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Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study

Overview of attention for article published in BMC Public Health, May 2021
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
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Title
Fine-scale variation in malaria prevalence across ecological regions in Madagascar: a cross-sectional study
Published in
BMC Public Health, May 2021
DOI 10.1186/s12889-021-11090-3
Pubmed ID
Authors

Benjamin L. Rice, Christopher D. Golden, Hervet J. Randriamady, Anjaharinony Andry Ny Aina Rakotomalala, Miadana Arisoa Vonona, Evelin Jean Gasta Anjaranirina, James Hazen, Marcia C. Castro, C. Jessica E. Metcalf, Daniel L. Hartl

Abstract

Large-scale variation in ecological parameters across Madagascar is hypothesized to drive varying spatial patterns of malaria infection. However, to date, few studies of parasite prevalence with resolution at finer, sub-regional spatial scales are available. As a result, there is a poor understanding of how Madagascar's diverse local ecologies link with variation in the distribution of infections at the community and household level. Efforts to preserve Madagascar's ecological diversity often focus on improving livelihoods in rural communities near remaining forested areas but are limited by a lack of data on their infectious disease burden. To investigate spatial variation in malaria prevalence at the sub-regional scale in Madagascar, we sampled 1476 households (7117 total individuals, all ages) from 31 rural communities divided among five ecologically distinct regions. The sampled regions range from tropical rainforest to semi-arid, spiny forest and include communities near protected areas including the Masoala, Makira, and Mikea forests. Malaria prevalence was estimated by rapid diagnostic test (RDT) cross-sectional surveys performed during malaria transmission seasons over 2013-2017. Indicative of localized hotspots, malaria prevalence varied more than 10-fold between nearby (< 50 km) communities in some cases. Prevalence was highest on average in the west coast region (Morombe district, average community prevalence 29.4%), situated near protected dry deciduous forest habitat. At the household level, communities in southeast Madagascar (Mananjary district) were observed with over 50% of households containing multiple infected individuals at the time of sampling. From simulations accounting for variation in household size and prevalence at the community level, we observed a significant excess of households with multiple infections in rural communities in southwest and southeast Madagascar, suggesting variation in risk within communities. Our data suggest that the malaria infection burden experienced by rural communities in Madagascar varies greatly at smaller spatial scales (i.e., at the community and household level) and that the southeast and west coast ecological regions warrant further attention from disease control efforts. Conservation and development efforts in these regions may benefit from consideration of the high, and variable, malaria prevalences among communities in these areas.

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The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 13%
Student > Ph. D. Student 4 13%
Researcher 4 13%
Student > Master 3 10%
Unspecified 1 3%
Other 0 0%
Unknown 15 48%
Readers by discipline Count As %
Medicine and Dentistry 3 10%
Environmental Science 2 6%
Nursing and Health Professions 2 6%
Agricultural and Biological Sciences 2 6%
Computer Science 2 6%
Other 5 16%
Unknown 15 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2021.
All research outputs
#8,112,771
of 25,307,660 outputs
Outputs from BMC Public Health
#8,690
of 16,966 outputs
Outputs of similar age
#162,574
of 441,328 outputs
Outputs of similar age from BMC Public Health
#283
of 480 outputs
Altmetric has tracked 25,307,660 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 16,966 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 441,328 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.