| Literature DB >> 33370566 |
Giridhara R Babu1, Sonalini Khetrapal2, Daisy A John3, R Deepa3, K M Venkat Narayan4.
Abstract
INTRODUCTION: There was a low level of pandemic preparedness in South Asia, but the region has done well in mounting an appropriate response to the coronavirus disease 2019 (COVID-19) pandemic. The rate and proportion of deaths attributed to COVID-19 are lower despite case surges similar to the rest of the world.Entities:
Keywords: COVID-19; SARS-CoV-2; South Asia
Mesh:
Year: 2020 PMID: 33370566 PMCID: PMC7836380 DOI: 10.1016/j.ijid.2020.12.048
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Indicators of Global Health Security Index of South Asian countries.entheses)
| Countries | Prevention of the emergence or release of pathogens | Early detection and reporting of epidemics of potential international concern | Rapid response to, and mitigation of, the spread of an epidemic | Sufficient and robust health sector to treat the sick and protect health workers | Commitments to improving national capacity, financing and adherence to norms | Overall risk environment and national vulnerability to biological threats | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rank | Score | Rank | Score | Rank | Score | Rank | Score | Rank | Score | Rank | Score | Rank | Score | |
| Afghanistan | 130 | 32.3 | 140 | 23.5 | 77 | 44.8 | 161 | 23.6 | 102 | 21 | 52 | 56.3 | 191 | 23.3 |
| Bangladesh | 113 | 35 | 116 | 27.3 | 59 | 50.9 | 165 | 23.1 | 132 | 14.7 | 74 | 52.5 | 142 | 44 |
| Bhutan | 85 | 40.3 | 83 | 35.5 | 85 | 42.8 | 78 | 42 | 78 | 27.9 | 145 | 39.7 | 90 | 56.9 |
| India | 57 | 46.5 | 87 | 34.9 | 67 | 47.4 | 32 | 52.4 | 36 | 42.7 | 100 | 47.7 | 103 | 54.4 |
| The Maldives | 121 | 33.8 | 154 | 21.8 | 138 | 25.5 | 83 | 40.2 | 117 | 18.1 | 117 | 45.5 | 79 | 58.3 |
| Nepal | 111 | 35.1 | 58 | 43.7 | 150 | 22 | 79 | 41.9 | 76 | 28.1 | 167 | 33.5 | 137 | 44.7 |
| Pakistan | 105 | 35.5 | 136 | 24.1 | 91 | 41.7 | 88 | 38.7 | 107 | 19.9 | 86 | 49.7 | 160 | 38.7 |
| Sri Lanka | 120 | 33.9 | 135 | 24.2 | 82 | 43 | 145 | 26.4 | 122 | 16.9 | 137 | 41.7 | 91 | 56.7 |
Indicators influencing pandemic preparedness in South Asian countries.
| Surveillance | Resource allocation | Emergency preparedness and response act | Focus on vulnerable groups | Engagement with the private sector | |
|---|---|---|---|---|---|
| India | Integrated Disease Surveillance Program; Electronic reporting at both national and international level | Poor allocation to surveillance and preparedness | India has a national public health emergency preparedness and response plan | India’s national disaster management guidelines do not focus on vulnerable groups | Public–private partnership for comprehensive patient care as well as the development of a vaccine |
| Bhutan | Royal Centre for Disease Control has a national early warning, alert and response surveillance system | Bhutan has a health emergency and disaster contingency plan | Plan includes the vulnerable population | No mention of private partnerships for an emergency outbreak | |
| Pakistan | Pakistan has event-based surveillance | Pakistan does not have a prompt system for emergency preparedness and response | Either direct cash or postal services were utilized to maintain social distancing | Private transport companies supply necessities during a national disaster | |
| Nepal | The surveillance system developed is for insect-borne diseases, which can be tailor-made for COVID-19 surveillance | Rapid Response Teams(RRT) are functional | Establishment of information desks, camps and social mobilization networks | The private sector is not usually involved | |
| Afghanistan | Afghanistan does not have an event-based surveillance system | Public health emergency response plan | To reduce poverty-related implications, the World Bank approved approximately 300 million grants ( | The strategic framework (2018–2028) developed prioritizes engagement with the private sector | |
| The Maldives | The Maldives does not have event-based surveillance and analysis for infectious disease | The Maldives does not have a national public health emergency response plan | Provided relief on payment of utility bills either by deferring payments or through subsidies ( | Coordination of multiple sectors; no specific engagement mechanisms | |
| Sri Lanka | Routine disease surveillance system | Comprehensive disaster management programme (SAARC Disaster Management Centre, n.d.) | Government provided support to private sector businesses to cover the wage payments of their employees | No mechanisms for engagement with the private sector |
COVID-19, coronavirus disease 2019.
This table shows pandemic preparedness in South Asian countries with respect to surveillance, resource allocation, emergency preparedness and response act, focus on vulnerable groups, and engagement with the private sector.
Timeline and extent of early response against the coronavirus disease 2019 (COVID-19) pandemic in South Asian countries.
| Country | Airport screening initiated | Quarantine initiation | Lockdown initiation | Duration of lockdown |
|---|---|---|---|---|
| India | 31 January 2020 | 26 January 2020 | 25 March 2020 | 75 days |
| Pakistan | 24 January 2020 | 28 March 2020 | No national lockdown | – |
| Bhutan | 6 March 2020 | 16 March 2020 | 24 March 2020 | 21 days |
| The Maldives | 26 January 2020 | 10 March 2020 | 16 April 2020 | – |
| Bangladesh | 22 January 2020 | 9 March 2020 | 26 March 2020 | 50 days |
| Sri Lanka | 27 January 2020 | 13 March 2020 | 18 March 2020 | 52 days |
| Nepal | End of February 2020 | Mid-February 2020 | 19 March 2020 | – |
| Afghanistan | 25 January 2020 | – | 28 March 2020 | – |
This table shows the timeline of when various interventions were adopted in each country as a measure to reduce the number of people contracting COVID-19, nationally and internationally.
Fig. 1Coronavirus disease 2019: daily confirmed cases and 7-day average in South Asian countries from 1 February to 1 September 2020 (total confirmed cases in parentheses).
Fig. 2Coronavirus disease 2019: daily confirmed deaths and 7-day average in South Asian countries from 1 February to 1 September 2020 (total confirmed deaths in par
Population, morbidity and mortality statistics related to coronavirus disease 2019 for South Asian countries.
| Country | Population in millions | Active cases | Total confirmed cases | Cases per million population | Deaths | Fatality rate | Death per million population | Recovered | Recovery rate | Total tests performed | Tests per million |
|---|---|---|---|---|---|---|---|---|---|---|---|
| India | 1347.1 | 812,345 | 7,053,806 | 5111.6 | 108,334 | 1.5 | 79 | 6,383,441.0 | 90.4 | 121,567,138 | 366,648 |
| Pakistan | 221.5 | 9209.0 | 318,932 | 1444 | 6570 | 2.06 | 30 | 305,395.0 | 95.7 | 3,975,596 | 17,900 |
| Bangladesh | 164.9 | 79917 | 377,073 | 2290 | 5500 | 1.4 | 33 | 297,449 | 78.8 | 2,112,448 | 12,790 |
| Nepal | 29.2 | 36,367 | 105,684 | 3627 | 614 | 0.5 | 21 | 80,954 | 76.6 | 1,221,038 | 41,694 |
| The Maldives | 0.5 | 1147 | 10,586 | 20,089 | 34 | 0.32 | 63 | 9880 | 93.3 | 150,743 | 277,486 |
| Afghanistan | 39.1 | 5159 | 39,799 | 1022 | 1477 | 3.7 | 38 | 33,354 | 83.8 | 115,720 | 2954 |
| Sri Lanka | 21.4 | 1800 | 4628 | 216.0 | 13 | 0.2 | 1 | 3357 | 72.5 | 348,909 | 16,274 |
| Bhutan | 0.8 | 316 | 306 | 397.0 | 0 | 0.0 | <1 | 294 | 96.0 | 154,864 | 200,071 |
| Average | 228.06 | 118,282.5 | 988,851.8 | 4274.5 | 14,699 | 1.21 | 33.125 | 889,265.5 | 85.8 | 16,205,807 | 116,977.1 |