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https://doi.org/10.1186/s12936-018-2230-8

has been cited by the following article:

• TITLE: Modeling the Influence of Climate Factors on Malaria Transmission Dynamics in North Kordofan State, Sudan

  AUTHORS: Hamid H. Hussien

  KEYWORDS: Malaria Transmission, Climatic Factors, North Kordofan, Sudan

  JOURNAL NAME: Advances in Infectious Diseases, Vol.10 No.5, October 16, 2020

  ABSTRACT: Background: Despite great efforts by the government to control malaria in Sudan, the disease is the most significant human disease and was widespread in North Kordofan State. Morbidity and mortality of the disease are increasing in the State. Usually, the disease reached its peak after rainy season. This study aims to estimate the role of climate factors on malaria transmission dynamic by modeling the relationship between malaria cases and climatic variables, such as rainfall, relative humidity, and temperature, in Kordofan State. Methods: We used Pearson correlation coefficient and an ordinary least square method to assess this relationship. Results: The results show that there are statistically significant associations between malaria cases and rainfall, relative humidity, and minimum temperature (P-value Conclusion: The results of this study suggest that climatic factors have potential use for malaria prediction in the State.