Evidence map›Paper›PMID 36124331›Full record

ArticleAfrican journal of infectious diseases2022

RDT- AND MICROSCOPIC-BASED TRENDS OF MALARIA AMONG LOCAL AND MIGRANT POPULATIONS IN THE PROVINCE OF CENTRAL KALIMANTAN, INDONESIA DURING 2017-2020.

Arwati Heny, Lestarisa Trilianty, Augustina Indria, Rohmah Etik Ainun, Subekti Sri, Keman Soedjajadi, Dachlan Yoes Prijatna

Abstract read
In one paragraph

Article in African journal of infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Arwati HenyDepartment of Medical Parasitology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Lestarisa TriliantyDepartment of Public Health, Faculty of Medicine, Universitas Palangka Raya, Palangka Raya City, Indonesia.
Augustina IndriaDepartment of Parasitology, Faculty of Medicine, Universitas Palangka Raya, Palangka Raya City, Indonesia.
Rohmah Etik AinunDepartment of Entomology, Institute of Tropical Diseases, Universitas Airlangga, Surabaya, Indonesia.
Subekti SriDepartment of Entomology, Institute of Tropical Diseases, Universitas Airlangga, Surabaya, Indonesia.
Keman SoedjajadiDepartment of Environmental Health, Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia.
Dachlan Yoes PrijatnaDepartment of Medical Parasitology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Indonesia has demonstrated a significant progress in malaria elimination. Kapuas and Gunung Mas Districts in Central Kalimantan Province have not been freed from malaria and there is no information of malaria incidences in these areas. Palangka Raya city has been freed from malaria in 2018. Materials and Methods: The total number of 140 samples consisting of 75 malaria Giemsa-stained blood smears and 65 RDT cartridges from both local and migrant populations. Both males and females aged15 years and above were included and their demographic data were recorded. The malaria trend in these areas was analyzed based on the number of cases, species of Results: The study findings disclosed a yearly decrement of malaria trend in both local and migrant populations of the studied areas. The highest number of Conclusion: To minimize malaria cases among gold miners, mosquito repellent, prophylactic administration of antimalarial drugs and enough enlightenment should be considered before and during their activities. From that standpoint, the effective collaboration between health officers and environmental authorities is recommended to control, prevent and eliminate malaria in these areas.

Indexed as

Central Kalimantan ProvinceIndonesiaMalariaMicroscopyRDT

Identifiers

PMID36124331
PMCPMC9480884

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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.