Unknown

Dataset Information

0

Can Mixed Parasite Infections Thwart Targeted Malaria Elimination Program in India?


ABSTRACT: India is highly endemic to malaria with prevalence of all five species of human malaria parasites of Plasmodium genus. India is set for malaria elimination by 2030. Since cases of mixed Plasmodium species infections remain usually undetected but cause huge disease burden, in order to understand the distributional prevalence of both monospecies infections and mixed species infections in India, we collated published data on the differential infection incidences of the five different malaria parasites based on PCR diagnostic assay. About 11% of total cases were due to mixed species infection. Among several interesting observations on both single and mixed parasitic infections, incidences of Plasmodium falciparum monoinfection were found to be significantly higher than P. vivax monoinfection. Also, P. malariae seems to be emerging as a potential malaria threat in India. Putting all the facts together, it appears that the dream of achieving malaria elimination in India will not be completely successful without dealing with mixed species infection.

SUBMITTER: Singh US 

PROVIDER: S-EPMC5576395 | biostudies-other | 2017

REPOSITORIES: biostudies-other

altmetric image

Publications

Can Mixed Parasite Infections Thwart Targeted Malaria Elimination Program in India?

Singh Upasana Shyamsunder US   Siwal Nisha N   Pande Veena V   Das Aparup A  

BioMed research international 20170816


India is highly endemic to malaria with prevalence of all five species of human malaria parasites of <i>Plasmodium</i> genus. India is set for malaria elimination by 2030. Since cases of mixed <i>Plasmodium</i> species infections remain usually undetected but cause huge disease burden, in order to understand the distributional prevalence of both monospecies infections and mixed species infections in India, we collated published data on the differential infection incidences of the five different  ...[more]

Similar Datasets

| S-EPMC10543053 | biostudies-literature
| S-EPMC4118857 | biostudies-literature
| S-EPMC6987389 | biostudies-literature
| S-EPMC4541720 | biostudies-literature
| S-EPMC9732330 | biostudies-literature
| S-EPMC6030896 | biostudies-literature
| S-EPMC4863626 | biostudies-other
| S-EPMC5863947 | biostudies-literature
2016-02-01 | GSE75593 | GEO
| S-EPMC10754896 | biostudies-literature