Cholera is a waterborne disease mainly caused by the bacterium Vibrio cholerae. It
has a significant impact on humans, leading to fatalities, especially in third-world
countries with poor sanitation and inadequate water supplies. Variations in climatic
conditions influence the development and survival of Vibrio cholerae, increasing
the risk of cholera outbreaks. This study aims to assess the influence of climate
variability on cholera dynamics in Sumbawanga District, Tanzania. It utilizes
multiple sources of secondary data, including climatological data (rainfall,
maximum and minimum temperatures) from 1994 to 2023, obtained from the
Tanzania Meteorological Authority, and cholera cases from 2010 to 2024, obtained
from the Ministry of Health, Tanzania. The trends and amount of climatological
data were identified by using the Mann-Kendall trend test and the Sens slope
estimator, where the significant fluctuation with a decreasing trend in yearly
average total rainfall and statistical significance with increasing trends were
indicated in both minimum and maximum temperature. Moderate negative
correlation (-0.39) was revealed between rainfall and maximum temperature, while
a strong negative correlation (-0.64) was revealed between rainfall and minimum
temperature. The result indicated a very weak negative relationship between
rainfall and cholera incidence in Sumbawanga District, with a correlation coefficient
of -0.08. The relationship between maximum temperature and cholera incidence
showed a very weak negative correlation of -0.05, while the correlation between
minimum temperature and cholera incidence revealed a strong positive correlation
of 0.82. According to these findings, immediate actions are required to miminize the
effects of cholera related to climate variability. Therefore, policymakers, local
authorities, and development stakeholders should collaborate to alleviate adverse
effects and enhance resilience in vulnerable communities.
Keywords: Cholera, temperature, rainfall, Climatic variability, and correlation