Utilizing disease transmission and response capacities to optimize covid-19 control in Malaysia.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
28 May 2024
Historique:
received: 12 12 2023
accepted: 20 05 2024
medline: 29 5 2024
pubmed: 29 5 2024
entrez: 28 5 2024
Statut: epublish

Résumé

Public Health Social Measures (PHSM) such as movement restriction movement needed to be adjusted accordingly during the COVID-19 pandemic to ensure low disease transmission alongside adequate health system capacities based on the COVID-19 situational matrix proposed by the World Health Organization (WHO). This paper aims to develop a mechanism to determine the COVID-19 situational matrix to adjust movement restriction intensity for the control of COVID-19 in Malaysia. Several epidemiological indicators were selected based on the WHO PHSM interim guidance report and validated individually and in several combinations to estimate the community transmission level (CT) and health system response capacity (RC) variables. Correlation analysis between CT and RC with COVID-19 cases was performed to determine the most appropriate CT and RC variables. Subsequently, the CT and RC variables were combined to form a composite COVID-19 situational matrix (SL). The SL matrix was validated using correlation analysis with COVID-19 case trends. Subsequently, an automated web-based system that generated daily CT, RC, and SL was developed. CT and RC variables were estimated using case incidence and hospitalization rate; Hospital bed capacity and COVID-19 ICU occupancy respectively. The estimated CT and RC were strongly correlated [ρ = 0.806 (95% CI 0.752, 0.848); and ρ = 0.814 (95% CI 0.778, 0.839), p < 0.001] with the COVID-19 cases. The estimated SL was strongly correlated with COVID-19 cases (ρ = 0.845, p < 0.001) and responded well to the various COVID-19 case trends during the pandemic. SL changes occurred earlier during the increase of cases but slower during the decrease, indicating a conservative response. The automated web-based system developed produced daily real-time CT, RC, and SL for the COVID-19 pandemic. The indicators selected and combinations formed were able to generate validated daily CT and RC levels for Malaysia. Subsequently, the CT and RC levels were able to provide accurate and sensitive information for the estimation of SL which provided valuable evidence on the progression of the pandemic and movement restriction adjustment for the control of Malaysia.

Identifiants

pubmed: 38807095
doi: 10.1186/s12889-024-18890-3
pii: 10.1186/s12889-024-18890-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1422

Informations de copyright

© 2024. The Author(s).

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Auteurs

Sarbhan Singh (S)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia. lssarbhan@moh.gov.my.

Lai Chee Herng (LC)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Nuur Hafizah Md Iderus (NHM)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Sumarni Mohd Ghazali (SM)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Lonny Chen Rong Qi Ahmad (LCRQ)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Nur'ain Mohd Ghazali (NM)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Mohd Nadzmi Md Nadzri (MNM)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Asrul Anuar (A)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Mohd Kamarulariffin Kamarudin (MK)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Lim Mei Cheng (LM)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Kok Keng Tee (KK)

Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Chong Zhuo Lin (CZ)

Institute for Public Health (IPH), National Institutes of Health (NIH), Ministry of Health Malaysia, Setia Alam, 40170, Malaysia.

Balvinder Singh Gill (BS)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

Nur Ar Rabiah Binti Ahmad (NARB)

Institute for Medical Research (IMR), National Institutes of Health (NIH), Ministry of Health Malaysia, No.1, Jalan Setia MurniSetia Alam, U13/52, Seksyen, Selangor, Malaysia.

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