Evidence map›Paper›PMID 30518365›Full record

ArticleMalaria journal2018

Nationwide school malaria parasitaemia survey in public primary schools, the United Republic of Tanzania.

Frank Chacky, Manuela Runge, Susan F Rumisha, Pendael Machafuko, Prosper Chaki, Julius J Massaga, Ally Mohamed, Emilie Pothin, Fabrizio Molteni, Robert W Snow and 2 more

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 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
11.3field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 150 citations in OpenAlex.

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  9. Comparative malaria impact of chlorfenapyr-α-cypermethrin netsCurrent research in parasitology & vector-borne diseases · 2026
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8 more citing papers are in PubMed but not listed here.

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 5 institutions in 4 countries.

Frank ChackyMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania. chackyfa@gmail.com.ORCID http://orcid.org/0000-0002-6521-9156
Manuela RungeSwiss Tropical and Public Health Institute, Basel, Switzerland. manuela.runge@swisstph.ch.
Susan F RumishaNational Institute for Medical Research, Dar es Salaam, Tanzania.
Pendael MachafukoNational Malaria Control Programme, Dar es Salaam, Tanzania.
Prosper ChakiIfakara Health Institute, Dar es Salaam, Tanzania.
Julius J MassagaNational Institute for Medical Research, Dar es Salaam, Tanzania.
Ally MohamedMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Emilie PothinSwiss Tropical and Public Health Institute, Basel, Switzerland.
Fabrizio MolteniNational Malaria Control Programme, Dar es Salaam, Tanzania.
Robert W SnowKEMRI-Welcome Trust Research Programme, Nairobi, Kenya.
Christian LengelerSwiss Tropical and Public Health Institute, Basel, Switzerland.
Renata MandikeMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
African Malaria Network Trust · TZSwiss Tropical and Public Health Institute · CHNational Institute for Medical Research · TZIfakara Health Institute · TZKenya Medical Research Institute · KE

Funding

Global Fund to Fight AIDS, Tuberculosis and Malaria TNZ-M-MOFEAWellcome Trust
6 · The paper itself

Abstract

backgroundA nationwide, school, malaria survey was implemented to assess the risk factors of malaria prevalence and bed net use among primary school children in mainland Tanzania. This allowed the mapping of malaria prevalence at council level and assessment of malaria risk factors among school children.

methodsA cross-sectional, school, malaria parasitaemia survey was conducted in 25 regions, 166 councils and 357 schools in three phases: (1) August to September 2014; (2) May 2015; and, (3) October 2015. Children were tested for malaria parasites using rapid diagnostic tests and were interviewed about household information, parents' education, bed net indicators as well as recent history of fever. Multilevel mixed effects logistic regression models were fitted to estimate odds ratios of risk factors for malaria infection and for bed net use while adjusting for school effect.

resultsIn total, 49,113 children were interviewed and tested for malaria infection. The overall prevalence of malaria was 21.6%, ranging from < 0.1 to 53% among regions and from 0 to 76.4% among councils. The malaria prevalence was below 5% in 62 of the 166 councils and above 50% in 18 councils and between 5 and 50% in the other councils. The variation of malaria prevalence between schools was greatest in regions with a high mean prevalence, while the variation was marked by a few outlying schools in regions with a low mean prevalence. Overall, 70% of the children reported using mosquito nets, with the highest percentage observed among educated parents (80.7%), low land areas (82.7%) and those living in urban areas (82.2%).

conclusionsThe observed prevalence among school children showed marked variation at regional and sub-regional levels across the country. Findings of this survey are useful for updating the malaria epidemiological profile and for stratification of malaria transmission by region, council and age groups, which is essential for guiding resource allocation, evaluation and prioritization of malaria interventions.

Indexed as

AdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansMalariaMaleParasitemiaPrevalenceRisk FactorsSchoolsStudentsTanzaniaMalariaMalaria prevalenceMalaria surveillanceMosquito net useSchool childrenTanzania

Identifiers

PMID30518365
PMCPMC6280377
OpenAlexW2902071825

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.