Evidence map›Paper›PMID 39186718›Full record

ArticlePLOS global public health2024

Malaria reporting timeliness analysis and factors associated with delayed notification, 2018-2022, Nepal.

Shashi Kandel, Gokarna Dahal, Rudra Prasad Marasini, Krishna Prasad Paudel, Ashna Parajuli, Susmita Thapa, Rizu Aryal, Kanlaya Jongcherdchootrakul, Phanthanee Thitichai

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Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

9 authors.

Shashi KandelDepartment of Health Services, Epidemiology and Disease Control Division, Ministry of Health and Population, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-1489-7181
Gokarna DahalDepartment of Health Services, Epidemiology and Disease Control Division, Ministry of Health and Population, Kathmandu, Nepal.
Rudra Prasad MarasiniDepartment of Health Services, Epidemiology and Disease Control Division, Ministry of Health and Population, Kathmandu, Nepal.
Krishna Prasad PaudelMinistry of Health and Population, Kathmandu, Nepal.
Ashna ParajuliDepartment of Health Services, Epidemiology and Disease Control Division, Ministry of Health and Population, Kathmandu, Nepal.
Susmita ThapaDepartment of Health Services, Epidemiology and Disease Control Division, Ministry of Health and Population, Kathmandu, Nepal.ORCID https://orcid.org/0009-0001-0654-8726
Rizu AryalDepartment of Health Services, Epidemiology and Disease Control Division, Ministry of Health and Population, Kathmandu, Nepal.ORCID https://orcid.org/0009-0003-3614-230X
Kanlaya JongcherdchootrakulDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-6010-9521
Phanthanee ThitichaiDepartment of Disease Control, Division of Epidemiology, Field Epidemiology Training Program, Ministry of Public Health, Nonthaburi, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to monitor public health trends and identify disease outbreaks early, efficient and reliable notification and surveillance systems are essential. Nepal uses a 1-3-7 malaria surveillance approach. The Short Message System (SMS) -based system for timely notification has been established. However, knowledge gaps exist regarding the timeliness of notification, treatment initiation, and case-based investigations. Hence, this study identifies the timeliness of notification and factors associated with delayed notification. This study used a cross-sectional approach and used secondary malaria surveillance data from Nepal's national malaria elimination program for the period of 2018 to 2022. The study revealed that the majority (79.9%) of malaria cases were male, with a male-to-female ratio of 3.96:1. Occupation was found to be significantly associated with delayed notification. Repatriate workers had 0.60 times lower odds of experiencing delayed notification compared to the reference occupation. Similarly, individuals diagnosed in the Sudurpaschim and Lumbini provinces had significantly lower odds (0.48 and 0.38, respectively) of encountering delayed notification compared to the reference province. Furthermore, relying on a single laboratory tool for malaria diagnosis (either RDT or microscopy only) was significantly associated with delayed notification. Individuals diagnosed solely with RDT or microscopy had 2.04 and 1.79 times higher odds of experiencing delayed notification, respectively, compared to those diagnosed using both laboratory tools. This study provides insight into the timeliness of surveillance system approach by assessing delayed notification and the factors associated with it. No delays are identified in median notification, treatment time and in case investigation. Improvement in the timeliness of malaria reporting over the years was observed. Provinces with high burden of malaria and repatriate workers showed lower delayed notification and conversely, cases diagnosed with single laboratory tool showed delayed notification time.

Identifiers

PMID39186718
PMCPMC11346946

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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.