Evidence map›Paper›PMID 35736977›Full record

ArticleTropical medicine and infectious disease2022

Operational Gaps in Implementing the COVID-19 Case Investigation and Contact Tracing in Madhesh Province of Nepal, May-July 2021.

Nishant Thakur, Florian Vogt, Srinath Satyanarayana, Divya Nair, Krishna Garu, Koshal Chandra Subedee, Shrawan Kumar Mandal, Amrit Pokhrel, Dipendra Gautam, Krishna Prasad Paudel

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

10 authors at 5 institutions in 4 countries.

Nishant ThakurEpidemiology and Disease Control Division, Department of Health Services, Kathmandu 44600, Nepal.
Florian VogtNational Centre for Epidemiology and Population Health, The Australian National University, Canberra 2601, Australia.
Srinath SatyanarayanaCenter for Operational Research, International Union against Tuberculosis and Lung Disease, 75001 Paris, France.ORCID 0000-0002-5420-2551
Divya NairCenter for Operational Research, International Union against Tuberculosis and Lung Disease, 75001 Paris, France.ORCID 0000-0001-5497-2858
Krishna GaruEpidemiology and Disease Control Division, Department of Health Services, Kathmandu 44600, Nepal.
Koshal Chandra SubedeeEpidemiology and Disease Control Division, Department of Health Services, Kathmandu 44600, Nepal.ORCID 0000-0002-4346-7124
Shrawan Kumar MandalSukraraj Tropical and Infectious Disease Hospital, Kathmandu 44600, Nepal.ORCID 0000-0001-9475-2040
Amrit PokhrelEpidemiology and Disease Control Division, Department of Health Services, Kathmandu 44600, Nepal.
Dipendra GautamCountry Office Nepal, World Health Organization, Kathmandu 44600, Nepal.
Krishna Prasad PaudelMinistry of Health and Population, Kathmandu 44600, Nepal.
Department of Health Services · NPInternational Union Against Tuberculosis and Lung Disease · FRAustralian National University · AUMinistry of Health and Population · NPSukraraj Tropical & Infectious Disease Hospital · NP

Funding

World Health Organization 001
6 · The paper itself

Abstract

In Nepal, case investigation and contact tracing (CICT) was adopted as an important public health measure to reduce COVID-19 transmission. In this study, we assessed the performance of CICT in Madhesh Province of Nepal against national benchmarks, using routine programmatic data reported by district CICT teams. Between May and July 2021, 17,943 COVID-19 cases were declared in the province, among which case investigation was performed for 30% (95% CI: 29.6-31.0%) within 24 h (against 80% benchmark). As a result of case investigations, 6067 contacts were identified (3 contacts per 10 cases), of which 40% were traced and tested for SARS-CoV-2 infection (against 100% benchmark). About 60% of the contacts tested positive. At most 14% (95% CI: 13.1% to 14.9%) of traced contacts underwent a 14-day follow-up assessment (against 100% benchmark). We found the performance of the CICT program in Madhesh Province to be sub-optimal and call for corrective measures to strengthen CICT in the province and the country at large. Similar studies with wider geographical scope and longer time frames are needed to identify and address deficiencies in data recording and reporting systems for COVID-19, in low- and middle-income countries like Nepal and others.

Indexed as

case investigationchallengescontact tracingCOVID-19gapskey performance indicatorsNepaloperational research (SORT IT)

Identifiers

PMID35736977
PMCPMC9230110
OpenAlexW4282557249

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.