Author Correction: Global Disease Outbreaks Associated with the 2015–2016 El Niño Event

Chrétien, Jean-Paul; Britch, Seth C.; Soebiyanto, Radina P.; Small, Jennifer; Jepsen, R L; Forshey, Brett M.; Sánchez, José L.; Smith, Ryan; Harris, Ryan; Tucker, Compton J.; Karesh, William B.; Linthicum, Kenneth J.

doi:10.1038/s41598-020-73760-3

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“…Climate change has led to an increase in the frequency, intensity, and duration of extreme weather events such as heat waves, droughts, floods, cyclones, and storms. These events directly and indirectly influence the dynamics of infectious diseases through various mechanisms (Anyamba et al., 2020 ). Elevated temperatures can expand the geographical range of disease‐carrying vectors, such as mosquitoes, potentially leading to the transmission of diseases like malaria, dengue, and Zika to previously unaffected regions.…”

Section: Introductionmentioning

confidence: 99%

Short‐Term Effects of Extreme Meteorological Factors on Hand, Foot, and Mouth Disease Infection During 2010–2017 in Jiangsu, China: A Distributed Lag Non‐Linear Analysis

Yang,

Wang,

Zhang

et al. 2024

GeoHealth

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Hand, Foot, and Mouth Disease (HFMD) is an infectious disease that primarily affects young children. In densely populated Jiangsu Province in China, the impact of extreme meteorological factors on HFMD is a concern. We aimed to examine the association between extreme meteorological variables and HFMD infection risk using daily HFMD infections and meteorological data from 2010 to 2017 in Jiangsu Province. We used distributed lag non‐linear model (DLNM) to analyze the data, which can effectively capture the nuanced non‐linear dynamics and lag effects in the relationship between HFMD and extreme meteorological factors. Comparing the 10th and 90th percentiles of meteorological variables with their respective median values, our results showed that extremely low temperatures and high humidity were significantly associated with increased HFMD infection risk. The greatest effect of extremely low temperatures was observed at a lag of 1–2 days, elevating the risk by 18 ∼ 33% (RR = 1.18 ∼ 1.33). Extremely high humidity was found to increase the risk of infection, starting at a lag of 4 days. In contrast, extremely high temperatures, low humidity, and high wind speed were associated with reduced risk of infection at lag of 0–12 days, with the range of RR values being 0.60–0.98 for extremely high temperatures, 0.69–0.89 for extremely low humidity, and 0.84–0.98 for extremely high wind speed respectively. Our findings suggest that extreme meteorological factors can significantly impact the incidence of HFMD in Jiangsu Province, and highlight the need for effective public health protection measures during the periods of extreme meteorological condition, particularly for vulnerable populations.

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Section: Introductionmentioning

confidence: 99%

Short‐Term Effects of Extreme Meteorological Factors on Hand, Foot, and Mouth Disease Infection During 2010–2017 in Jiangsu, China: A Distributed Lag Non‐Linear Analysis

Yang,

Wang,

Zhang

et al. 2024

GeoHealth

View full text Add to dashboard Cite

show abstract

Author Correction: Global Disease Outbreaks Associated with the 2015–2016 El Niño Event

Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Cited by 1 publication

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Short‐Term Effects of Extreme Meteorological Factors on Hand, Foot, and Mouth Disease Infection During 2010–2017 in Jiangsu, China: A Distributed Lag Non‐Linear Analysis

Short‐Term Effects of Extreme Meteorological Factors on Hand, Foot, and Mouth Disease Infection During 2010–2017 in Jiangsu, China: A Distributed Lag Non‐Linear Analysis

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