One-year delayed effect of fog on malaria transmission: a time-series analysis in the rain forest area of Mengla County, south-west China
2008

Fog and Malaria: A Yearly Delay in Impact

publication Evidence: moderate

Author Information

Author(s): Tian Linwei, Bi Yan, Ho Suzanne C, Liu Wenjie, Liang Song, Goggins William B, Chan Emily YY, Zhou Shuisen, Sung Joseph JY

Primary Institution: Chinese University of Hong Kong

Hypothesis

How do weather factors, particularly fog, affect malaria transmission in Mengla County, China?

Conclusion

Fog day frequency is a significant predictor of malaria incidence, with a one-year delayed effect.

Supporting Evidence

  • Fog day frequency in October positively affects malaria incidence in May of the following year.
  • Minimum and maximum temperatures are also significant predictors of malaria incidence.
  • The study used ARIMA models to analyze weather factors and malaria incidence over nearly three decades.

Takeaway

Fog can help mosquitoes breed, which means more malaria cases can happen later. This study found that fog from one year can affect malaria the next year.

Methodology

Ecological time-series analysis using ARIMA models on data from 1971 to 1999.

Limitations

Malaria cases were pooled without detailed data on Plasmodium species, and potential confounding factors were not adjusted for.

Participant Demographics

Population of Mengla County, approximately 0.2 million residents.

Statistical Information

P-Value

p = 0.021 for fog day frequency

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1186/1475-2875-7-110

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication