Evidence map›Paper›PMID 30976192›Full record

ArticleTropical medicine and health2019

Micro-stratification of malaria risk in Nepal: implications for malaria control and elimination.

Komal Raj Rijal, Bipin Adhikari, Nabaraj Adhikari, Shyam Prakash Dumre, Mayur Sharma Banjara, Upendra Thapa Shrestha, Megha Raj Banjara, Nihal Singh, Leonard Ortegea, Bibek Kumar Lal and 2 more

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 4 countries.

Komal Raj Rijal1Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Bipin Adhikari2Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Nabaraj Adhikari1Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Shyam Prakash Dumre3Department of Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.
Mayur Sharma BanjaraWorld Health and Research Centre, Kathmandu, Nepal.
Upendra Thapa Shrestha1Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Megha Raj Banjara1Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Nihal SinghWorld Health Organization (WHO), Country Office, Kathmandu, Nepal.
Leonard Ortegea6Global Malaria Program, World Health Organization Headquarters, Geneva, Switzerland.
Bibek Kumar Lal7Epidemiology and Disease Control Division (EDCD), Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Garib Das Thakur7Epidemiology and Disease Control Division (EDCD), Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
Prakash Ghimire1Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Tribhuvan University · NPMinistry of Health and Population · NPNepal Health Research Council · NPNagasaki University · JPUniversity of Oxford · GBWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundA significant reduction in malaria cases over the recent years in Nepal has encouraged the government to adopt a goal of "malaria-free nation by 2025." Nevertheless, to achieve this goal, it is critical to identify the epidemiological burden of malaria by specific regions and areas for an effective targeted intervention. The main objective of this study was to estimate the risk of malaria at Village Development Committee (VDC) level in Nepal based on disease, vector, parasite, and geography.

methodsIn 2012, the micro-stratification of malaria risk was carried out in 75 districts of Nepal. Instruments such as a questionnaire, case record forms, and guidelines for malaria micro-stratification were developed and pre-tested for necessary adaptations. Village Development Committee (VDC)-wise malaria data were analyzed using exploratory statistics and were stratified by geographical variables that contributed to the risk of malaria. To understand the transmission risk at VDC level, overlay analysis was done using ArcGIS 10. To ensure transparent, reproducible, and comprehensible risk assessment, standard scoring method was selected and utilized for data from 2009 to 2011. Thus identified, three major variables (key determinants) were given weights (wt.) accordingly to stratification of the malaria risk (disease burden, "0.3" wt.; ecology/vector transmission, "0.5" wt.; and vulnerability-population movement, "0.2" wt.). Malaria risk in a VDC was determined based on the overall scores and classified into four categories: no risk, low risk, moderate risk, and high risk.

resultsAnalyzing the overall risk based on scoring of the total VDCs (

conclusionsThe current micro-stratification study provides insights on malaria risk up to the VDC level. This will help the malaria elimination program to target interventions at the local level thereby ensuring the best utilization of available resources to substantially narrowed-down target areas. With further updates and refinement, the micro-stratification approach can be employed to identify the risk areas up to smaller units within the VDCs (ward and villages).

Indexed as

EliminationInterventionMalariaMicro-stratificationNepal

Identifiers

PMID30976192
PMCPMC6437900
OpenAlexW2941476293

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.