Effects of Climate and Rodent Factors on Hemorrhagic Fever with Renal Syndrome in Chongqing, China, 1997–2008

Bai, Yuntao; Xu, Zhiguang; Lü, Bo; Sun, Qinghua; Tang, Wenge; Yang, Weizhong; Xu, Xinyi; Liu, Qiyong

doi:10.1371/journal.pone.0133218

Cited by 21 publications

(22 citation statements)

References 29 publications

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“…These findings further supported our results. But, our finding is inconsistent with prior findings from studies to explore the relationship between other contagious diseases, such as scarlet fever (in Hong Kong) 65 , human brucellosis (in Hubei province) 22 , and HFRS (in Guangzhou and in Chongqing) 20,72 , and climatic factors. This discrepancy may mainly be owing to the various climatic characteristics of the study regions, along with different methods used to investigate the relevance in the studies.…”

Section: Discussioncontrasting

confidence: 99%

The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004–2018

Wang

Ren

et al. 2020

Sci Rep

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Evidence on the long-term influence of climatic variables on pertussis is limited. This study aims to explore the long-term quantitative relationship between weather variability and pertussis. Data on the monthly number of pertussis cases and weather parameters in Chongqing in the period of 2004–2018 were collected. Then, we used a negative binomial multivariable regression model and cointegration testing to examine the association of variations in monthly meteorological parameters and pertussis. Descriptive statistics exhibited that the pertussis incidence rose from 0.251 per 100,000 people in 2004 to 3.661 per 100,000 persons in 2018, and pertussis was a seasonal illness, peaked in spring and summer. The results from the regression model that allowed for the long-term trends, seasonality, autoregression, and delayed effects after correcting for overdispersion showed that a 1 hPa increment in the delayed one-month air pressure contributed to a 3.559% (95% CI 0.746–6.293%) reduction in the monthly number of pertussis cases; a 10 mm increment in the monthly aggregate precipitation, a 1 °C increment in the monthly average temperature, and a 1 m/s increment in the monthly average wind velocity resulted in 3.641% (95% CI 0.960–6.330%), 19.496% (95% CI 2.368–39.490%), and 3.812 (95% CI 1.243–11.690)-fold increases in the monthly number of pertussis cases, respectively. The roles of the mentioned weather parameters in the transmission of pertussis were also evidenced by a sensitivity analysis. The cointegration testing suggested a significant value among variables. Climatic factors, particularly monthly temperature, precipitation, air pressure, and wind velocity, play a role in the transmission of pertussis. This finding will be of great help in understanding the epidemic trends of pertussis in the future, and weather variability should be taken into account in the prevention and control of pertussis.

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Section: Discussioncontrasting

confidence: 99%

The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004–2018

Wang

Ren

et al. 2020

Sci Rep

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“…In our study, correlation analysis and multiple linear analysis were used to further explore the relationship between environmental factors and HFRS incidence in Anqiu City. Our results showed that there was a negative association between temperature and HFRS incidence in Anqiu City, which was supported by other previous studies [ 24,25]. High temperatures may limit the time available to farmers for outdoor activity and work, thereby reducing the opportunity for contact between people and field mice, which is one of the most common agricultural pests and a natural vector of hantavirus.…”

Section: Discussionsupporting

confidence: 90%

“…High temperatures may limit the time available to farmers for outdoor activity and work, thereby reducing the opportunity for contact between people and field mice, which is one of the most common agricultural pests and a natural vector of hantavirus. In addition, some studies have suggested that the breeding rate of rodents is highest at temperatures of 10-25°C, which are favourable conditions for outdoor activity and work [ 25]. Anqiu City is located in a warm temperate continental monsoon climate zone, and the annual average temperature is 12.2°C.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Heterogeneity Analysis of Haemorrhagic Fever with Renal Syndrome in Anqiu City, China, 2000-2014

Shi

et al. 2019

Preprint

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Background: The purpose of this study was to explore the dynamics of the occurrence of haemorrhagic fever with renal syndrome (HFRS) and find the potential spatiotemporal factors leading to the incidence of HFRS in Anqiu City. Methods: Monthly reported cases of HFRS and climatic data for 2000–2014 in Anqiu City were obtained. An autoregressive integrated moving average (ARIMA) model was used to fit the HFRS incidence prediction model and predict the epidemic trend in Anqiu City. Multiple linear regression method was used to analyze the temporal relationship between HFRS incidence and meteorological factors during the study period. Results: Spatial analysis results indicated that the annualized average incidence at the town level ranged from 2.18 to 6.09 per 100, 000 among 14 towns, and the western towns in Anqiu City exhibited high endemic levels during the study periods. With high validity, the optimal ARIMA (0, 1, 1) × (0, 1, 1)12 model could be used to predict the HFRS incidence in Anqiu City in 2014. The monthly trend in HFRS incidence was negatively associated with temperature and precipitation and positively associated with average wind speed. Multiple linear regression models showed that precipitation and relative wind speed were key climatic factors contributing to the transmission of HFRS. Conclusions: This study provides evidence that the ARIMA model can be used to fit the fluctuations in HFRS frequency in Anqiu City. Our findings add to the knowledge of the role played by climate factors in HFRS transmission in Anqiu City and can assist local health authorities in the development/refinement of a better strategy to prevent HFRS transmission.

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“…It is possible that hantavirus can be infected by inhaling the aerosol and ingesting the food contaminated by the rodent excreta, that is, the virus may transmit through respiratory and digestive tracts [5,8,[10][11][12]. The reason why cleaning spare rooms was the influencing factor might be that the human activities in the All exposure factors were within the previous 1 month prior to disease onset OR Odds ratio, CI Confidence interval spare rooms were infrequent and these rooms were poorly ventilated, which was conducive to rodent reproduction.…”

Section: Discussionmentioning

confidence: 99%

“…Transmission of hantaviruses is thought to occur mainly through contact with infected animal excreta or ingest food contaminated with infected animal excreta (faeces, urine and saliva). Though the aerosol route of infection is undoubtedly the most common means of transmission among rodents and to humans [5,8,[10][11][12], virus transmission by bite occurs among rodents and may also result in human infection [8].…”

Section: Introductionmentioning

confidence: 99%

A case-control study on the risk factors for hemorrhagic fever with renal syndrome

et al. 2020

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Background: Hemorrhagic fever with renal syndrome (HFRS) is an endemic communicable disease in China, accounting for 90% of total reported cases worldwide. In this study, the authors want to investigate the risk factors for HFRS in recent years to provide the prevention and control advices. Methods: A community-based, 1:2 matched case-control study was carried out to investigate the risk factors for HFRS. Cases were defined as laboratory-confirmed cases that tested positive for hantavirus-specific IgM antibodies. Two neighbourhood controls of each case were selected by sex, age and occupation. Standardized questionnaires were used to collect information and identify the risk factors for HFRS. Results: Eighty-six matched pairs were investigated in the study. The median age of the cases was 55.0 years, 72.09% were male, and 73.26% were farmers. In the multivariate logistic regression analysis, cleaning spare room at home (OR = 3.310, 95%CI 1.335-8.210) was found to be risk factor for infection; storing food and crops properly (OR = 0.279 95%CI 0.097-0.804) provided protection from infection. Conclusion: Storing food and crops properly seemed to be protective factor, which was important for HFRS prevention and control. More attention should be paid to promote comprehensive health education and behaviour change among high-risk populations in the HFRS endemic area.

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Effects of Climate and Rodent Factors on Hemorrhagic Fever with Renal Syndrome in Chongqing, China, 1997–2008

Cited by 21 publications

References 29 publications

The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004–2018

The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004–2018

Spatiotemporal Heterogeneity Analysis of Haemorrhagic Fever with Renal Syndrome in Anqiu City, China, 2000-2014

A case-control study on the risk factors for hemorrhagic fever with renal syndrome

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