MODULE 8 Ecology of Vector-Borne Diseases Notes
Vector-Borne Infectious Diseases
Involve a causative agent, usually a microorganism, directly causing the disease in the host.
Examples of causative agents:
Parasites
Bacteria
Viruses
Vectors and Transmission
The vector is a living organism, typically an insect, involved in disease transmission.
Transmission cycle components:
An intermediate host organism
A reservoir population of organisms (maintaining the agent)
Ecology and Vector-Borne Diseases
GIS (Geographic Information System) applications model aspects of human-animal-vector interactions within an ecological system.
Ecological systems are transforming due to:
New technologies in production and transportation
Human population pressure
Climate change
Changes in land use
Changes in vegetation cover
Changes in species and species location
Examples of Vector-Borne Diseases
West Nile Virus
Malaria
Dengue
Lyme Disease
Hanta Virus
Yellow Fever
West Nile Fever: Global Distribution
Endemic or potentially endemic in 83 countries (according to www.GIDEONonline.com data).
Annual disease rates per 100,000 population vary by region.
Malaria: Global Distribution
Control efforts have varying contributions to global deaths (www.GIDEONonline.com data).
Categories include:
High contribution to global deaths
Low contribution to global deaths
Elimination (pre-elimination and elimination)
Malaria-free (prevention of reintroduction and malaria-free)
Global Mortality Estimates from Vector-Borne Diseases
Mortality rates vary globally, with some regions experiencing much higher death rates per million.
Distribution of Mortality by WHO Region
Most vector-borne diseases are concentrated in tropical and subtropical regions.
The burden is greatest in developing countries.
Mortality estimates for major vector-borne diseases are provided in thousands for each region.
Surveillance and Mapping
Surveillance methods:
Human case surveillance (often relies on human reports).
Animal surveillance (limited by spatial biases).
Wildlife surveillance (e.g., rabies).
Livestock surveillance (e.g., Rift Valley fever).
Vector surveillance
Temporal and Spatial Integration of Surveillance Data
GIS is effective for integrating data temporally and spatially.
Applications include:
Understanding regional variation in vectors and diseases.
Modeling vector-borne diseases.
Understanding ecological processes in transmission.
Identifying endemic areas.
GIS Analysis
GIS analysis facilitates:
Mapping likely distribution of vectors and hosts.
Evaluating environmental characteristics of observed cases.
Assessing likely impacts of global climate change.
Provides vital information for public health stakeholders.
Climate Change and Vector-Borne Diseases
Weather factors influencing vector-borne diseases:
Temperature
Humidity
Surface water
Wind speed
Precipitation
Most impactful in tropical and subtropical regions.
Temporal Trajectory of Temperature in Ghana
A study from 1900-2009 shows temperature trends in ten regions of Ghana (Adu-Prah & Tetteh, Applied Geography, 60:266-273).
Temporal Trajectory of Rainfall in Ghana
Data from 1900-2009 showing 30-year regional rainfall patterns in Ghana (Applied Geography, 60:266-273).
Regional Cumulative Malaria Prevalence in Ghana (1995-2006)
Visualization of malaria prevalence across different regions, with prevalence rates per 100,000 population.
Regional Spatiotemporal Malaria Prevalence in Ghana (1995-2006)
Maps illustrating malaria prevalence variations across regions of Ghana from 1995 to 2006 (Applied Geography, 60:266-273).