Surveillance based estimation of burden of malaria in India, 2015–2016

Autor: Himanshu K. Chaturvedi, Arvind Pandey, Mantoshkumar S. Malhotra, Ajeet Kumar Mohanty, Ashwani Kumar, Surya K. Sharma
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
0302 clinical medicine
Health care
Prevalence
030212 general & internal medicine
Malaria
Falciparum
Child
Aged
80 and over
Test positivity rate
education.field_of_study
biology
Incidence (epidemiology)
Incidence
Middle Aged
Malaria burden
Infectious Diseases
Child
Preschool
Population Surveillance
Epidemiological Monitoring
Female
Adult
medicine.medical_specialty
lcsh:Arctic medicine. Tropical medicine
Adolescent
lcsh:RC955-962
Plasmodium falciparum
030231 tropical medicine
Population
India
lcsh:Infectious and parasitic diseases
Young Adult
03 medical and health sciences
Estimation of cases
Environmental health
parasitic diseases
Malaria
Vivax
medicine
Humans
lcsh:RC109-216
education
Aged
Estimation
business.industry
Research
Public health
Infant
Newborn
Infant
medicine.disease
biology.organism_classification
API
Deaths
Tropical medicine
Parasitology
Plasmodium vivax
business
Malaria
Zdroj: Malaria Journal, Vol 19, Iss 1, Pp 1-12 (2020)
Malaria Journal
ISSN: 1475-2875
DOI: 10.1186/s12936-020-03223-7
Popis: Background India has launched the malaria elimination initiative in February 2016. Studies suggest that estimates of malaria are useful to rationalize interventions and track their impact. Hence, a national study was launched to estimate burden of malaria in India in 2015. Methods For sampling, all 624 districts of India were grouped in three Annual Parasite Incidence (cases per thousand population) categories, five (high) API. Using probability proportional to size (PPS) method, two districts from each stratum were selected covering randomly 200,000 persons per district. Active surveillance was strengthened with 40 trained workers per study district. Data on malaria cases and deaths was collated from all health care providers i.e. pathological laboratories, private practitioners and hospitals in private and public health sectors and was used for analysis and burden estimation. Results Out of 1215,114 population under surveillance, 198,612 (16.3%) tests were performed and 19,386 (9.7%) malaria cases were detected. The malaria cases estimated in India were 3875,078 (95% confidence interval 3792,018–3958,137) with API of 3.05 (2.99–3.12) including 2789,483 (2740,577–2838,389) Plasmodium falciparum with Annual Falciparum Incidence of 2.2 (2.16–2.24). Out of 8025 deaths investigated, 102 (1.27%) were attributed to malaria. The estimated deaths in India were 29,341 (23,354–35,327) including 19,067 (13,665–24,470) confirmed and 10,274 (7694–12,853) suspected deaths in 2015–2016. Conclusions Estimated malaria incidence was about four folds greater than one million reported by the national programme, but three folds lesser than thirteen million estimated by the World Health Organization (WHO). However, the estimated deaths were 93 folds more than average 313 deaths reported by the national malaria programme in 2015–2016. The 29,341 deaths were comparable with 24,000 deaths in 2015 and 22,786 deaths in 2016 estimated by the WHO for India. These malaria estimates can serve as a benchmark for tracking the success of malaria elimination campaign in India.
Databáze: OpenAIRE
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