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Performance of passive case detection for malaria surveillance: results from nine countries in Mesoamerica and the Dominican Republic

Overview of attention for article published in Malaria Journal, April 2021
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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8 X users

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Title
Performance of passive case detection for malaria surveillance: results from nine countries in Mesoamerica and the Dominican Republic
Published in
Malaria Journal, April 2021
DOI 10.1186/s12936-021-03645-x
Pubmed ID
Authors

Diego Rios-Zertuche, Keith H. Carter, Katie Panhorst Harris, Max Thom, Maria Paola Zúñiga-Brenes, Pedro Bernal-Lara, Álvaro González-Marmol, Casey K. Johanns, Bernardo Hernández, Erin Palmisano, Rebecca Cogen, Paulami Naik, Charbel El Bcheraoui, David L. Smith, Ali H. Mokdad, Emma Iriarte

Abstract

In malaria elimination settings, available metrics for malaria surveillance have been insufficient to measure the performance of passive case detection adequately. An indicator for malaria suspected cases with malaria test (MSCT) is proposed to measure the rate of testing on persons presenting to health facilities who satisfy the definition of a suspected malaria case. This metric does not rely on prior knowledge of fever prevalence, seasonality, or external denominators, and can be used to compare detection rates in suspected cases within and between countries, including across settings with different levels of transmission. To compute the MSCT, an operational definition for suspected malaria cases was established, including clinical and epidemiological criteria. In general, suspected cases included: (1) persons with fever detected in areas with active malaria transmission; (2) persons with fever identified in areas with no active transmission and travel history to, or residence in areas with active transmission (either national or international); and (3) persons presenting with fever, chills and sweating from any area. Data was collected from 9 countries: Belize, Colombia (in areas with active transmission), Costa Rica, Dominican Republic, El Salvador, Guatemala, Honduras, Nicaragua, and Panama (September-March 2020). A sample of eligible medical records for 2018 was selected from a sample of health facilities in each country. An algorithm was constructed to assess if a malaria test was ordered or performed for cases that met the suspected case definition. A sample of 5873 suspected malaria cases was obtained from 239 health facilities. Except for Nicaragua and Colombia, malaria tests were requested in less than 10% of all cases. More cases were tested in areas with active transmission than areas without cases. Travel history was not systematically recorded in any country. A statistically comparable, replicable, and standardized metric was proposed to measure suspected malaria cases with a test (microscopy or rapid diagnostic test) that enables assessing the performance of passive case detection. Cross-country findings have important implications for malaria and infectious disease surveillance, which should be promptly addressed as countries progress towards malaria elimination. Local and easy-to-implement tools could be implemented to assess and improve passive case detection.

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X Demographics

The data shown below were collected from the profiles of 8 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 14%
Other 4 11%
Student > Doctoral Student 4 11%
Professor 1 3%
Student > Bachelor 1 3%
Other 2 5%
Unknown 20 54%
Readers by discipline Count As %
Nursing and Health Professions 3 8%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Computer Science 2 5%
Agricultural and Biological Sciences 1 3%
Other 2 5%
Unknown 24 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 May 2021.
All research outputs
#6,388,133
of 24,265,140 outputs
Outputs from Malaria Journal
#1,647
of 5,799 outputs
Outputs of similar age
#131,865
of 430,155 outputs
Outputs of similar age from Malaria Journal
#39
of 123 outputs
Altmetric has tracked 24,265,140 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 5,799 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 430,155 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 69% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.