Meteorological factors affecting dengue incidence in Davao, Philippines

Iguchi, Jesavel A.; Seposo, Xerxes; Honda, Yasushi

doi:10.1186/s12889-018-5532-4

Cited by 44 publications

(40 citation statements)

References 54 publications

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“…The DLNM was conducted in the study to examine the quantitative relationships and exposurelag-response effects between climate variability and human brucellosis. This model has been effectively adopted to assess the non-linear relationships between meteorological factors and infectious diseases such as dengue, malaria, hand-foot-mouth disease, tuberculosis, and mumps [20][21][22][23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China

et al. 2020

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Background: Brucellosis is a serious public health problem primarily affecting livestock workers. The strong seasonality of the disease indicates that climatic factors may play important roles in the transmission of the disease. However, the associations between climatic variability and human brucellosis are still poorly understood. Methods: Data for a 14-year series of human brucellosis cases and seven climatic factors were collected in Yulin City from 2005 to 2018, one of the most endemic areas in northern China. Using cross-correlation analysis, the Granger causality test, and a distributed lag non-linear model (DLNM), we assessed the quantitative relationships and exposure-lag-response effects between monthly climatic factors and human brucellosis. Results: A total of 7103 cases of human brucellosis were reported from 2005 to 2018 in Yulin City with a distinct peak between April and July each year. Seasonal fluctuations in the transmission of human brucellosis were significantly affected by temperature, sunshine duration, and evaporation. The effects of climatic factors were nonlinear over the 6-month period, and higher values of these factors usually increased disease incidence. The maximum separate relative risk (RR) was 1.36 (95% confidence interval [CI], 1.03-1.81) at a temperature of 17.4°C, 1.12 (95% CI, 1.03-1.22) with 311 h of sunshine, and 1.18 (95% CI, 0.94-1.48) with 314 mm of evaporation. In addition, the effects of these three climatic factors were cumulative, with the highest RRs of 2.27 (95% CI, 1.09-4.57), 1.54 (95% CI, 1.10-2.18), and 1.27 (95% CI, 0.73-2.14), respectively. Conclusions: In Yulin, northern China, variations in climatic factors, especially temperature, sunshine duration, and evaporation, contributed significantly to seasonal fluctuations of human brucellosis within 6 months. The key determinants of brucellosis transmission and the identified complex associations are useful references for developing strategies to reduce the disease burden.

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Section: Discussionmentioning

confidence: 99%

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China

et al. 2020

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show abstract

“…The DLNM was conducted in the study to examine the quantitative relationships and exposure-lag-response effects between climate variability and human brucellosis. This model has been effectively adopted to assess the nonlinear relationships between meteorological factors and infectious diseases such as dengue, malaria, hand-foot-mouth disease, tuberculosis, and mumps [16][17][18][19][20][21].…”

Section: Discussionmentioning

confidence: 99%

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, Northern China

Shao

Liu

Yang

et al. 2019

Preprint

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Background: Brucellosis is a serious public health problem primarily affecting livestock workers. The strong seasonality of the disease indicates that climatic factors may play important roles in the disease transmission. However, the associations between climatic variability and human brucellosis are still poorly understood. Methods: Data for a 14-year series of human brucellosis cases and seven climatic factors were collected in Yulin City from 2005 to 2018, one of the most endemic areas in northern China. Using the cross-correlation analysis, the Granger causality test, and the distributed lag non-linear model (DLNM), we assessed the quantitative relationships and exposure-lag-response effects between monthly climatic factors and human brucellosis. Results: A total of 7,103 cases of human brucellosis were reported from 2005 to 2018 in Yulin City with a distinct peak between April and July. Seasonal fluctuations in the transmission of human brucellosis were significantly affected by temperature, sunshine duration, and evaporation. The effects of climatic factors were non-linear over the 6-month period, and higher values of these factors usually increased disease incidence. The maximum separate relative risk (RR) was 1.36 (95% confidence interval (CI), 1.03–1.81) at a temperature of 17.4 °C, 1.12 (95% CI, 1.03–1.22) with 311 hours of sunshine, and 1.18 (95% CI, 0.94–1.48) with 314 mm of evaporation, respectively. In addition, the effects of these three climatic factors were cumulative, with the highest RR of 2.27 (95% CI, 1.09–4.57), 1.54 (95% CI, 1.10–2.18), and 1.27 (95% CI, 0.73–2.14), respectively. Conclusions: In Yulin, northern China, variations in climatic factors, especially temperature, sunshine duration, and evaporation, contributed significantly to seasonal fluctuations of human brucellosis within 6 months. The key determinants of brucellosis transmission and the identified complex associations are useful references for developing strategies to reduce disease burden.

show abstract

“…The DLNM was conducted in the study to examine the quantitative relationships and exposure-lag-response effects between climate variability and human brucellosis. This model has been effectively adopted to assess the non-linear relationships between meteorological factors and infectious diseases such as dengue, malaria, hand-foot-mouth disease, tuberculosis, and mumps [18][19][20][21][22][23].…”

Section: Discussionmentioning

confidence: 99%

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, Northern China

Liu

Yang

Liang

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

Meteorological factors affecting dengue incidence in Davao, Philippines

Cited by 44 publications

References 54 publications

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, northern China

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, Northern China

Effect of climatic factors on the seasonal fluctuation of human brucellosis in Yulin, Northern China

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