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The relationship between climate change and vector-borne diseases in Adamawa State

  • Project Research
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  • NGN 5000

Background of the Study
Climate change is reshaping disease transmission dynamics across the globe, particularly influencing the spread of vector-borne diseases. In Adamawa State, shifts in temperature, precipitation patterns, and humidity levels have created environments that are increasingly favorable for vectors such as mosquitoes, ticks, and flies. These changes are directly linked to a rise in vector-borne diseases such as malaria, dengue fever, and yellow fever. The altered climate not only affects the breeding cycles and survival rates of these vectors but also expands their geographical range, thereby exposing larger segments of the population to infection (Bello, 2023).

Recent empirical studies suggest that climate change acts as a catalyst in modifying the habitats of disease vectors, leading to increased transmission rates. In Adamawa State, the warming climate has led to longer transmission seasons and an upsurge in vector populations, which in turn correlates with higher incidences of vector-borne diseases. Additionally, human factors such as urbanization, deforestation, and changes in land use further exacerbate the risk by disrupting natural ecosystems and creating new vector breeding sites (Oke, 2024). This evolving scenario places significant strain on the public health system, particularly in rural areas where healthcare services are often limited.

This study aims to investigate the complex relationship between climate change and the prevalence of vector-borne diseases in Adamawa State. It will integrate climate data, epidemiological records, and ecological assessments to provide a comprehensive understanding of how climatic variables influence vector dynamics and disease transmission. The research will also examine the role of socio-economic factors, such as housing quality and community awareness, in moderating the impact of climate change on vector-borne disease outbreaks. Such an integrated approach is essential for developing targeted public health interventions and adaptation strategies that can mitigate the adverse effects of climate change (Chukwu, 2025).

By addressing these issues, the study seeks to inform policy decisions and public health planning in Adamawa State. Improved understanding of the climate–vector–disease nexus is critical to designing early warning systems and implementing preventive measures that can reduce disease incidence and improve community resilience in the face of climate variability.

Statement of the Problem
Adamawa State is witnessing a disturbing increase in vector-borne diseases, a trend that appears to be closely linked to ongoing climate change. Despite efforts to control disease vectors, the state continues to experience recurrent outbreaks of malaria, dengue fever, and other vector-borne illnesses. The current public health interventions have not fully accounted for the dynamic nature of vector ecology in a changing climate, resulting in persistent disease burdens (Ibrahim, 2023).

Several factors contribute to this problem. Climate change has extended the breeding season and expanded the habitats of vectors, while rapid urbanization and deforestation have disrupted traditional ecosystems, leading to the creation of new vector habitats. Additionally, limited public awareness and inadequate healthcare infrastructure compound the issue, particularly in rural and peri-urban areas. The lack of integrated surveillance systems that connect climatic data with epidemiological trends further hampers timely and effective responses to outbreaks (Adamu, 2024).

There is an urgent need for a comprehensive study that examines the causal relationship between climate change and the spread of vector-borne diseases in Adamawa State. Without such research, policymakers and public health officials may continue to rely on outdated control strategies that fail to address the underlying drivers of disease transmission. This study aims to fill this gap by providing robust empirical evidence that links climatic factors with vector proliferation and disease incidence. The outcomes of this research will be critical in guiding the development of adaptive health strategies, improving vector control programs, and ultimately reducing the public health impact of climate change in the region.

Objectives of the Study

  1. To analyze the correlation between climatic variables and the incidence of vector-borne diseases in Adamawa State.
  2. To assess the impact of environmental changes on vector populations and disease transmission dynamics.
  3. To propose effective public health interventions and adaptive strategies to mitigate vector-borne disease outbreaks.

Research Questions

  1. How do changes in temperature, rainfall, and humidity affect vector populations in Adamawa State?
  2. What is the relationship between climate change and the incidence of vector-borne diseases?
  3. Which interventions can effectively reduce the burden of vector-borne diseases in a changing climate?

Research Hypotheses

  1. Increased temperature and altered rainfall patterns are significantly associated with higher vector populations.
  2. There is a positive correlation between climate change indicators and the incidence of vector-borne diseases.
  3. Implementing integrated vector control measures will significantly reduce disease incidence in Adamawa State.

Scope and Limitations of the Study
The study will focus on selected districts in Adamawa State with high reported cases of vector-borne diseases. It will employ climatic, epidemiological, and ecological data. Limitations include data reliability challenges, potential confounding factors, and the difficulty of attributing disease trends solely to climate change.

Definitions of Terms

  • Vector-Borne Diseases: Illnesses transmitted by vectors such as mosquitoes, ticks, and other insects.
  • Climate Change Indicators: Variables such as temperature, precipitation, and humidity that signal long-term changes in climate.
  • Epidemiology: The study of the distribution and determinants of health-related states in populations.




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