Plasmodium mono and mixed-infections in India: a tale of see-saw in species misidentification

These findings suggest that we are overestimating <i>P. falciparum</i> burden, potentially wasting elimination resources, and underestimating non-falciparum species. The study also addresses an important issue concerning analysis of misidentification and sub-microscopic infection data. It proposes an analysis approach that is expected to help in deciphering misidentification and sub-microscopic infections in a more granular manner, generating actionable data for countries targeting malaria elimination.

Authors

Institutions

Publication Details

Journal
Frontiers in Cellular and Infection Microbiology
Published
2026-01-02
DOI
https://doi.org/10.3389/fcimb.2025.1695062
Citations
1
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
41.85

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Plasmodium mono and mixed-infections in India: a tale of see-saw in species misidentification

Nimita Deora, Anil K. Sinha, V. P. Pande
1 citations
Frontiers in Cellular and Infection Microbiology
Malaria Research and Control
41.85
article

Plasmodium mono and mixed-infections in India: a tale of see-saw in species misidentification

Nimita Deora, Anil K. Sinha, V. P. Pande
article en
1 citations

Abstract

These findings suggest that we are overestimating <i>P. falciparum</i> burden, potentially wasting elimination resources, and underestimating non-falciparum species. The study also addresses an important issue concerning analysis of misidentification and sub-microscopic infection data. It proposes an analysis approach that is expected to help in deciphering misidentification and sub-microscopic infections in a more granular manner, generating actionable data for countries targeting malaria elimination.

Frontiers in Cellular and Infection MicrobiologyVol. 15
Kumaun University (IN), Indian Council of Medical Research (IN), National Institute of Malaria Research (IN), Academy of Scientific and Innovative Research (IN)
Indian Council of Medical Research
Openalex Percentile: Top 2%
Malaria Research and Control
41.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.