A time-trend ecological study for identifying flood-sensitive infectious diseases in Guangxi, China from 2005 to 2012

Ding, Guoyong; Li, Xiaomei; Li, Xuewen; Zhang, Baofang; Jiang, Baofa; Liu, Dong; Xing, Weijia; Liu, Qiyong; Liu, Xuena; Hou, Haifeng

doi:10.1016/j.envres.2019.108577

Cited by 13 publications

(13 citation statements)

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“…For example, a prolonged dry period with no or rare precipitation is more likely to trigger drought events due to severe lack of rainfall, on the contrary, long-term continuous rainy days are prone to induce flood events attributable to large rainfall totals Wu and Chen, 2019). What's more, these long-lasting extreme precipitation events are more particularly relevant to meteorological disasters as well as secondary and derivative disasters (Li et al, 2012;Huang et al, 2017), which pose a serious threat facing natural ecosystems and human society (Aguilera et al, 2019;Ding et al, 2019), and thus consequently being attached widespread attentions among scientist, stakeholders and decision makers during the last few decades. Therefore, analysis of variation and its causes in consecutive dry/wet days is beneficial to climate disaster risk management as well as climate mitigation and adaptation (Singh et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Wang

Hou

Zhao

2021

Atmospheric Research

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Section: Introductionmentioning

confidence: 99%

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Wang

Hou

Zhao

2021

Atmospheric Research

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“…Other diseases included: Japanese encephalitis (8 studies ( Balaraman et al 2005 ; Chen et al 2012 ; Ding et al 2019 ; Gao et al 2016 ; Knope et al 2013 ; Rattanavong et al 2020 ; Singh et al 2020 ; Zhang et al 2016 )), Murray Valley Encephalitis (8 studies ( Anderson, 1954 ; Anderson et al 1958 ; Anyamba et al 2014 ; Broom et al 2003 ; Cordova et al 2000 ; Doggett et al 2001 ; Knope et al 2013 ; Selvey et al 2014 )), Barmah Forest virus (2 studies ( Doggett et al 2001 ; Knope et al 2013 )), Ross River virus (4 studies ( Doggett et al 2001 ; Knope et al 2013 ; McDonnell et al 1994 ; Tall and Gatton 2020 )), Rift Valley Fever (12 studies ( Anyamba et al 2009 , 2012 , 2014 ; Caminade et al 2014b ; Chretien et al 2008 ; El Mamy et al 2011 ; Gudo et al 2016 ; Linthicum et al 1999 , 2010 ; McCarthy et al 1996 ; Nderitu et al 2011 ; Sow et al 2014 )), West Nile (or Kunjin) virus (13 studies ( Beatty et al 2007 ; Broom et al 2003 ; Caillouët et al 2008 ; Cordova et al 2000 ; Doggett et al 2001 ; Harrison et al 2009 ; Hubálek et al 2000 , 2005; Knope et al 2013 ; Lehman et al 2007 ; McCarthy et al 1996 ; Mori et al 2018 ; Soverow et al 2009 )), Western Equine Encephalitis (4 studies ( Anders et al 1994 ; Gilliland et al 1995 ; Nasci and Moore 1998 ; Reeves et al 1964 )), Eastern Equine Encephalitis (2 studies (...…”

Section: Resultsmentioning

confidence: 99%

“…2000 ). Another study in Guangxi, China, investigated changes in 39 diseases in a surveillance system following 10-d periods in which a flood was determined to be present or absent by the Yearbooks of Meteorological Disasters in China and Chinese Agrimeteorological Disasters Information Database; floods were not found to have an impact on malaria incidence at any lag period, but the incidence in the area was relatively low at an annual average of 0.219 per 100,000 ( Ding et al. 2019 ).…”

Section: Resultsmentioning

confidence: 99%

“…2016 ). A third case-crossover analysis studying JE cases after floods in Guangxi, China, reported that the strongest relationship overlapped with the 10-d blocks identified dichotomously as having a flood or not (classified as the acute period) and reported a statistically significant increase in case incidence (multivariate adjusted

, 95% CI: 1.119, 4.865) ( Ding et al. 2019 ).…”

Section: Resultsmentioning

confidence: 99%

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The Complex Epidemiological Relationship between Flooding Events and Human Outbreaks of Mosquito-Borne Diseases: A Scoping Review

Coalson

Anderson

Santos

et al. 2021

Environ Health Perspect

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Background: Climate change is expected to increase the frequency of flooding events. Although rainfall is highly correlated with mosquito-borne diseases (MBD) in humans, less research focuses on understanding the impact of flooding events on disease incidence. This lack of research presents a significant gap in climate change–driven disease forecasting. Objectives: We conducted a scoping review to assess the strength of evidence regarding the potential relationship between flooding and MBD and to determine knowledge gaps. Methods: PubMed, Embase, and Web of Science were searched through 31 December 2020 and supplemented with review of citations in relevant publications. Studies on rainfall were included only if the operationalization allowed for distinction of unusually heavy rainfall events. Data were abstracted by disease (dengue, malaria, or other) and stratified by post-event timing of disease assessment. Studies that conducted statistical testing were summarized in detail. Results: From 3,008 initial results, we included 131 relevant studies (dengue , malaria , other MBD ). Dengue studies indicated short-term ( ) decreases and subsequent (1–4 month) increases in incidence. Malaria studies indicated post-event incidence increases, but the results were mixed, and the temporal pattern was less clear. Statistical evidence was limited for other MBD, though findings suggest that human outbreaks of Murray Valley encephalitis, Ross River virus, Barmah Forest virus, Rift Valley fever, and Japanese encephalitis may follow flooding. Discussion: Flooding is generally associated with increased incidence of MBD, potentially following a brief decrease in incidence for some diseases. Methodological inconsistencies significantly limit direct comparison and generalizability of study results. Regions with established MBD and weather surveillance should be leveraged to conduct multisite research to a ) standardize the quantification of relevant flooding, b ) study nonlinear relationships between rainfall and disease, c ) report outcomes at multiple lag periods, and d ) investigate interacting factors that modify the likelihood and severity of outbreaks across different settings. https://doi.org/10.1289/EHP8887

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“…Weather disasters in China are causing billions of Chinese Yuan of damage, and significant loss of life [7]. Every year, in various regions across China, droughts, floods, landslides, or other weather disasters caused death, destruction, and significant agricultural losses [7][8][9][10][11][12][13][14]. Over the past several decades, extreme weather events have become increasingly frequent and severe.…”

Section: Introductionmentioning

confidence: 99%

Human–Environment Natural Disasters Interconnection in China: A Review

Ali

Kuriqi

Kisi³

2020

Climate

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This study aimed to assess the interrelationship among extreme natural events and their impacts on environments and humans through a systematic and quantitative review based on the up-to-date scientific literature. Namely, the main goal was to add additional knowledge to the existing evidence of the impacts related to floods, droughts, and landslides on humans and the environment in China; this in order to identify knowledge gaps in research and practice to aid in improving the adaptation and mitigation measures against extreme natural events in China. In this study, 110 documents were analyzed in the evaluation of several impacts triggered by extreme events. Records were obtained from Scopus and Web of Science and examined with a text mining instrument to assess the pattern of publications over the years; the problems linked to extreme weather events were investigated, and the study gaps were discussed. This paper extends work by systematically reviewing recent evidence related to floods, droughts, and landslides in China. We listed the critical studies that focused on the impact of extreme events on both humans and the environment described in current reviews. The findings revealed that goods safety, social safety, and financial losses are of significant concern to the scientific community due to extreme natural events, which from our analysis resulted in being more frequent and intense. It is still underdeveloped to implement distant sensing and imaging methods to monitor and detect the impact of severe weather occurrences. There are still significant study gaps in the fields of the effects of extreme weather events. The analysis result shows that extreme events are increased during the time, so more in-depth investigation and efforts on adaptation, mitigation measures, and strategical governance plans are desperately required.

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A time-trend ecological study for identifying flood-sensitive infectious diseases in Guangxi, China from 2005 to 2012

Cited by 13 publications

References 50 publications

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

The Complex Epidemiological Relationship between Flooding Events and Human Outbreaks of Mosquito-Borne Diseases: A Scoping Review

Human–Environment Natural Disasters Interconnection in China: A Review

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