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Projection of HIV infection in Calcutta
A Basu1, S Basu, M S Chakraborty
1Indian Statistical Institute, West Bengal, Calcutta.
The Indian Journal of Medical Research
|May 30, 1998
Summary
This study projects the number of human immunodeficiency virus (HIV) infections in Calcutta between 1992 and 1999. Projections indicate a significant rise in HIV cases, particularly among sex workers and the general population.
Area of Science:
- Epidemiology
- Public Health
- Statistical Modeling
Background:
- Calcutta faces a growing human immunodeficiency virus (HIV) epidemic.
- Accurate projections are crucial for effective public health interventions.
Purpose of the Study:
- To provide the first-ever HIV infection projections for Calcutta from 1992-1999.
- To forecast HIV spread in the general and high-risk populations.
- To develop a novel statistical methodology for HIV projection.
Main Methods:
- Developed a statistical methodology incorporating social interactions and practices.
- Utilized survey and census data for demographic parameters and transmission rates.
- Generated two projection sets: a worst-case scenario and a data-consistent scenario.
Main Results:
- Total projected HIV cases in Calcutta for 1999 range from 49,000 to 126,000.
- Sex workers are projected to have the highest number of new infections.
- The general population shows a faster projected rate of prevalence increase, despite lower overall prevalence.
Conclusions:
- HIV infection poses a significant threat to Calcutta's population.
- Targeted interventions for high-risk groups, especially sex workers, are essential.
- The rapid increase in the general population warrants urgent public health attention.
Keywords:
Acquired Immunodeficiency SyndromeAsiaBehaviorDemographic FactorsDeveloping CountriesDiseasesEpidemicsGeographic FactorsHiv InfectionsHomeless PersonsIncidenceIndiaMeasurementPopulationPopulation CharacteristicsPrevalenceProstitutesResearch MethodologyResearch ReportResidence CharacteristicsSex BehaviorSlumsSouthern AsiaSpatial DistributionUrban PopulationUrban Spatial DistributionUrbanizationViral Diseases