in the country as a whole (95% CI: 1170–2846). Social distancing policy estimates for Thailand were also found to be robust to model misspecification, and variable addition and omission. Conversely, no significant impact on dengue transmission was found in Singapore or Malaysia. Across country disparities in social distancing policy effects on reported dengue cases are reasoned to be driven by differences in workplace-residence structure, with an increase in transmission risk of arboviruses from social distancing primarily through heightened exposure to vectors in elevated time spent at residences, demonstrating the need to understand the effects of location on dengue transmission risk under novel population mixing conditions such as those under social distancing policies.

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Section: Discussionmentioning

confidence: 99%

Impact of sars-cov-2 interventions on dengue transmission

et al. 2020

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“…[25] However, seasonal influenza activity was lower in 2020 than in previous years in Japan. [26] It may have been affected by temperature or virulence and by measures taken to constrain the SARS-CoV-2 outbreak. [26] The coinfection of COVID-19 and influenza A reported in Iran also highlighted the importance of considering SARS-CoV-2 PCR assay regardless of positive findings for other pathogens during the epidemic.…”

Section: Ili Surveillance and Potential Of Novel Eidsmentioning

confidence: 99%

“…[26] It may have been affected by temperature or virulence and by measures taken to constrain the SARS-CoV-2 outbreak. [26] The coinfection of COVID-19 and influenza A reported in Iran also highlighted the importance of considering SARS-CoV-2 PCR assay regardless of positive findings for other pathogens during the epidemic. [27] Silverman et al explored how ILI outpatient surveillance data could be used to estimate the prevalence of COVID-19, and they found a surge in noninfluenza ILI above the seasonal average in March 2020 and showed that this surge correlated with COVID-19 across states.…”

Section: Ili Surveillance and Potential Of Novel Eidsmentioning

confidence: 99%

Identifying the outbreak signal of COVID-19 before the response of the traditional disease monitoring system

Dai

Wang

2020

PLoS Negl Trop Dis

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New coronavirus cases and related deaths are continuing to occur worldwide. Early identification of the emergence of novel outbreaks of infectious diseases is critical to the generation of timely responses. We performed a comparative study to determine the feasibility of the early detection of the COVID-19 outbreak in China based on influenza surveillance data and the internet-based Baidu search index to evaluate the timelines of the alert signals compared with the traditional case reporting and response systems. An abnormal increase in the number of influenza-like illnesses (ILI) occurred at least one month earlier than the clinical reports of pneumonia with unknown causes and the conventional monitoring system. The peak of the search volume was 20 days earlier than the issuance of the massive official warning about the epidemic. The findings from this study suggest that monitoring abnormal surges of ILI and identifying peaks of online searches of key terms can provide early signals of novel disease outbreaks. We emphasize the importance of broadening the potential of syndromic surveillance, internet searches, and social media data together with the traditional disease surveillance system to enhance early detection and understanding of emerging infectious diseases. Synopsis Early identification of the emergence of an outbreak of a novel infectious disease is critical to generating a timely response. The traditional monitoring system is adequate for detecting the outbreak of common diseases; however, it is insufficient for the discovery of novel infectious diseases. In this study, we used COVID-19 as an example to compare the delay time of different tools for identifying disease outbreaks. The results showed that both the abnormal spike in influenza-like illnesses and the peak of online searches of key terms could provide early signals. We emphasize the importance of testing these findings and discussing the broader potential to use syndromic surveillance, internet searches, and social media data together with traditional disease surveillance systems for early detection and understanding of novel emerging infectious diseases.

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“…1 A declining trend in influenza following the COVID-19 outbreak has already been indicated in Brazil, Singapore and Japan. [2][3][4] According to the Infectious Diseases Weekly Report Japan, 5 besides influenza, the incidences of Mycoplasma pneumoniae pneumonia, respiratory syncytial virus infection, infectious gastroenteritis, epidemic keratoconjunctivitis and other droplet or contact transmission diseases are also markedly lower than those in the same periods in previous years.…”

mentioning

confidence: 99%