Evidence map›Paper›PMID 29615041›Full record

ArticleMalaria journal2018

School-based malaria prevalence: informative systematic surveillance measure to assess epidemiological impact of malaria control interventions in the Democratic Republic of the Congo.

Edouard K Swana, Thierry I Yav, Leonard M Ngwej, Betty N Mupemba, Suprianto, Clarence K Mukeng, Izak Hattingh, Oscar N Luboya, Jean-Baptiste S Kakoma, Michael J Bangs

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Relationship between Duffy Genotype/Phenotype and Prevalence ofTropical medicine and infectious disease · 2023
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

10 authors at 1 institution in 1 country.

Edouard K SwanaChina Molybdenum Company International, Ltd/International SOS, Public Health Programme, Tenke Fungurume Mining Project, Lualaba, Democratic Republic of the Congo. swanakawawa@gmail.com.
Thierry I YavChina Molybdenum Company International, Ltd/International SOS, Public Health Programme, Tenke Fungurume Mining Project, Lualaba, Democratic Republic of the Congo.
Leonard M NgwejChina Molybdenum Company International, Ltd/International SOS, Public Health Programme, Tenke Fungurume Mining Project, Lualaba, Democratic Republic of the Congo.
Betty N MupembaPublic Health Referral Laboratory, Lubumbashi, Haut Katanga Province, Democratic Republic of the Congo.
SupriantoPublic Health & Malaria Control, International SOS, P.T. Freeport Indonesia, Kuala Kencana, Papua, 99920, Indonesia.
Clarence K MukengSchool of Public Health, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Izak HattinghChina Molybdenum Company International, Ltd/International SOS, Public Health Programme, Tenke Fungurume Mining Project, Lualaba, Democratic Republic of the Congo.
Oscar N LuboyaFaculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Jean-Baptiste S KakomaFaculty of Medicine, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
Michael J BangsSchool of Public Health, University of Lubumbashi, Lubumbashi, Democratic Republic of the Congo.
University of Lubumbashi · CD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn southern Democratic Republic of the Congo, malaria transmission is stable with seasonal fluctuations. Different measurements can be used to monitor disease burden and estimate the performance of control programmes. Repeated school-based malaria prevalence surveys (SMPS) were conducted from 2007 to 2014 to generate up-to-date surveillance data and evaluate the impact of an integrated vector control programme.

methodsBiannual SMPS used a stratified, randomized and proportional sampling method. Schools were randomly selected from the entire pool of facilities within each Health Area (HA). Subsequently, school-children from 6 to 12 years of age were randomly selected in a proportional manner. Initial point-of-care malaria diagnosis was made using a rapid detection test. A matching stained blood film was later examined by expert microscopy and used in the final analysis. Data was stratified and analysed based on age, survey time and location.

resultsThe baseline SMPS (pre-control in 2007) prevalence was approximately 77%. From 2009 to 2014, 11,628 school-children were randomly screened. The mean age was 8.7 years with a near equal sex ratio. After exclusion, analysis of 10,493 students showed an overall malaria prevalence ratio of 1.92 in rural compared to urbanized areas. The distribution of Plasmodium falciparum malaria was significantly different between rural and urban HAs and between end of wet season and end of dry season surveys. The combined prevalence of single P. falciparum, Plasmodium malariae and Plasmodium ovale infections were 29.9, 1.8 and 0.3% of those examined, respectively. Only 1.8% were mixed Plasmodium species infections. From all microscopically detected infections (3545 of 10,493 samples examined), P. falciparum represented 88.5%, followed by P. malariae (5.4%) and P. ovale (0.8%). Cases with multiple species represented 5.3% of patent infections. Malaria prevalence was independent of age and gender. Control programme performance contributed to a significant decrease in mean P. falciparum infection density in urban compared to rural locations. Some rural areas remained highly refractory to control measures (insecticide-treated bed nets, periodic indoor residual spraying).

conclusionThe SMPS is a useful longitudinal measurement for estimating population malaria prevalence and demonstrating disease burden and impact of control interventions. SMPS can identify refractory areas of transmission and thus prioritize control strategies accordingly.

Indexed as

SchoolsChildDemocratic Republic of the CongoEpidemiologic MethodsFemaleHumansMalariaMalaria, FalciparumMalePlasmodium falciparumPlasmodium malariaePlasmodium ovalePrevalenceSurveys and QuestionnairesDemocratic Republic of the CongoMalaria controlMalaria prevalenceSchool-based monitoring

Identifiers

PMID29615041
PMCPMC5883584
OpenAlexW2806926569

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.