Article published on BMC
Rijal
et al. Tropical Medicine and Health (2019)
47:21 https://doi.org/10.1186/s41182-019-0148-7
Micro-stratification of malaria risk in Nepal: implications for
malaria control and elimination
Komal Raj Rijal1, Bipin Adhikari2, Nabaraj
Adhikari1, Shyam Prakash Dumre3, Mayur Sharma Banjara4,
Upendra Thapa Shrestha1, Megha Raj Banjara1, Nihal Singh5,
Leonard Ortegea6, Bibek Kumar Lal7, Garib Das Thakur7
and Prakash Ghimire1,5*
1Central
Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal
2Centre for
Tropical Medicine and Global Health, Nuffield Department of Medicine,
University of Oxford, Oxford, UK.
3Department of
Immunogenetics, Institute of Tropical Medicine (NEKKEN), Nagasaki University,
Nagasaki, Japan.
4World Health
and Research Centre, Kathmandu, Nepal.
5World
Health Organization (WHO), Country Office, Kathmandu, Nepal
6Global
Malaria Program, World Health Organization Headquarters, Geneva, Switzerland.
7Epidemiology
and Disease Control Division (EDCD), Department of Health Services, Ministry of
Health and Population, Kathmandu, Nepal.
ABSTRACT
Background: A 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.
Methods: In 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.
Results: Analyzing the overall risk based on scoring of the total VDCs (n = 3976), 54 (1.36%),
201 (5.06%), 999 (25.13%), and 2718 (68.36%) were identified as high-,
moderate-, low-, and no-risk categories for malaria, respectively. Based on the
population statistics, 3.62%, 9.79%, 34.52%, and 52.05% of the country’s total population live
in high-risk, moderate risk, low-risk, and no-risk VDCs for malaria,
respectively. Our micro-stratification study estimates are 100,000 population
at high risk. Regional distribution showed that the majority of
the high-risk VDCs were identified in the Far- and Midwestern regions (19 and
18 VDCs) followed by Central and Western regions (10 and 7 VDCs) with no
high-risk VDCs in the Eastern region. Similarly, 77, 59, 27, 24, and 14 VDCs of
the Central, Mid-western, Western, Eastern, and Far-western regions,
respectively, were found under moderate malaria risk. Of the low-risk VDCs,
353, 215, 191, 148, and 92 were respectively from the Central, Eastern,
Western, Far-western, and Mid-western regions.
Conclusions: The 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 microstratification approach can be
employed to identify the risk areas up to smaller units within the VDCs (ward
and villages).
Keywords: Malaria, Micro-stratification, Elimination, Intervention, Nepal
