Evidence map›Paper›PMID 32384923›Full record

ArticleMalaria journal2020

Sub-national stratification of malaria risk in mainland Tanzania: a simplified assembly of survey and routine data.

Sumaiyya G Thawer, Frank Chacky, Manuela Runge, Erik Reaves, Renata Mandike, Samwel Lazaro, Sigsbert Mkude, Susan F Rumisha, Claud Kumalija, Christian Lengeler and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
15.1field-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

74 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

  1. Pooled it
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14 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

14 authors at 5 institutions in 5 countries.

Sumaiyya G ThawerSwiss Tropical and Public Health Institute, Basel, Switzerland. sumaiyya.thawer@swisstph.ch.ORCID http://orcid.org/0000-0003-2744-3699
Frank ChackyMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Manuela RungeSwiss Tropical and Public Health Institute, Basel, Switzerland.
Erik ReavesMalaria Branch, Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, and US President's Malaria Initiative, Dar es Salaam, United Republic of Tanzania.
Renata MandikeMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Samwel LazaroMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Sigsbert MkudeSwiss Tropical and Public Health Institute, Basel, Switzerland.
Susan F RumishaNational Institute for Medical Research, Dar es Salaam, Tanzania.
Claud KumalijaMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Christian LengelerSwiss Tropical and Public Health Institute, Basel, Switzerland.
Ally MohamedMinistry of Health, Community Development, Gender, Elderly, and Children, Dodoma, Tanzania.
Emilie PothinSwiss Tropical and Public Health Institute, Basel, Switzerland.
Robert W SnowKEMRI-Welcome Trust Research Programme, Nairobi, Kenya.
Fabrizio MolteniSwiss Tropical and Public Health Institute, Basel, Switzerland. fabrizio.molteni@netcell.org.
Swiss Tropical and Public Health Institute · CHAfrican Malaria Network Trust · TZKenya Medical Research Institute · KEMinistry of Health, Community Development, Gender, Elderly and Children · TZNational Institute for Medical Research · TZ

Funding

Wellcome Trust 103602Wellcome Trust 212176
6 · The paper itself

Abstract

backgroundRecent malaria control efforts in mainland Tanzania have led to progressive changes in the prevalence of malaria infection in children, from 18.1% (2008) to 7.3% (2017). As the landscape of malaria transmission changes, a sub-national stratification becomes crucial for optimized cost-effective implementation of interventions. This paper describes the processes, data and outputs of the approach used to produce a simplified, pragmatic malaria risk stratification of 184 councils in mainland Tanzania.

methodsAssemblies of annual parasite incidence and fever test positivity rate for the period 2016-2017 as well as confirmed malaria incidence and malaria positivity in pregnant women for the period 2015-2017 were obtained from routine district health information software. In addition, parasite prevalence in school children (PfPR

resultsOut of 184 councils, 28 were in the very low stratum (12% of the population), 34 in the low stratum (28% of population), 49 in the moderate stratum (23% of population) and 73 in the high stratum (37% of population). Geographically, most of the councils in the low and very low strata were situated in the central corridor running from the north-east to south-west parts of the country, whilst the areas in the moderate to high strata were situated in the north-west and south-east regions.

conclusionA stratification approach based on multiple routine and survey malaria information was developed. This pragmatic approach can be rapidly reproduced without the use of sophisticated statistical methods, hence, lies within the scope of national malaria programmes across Africa.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleHumansInfantInfant, NewbornMalariaMaleMiddle AgedParasitemiaPregnancyPrevalenceEpidemiological stratificationMalariaRoutine dataSchool surveysTanzania

Identifiers

PMID32384923
PMCPMC7206674
OpenAlexW3023707488

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.