Evidence map›Paper›PMID 31878929›Full record

ArticleMalaria journal2019

Indigenously developed digital handheld Android-based Geographic Information System (GIS)-tagged tablets (TABs) in malaria elimination programme in Mangaluru city, Karnataka, India.

B Shantharam Baliga, Animesh Jain, Naren Koduvattat, B G Prakash Kumar, Manu Kumar, Arun Kumar, Susanta K Ghosh

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
3.6field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. 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

7 authors at 3 institutions in 1 country.

B Shantharam BaligaKasturba Medical College, Manipal Academy of Higher Education, Mangalore, Karnataka, 575003, India.
Animesh JainKasturba Medical College, Manipal Academy of Higher Education, Mangalore, Karnataka, 575003, India.
Naren KoduvattatI-Point Consulting, Punja Arcade, Lalbagh, Mangalore, Karnataka, 575003, India.
B G Prakash KumarDirectorate of Health and Family Welfare Services, Government of Karnataka, Bangalore, Karnataka, 560009, India.
Manu KumarCity Corporation, Lalbagh, Mangalore, Karnataka, 575003, India.
Arun KumarDepartment of Public Health, Dakshina Kannada District, Mangalore, Karnataka, 575001, India.
Susanta K GhoshICMR-National Institute of Malaria Research (Field Unit), Nirmal Bhawan-ICMR Campus, Poojanahalli, Kannamangla Post, Devanahalli Taluk, Bangalore, Karnataka, 562110, India. ghoshnimr@gmail.com.
Kasturba Medical College, Manipal · INGovernment of Karnataka · INNational Institute of Malaria Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnder-reporting, delayed diagnosis, incomplete treatment and inadequate vector management are few among many factors responsible for uninterrupted transmission of malaria in India. Information technology (IT) and mobile apps can be utilized effectively to overcome these hurdles. Indigenously developed digital handheld geographic information system (GIS)-tagged Android-based tablets (TABs) has been designed especially for implementation of digitization protocol. This has changed the effectiveness of malaria surveillance and intervention strategies in a malaria endemic area of Mangaluru city, Karnataka, India.

methodsA software was developed and implemented for control measures to create a digital database of each malaria case. Secondary data analyses were carried out to determine and compare differences in malariometric indices between pre- and post-digitization years. With the introduction of this software active surveillance, information education and communication (IEC), and anti-vector measures were made 'incidence-centric'. This means that the entire control measures were carried out in the houses where the malaria cases (index cases) were reported and also in surrounding houses.

resultsAnnual blood examination rate (ABER) increased from 13.82 to 32.8%. Prompt reporting of new cases had improved (36% within 24 h and 80% within 72 h). Complete treatment and parasite clearance time were documented in 98% of cases. In the second post-digitization year untraceable cases reduced from 11.3 to 2.7%; contact blood smears collection also increased significantly (p < 0.001); Slide Positivity Rate (SPR) decreased from 15.5 to 10.48%; malaria cases reduced by 30%.

conclusionsIT is very useful in translation of digitized surveillance to core interventions thereby effectively reduce incidence of malaria. This technology can be used effectively to translate smart surveillance to core interventions following the '1-3-7-14' strategy.

Indexed as

Geographic Information SystemsComputers, HandheldDisease EradicationHumansIndiaMalariaPopulation SurveillanceDigitizationGISIncidence-centricInformation technologyMalariaMalaria eliminationMangaluruMobile appSmart surveillanceSoftwareTABs

Identifiers

PMID31878929
PMCPMC6933888
OpenAlexW2998207467

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.