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Published on: November 10, 2015
Climate parameter and malaria association in north-east India
K C Gouda1, Nikhilasuma Pernaje1, Mahendra Benke1
1CSIR Fourth Paradigm Institute, Wind Tunnel Road, Bangalore, 560037 India.
Climate variables significantly impact malaria incidence in Northeast India. Maximum temperature and soil moisture show strong correlations, particularly in Arunachal Pradesh, Meghalaya, Tripura, and Nagaland.
Area of Science:
- Environmental Science
- Epidemiology
- Climate Science
Background:
- Malaria remains a significant public health concern in Northeast India.
- Understanding the influence of climate on malaria transmission is crucial for effective control strategies.
Purpose of the Study:
- To investigate the relationship between climatological variables and malaria incidence in Northeast India.
- To quantify the state-wise correlation between climate parameters and malaria cases.
- To assess the impact of climate variability and large-scale oscillations on malaria transmission.
Main Methods:
- Time-series analysis of meteorological data (rainfall, temperature, humidity, soil moisture).
- State-wise correlation analysis between climate variables and malaria incidence.
- Regression analysis to determine the impact of climate on malaria.
- Analysis of Variance (ANOVA) modeling.
- Case study on the influence of El Niño-Southern Oscillation (ENSO).
Main Results:
- Malaria incidence is significantly correlated with maximum temperature and soil moisture in specific NE Indian states.
- Maximum and mean temperatures exhibit a positive correlation, while minimum temperature and relative humidity show a negative correlation with malaria.
- Regional climate exerts the most significant impact on malaria incidence in Arunachal Pradesh, Meghalaya, Tripura, and Nagaland.
- Regression and ANOVA models confirm a significant climate-malaria relationship in these four states.
Conclusions:
- Climatological factors, especially temperature and soil moisture, play a critical role in malaria dynamics in Northeast India.
- The findings highlight the importance of climate-informed public health interventions for malaria control.
- El Niño-Southern Oscillation can serve as a valuable predictor for malaria outbreaks in the region.
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