Evidence map›Paper›PMID 36348409›Full record

ArticleMalaria journal2022

Improvements in malaria surveillance through the electronic Integrated Disease Surveillance and Response (eIDSR) system in mainland Tanzania, 2013-2021.

Joseph J Joseph, Humphrey R Mkali, Erik J Reaves, Osia S Mwaipape, Ally Mohamed, Samwel N Lazaro, Sijenunu Aaron, Frank Chacky, Anna Mahendeka, Hermes S Rulagirwa and 15 more

Abstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
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  9. Malaria elimination in Zanzibar: where next?The Pan African medical journal · 2023
    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

25 authors.

Joseph J JosephRTI International, Dar es Salaam, United Republic of Tanzania. jjjkimaro90@gmail.com.
Humphrey R MkaliRTI International, Dar es Salaam, United Republic of Tanzania.
Erik J ReavesU.S. President's Malaria Initiative, U.S. Center for Disease Control and Prevention, Dar es Salaam, United Republic of Tanzania.
Osia S MwaipapeRTI International, Dar es Salaam, United Republic of Tanzania.
Ally MohamedMinistry of Health, Dodoma, United Republic of Tanzania.
Samwel N LazaroMinistry of Health, Dodoma, United Republic of Tanzania.
Sijenunu AaronMinistry of Health, Dodoma, United Republic of Tanzania.
Frank ChackyMinistry of Health, Dodoma, United Republic of Tanzania.
Anna MahendekaMinistry of Health, Dodoma, United Republic of Tanzania.
Hermes S RulagirwaMinistry of Health, Dodoma, United Republic of Tanzania.
Mwendwa MwenesiMinistry of Health, Dodoma, United Republic of Tanzania.
Elibariki MwakapejeMinistry of Health, Dodoma, United Republic of Tanzania.
Ally Y AllyMinistry of Health, Dodoma, United Republic of Tanzania.
Chonge KitojoU.S. President's Malaria Initiative, U.S. Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Naomi SerbantezU.S. President's Malaria Initiative, U.S. Agency for International Development, Dar es Salaam, United Republic of Tanzania.
Ssanyu NyinondiRTI International, Dar es Salaam, United Republic of Tanzania.
Shabbir M LaljiRTI International, Dar es Salaam, United Republic of Tanzania.
Ritha WililloWorld Health Organization, Dar es Salaam, Tanzania.
Abdul-Wahid Al-MafazyRTI International, Dar es Salaam, United Republic of Tanzania.
Bilali I KabulaRTI International, Dar es Salaam, United Republic of Tanzania.
Claud JohnU.S. President's Malaria Initiative, U.S. Center for Disease Control and Prevention, Dar es Salaam, United Republic of Tanzania.
Donal BisanzioRTI International, Washington, DC, USA.
Erin EckertRTI International, Washington, DC, USA.
Richard ReithingerRTI International, Washington, DC, USA.
Jeremiah M NgondiRTI International, Washington, DC, USA.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundTanzania has made remarkable progress in reducing malaria burden and aims to transition from malaria control to sub-national elimination. In 2013, electronic weekly and monthly reporting platforms using the District Health Information System 2 (DHIS2) were introduced. Weekly reporting was implemented through the mobile phone-based Integrated Disease Surveillance and Response (eIDSR) platform and progressively scaled-up from 67 to 7471 (100%) public and private health facilities between 2013 and 2020. This study describes the roll-out and large-scale implementation of eIDSR and compares the consistency between weekly eIDSR and monthly DHIS2 malaria indicator data reporting, including an assessment of its usefulness for malaria outbreak detection and case-based surveillance (CBS) in low transmission areas.

methodsThe indicators included in the analysis were number of patients tested for malaria, number of confirmed malaria cases, and clinical cases (treated presumptively for malaria). The analysis described the time trends of reporting, testing, test positivity, and malaria cases between 2013 and 2021. For both weekly eIDSR and monthly DHIS2 data, comparisons of annual reporting completeness, malaria cases and annualized incidence were performed for 2020 and 2021; additionally, comparisons were stratified by malaria epidemiological strata (parasite prevalence: very low < 1%, low 1 ≤ 5%, moderate 5 ≤ 30%, and high > 30%).

resultsWeekly eIDSR reporting completeness steadily improved over time, with completeness being 90.2% in 2020 and 93.9% in 2021; conversely, monthly DHIS2 reporting completeness was 98.9% and 98.7% in 2020 and 2021, respectively. Weekly eIDSR reporting completeness and timeliness were highest in the very low epidemiological stratum. Annualized malaria incidence as reported by weekly eIDSR was 17.5% and 12.4% lower than reported by monthly DHIS2 in 2020 and 2021; for both 2020 and 2021, annualized incidence was similar across weekly and monthly data in the very low stratum.

conclusionThe concurrence of annualized weekly eIDSR and monthly DHIS2 reporting completeness, malaria cases and incidence in very low strata suggests that eIDSR could be useful tool for early outbreak detection, and the eIDSR platform could reliably be expanded by adding more indicators and modules for CBS in the very low epidemiological stratum.

Indexed as

Health Information SystemsMalariaElectronicsHealth FacilitiesHumansTanzaniaDHIS2eIDSRMalaria surveillanceMonthly reportingTimelinessWeekly reporting

Identifiers

PMID36348409
PMCPMC9641756

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.