| Literature DB >> 33130196 |
Shahul H Ebrahim1, Ernesto Gozzer2, Yusuf Ahmed3, Rubina Imtiaz4, John Ditekemena5, N M Mujeeb Rahman6, Patricia Schlagenhauf7, Saleh A Alqahtani8, Ziad A Memish9.
Abstract
The relentless spread of coronavirus disease 2019 (COVID-19) and its penetration into the least developed, fragile, and conflict-affected countries (LDFCAC) is a certainty. Expansion of the pandemic will be expedited by factors such as an abundance of at-risk populations, inadequate COVID-19 mitigation efforts, sheer inability to comply with community mitigation strategies, and constrained national preparedness. This situation will reduce the benefits achieved through decades of disease control and health promotion measures, and the economic progress made during periods of global development. Without interventions, and as soon as international travel and trade resume, reservoirs of COVID-19 and other vaccine-preventable diseases in LDFCAC will continue 'feeding' developed countries with repeated infection seeds. Assuring LDFCAC equity in access to medical countermeasures, funds to mitigate the pandemic, and a paradigm change in the global development agenda, similar to the post-World War II Marshall Plan for Europe, are urgently needed. We argue for a paradigm change in strategy, including a new global pandemic financing mechanism for COVID-19 and other future pandemics. This approach should assist LDFCAC in gaining access to and membership of a global interdisciplinary pandemic taskforce to enable in-country plans to train, leverage, and maintain essential functioning and also to utilize and enhance surveillance and early detection capabilities. Such a task force will be able to build on and expand research into the management of pandemics, protect vulnerable populations through international laws/treaties, and reinforce and align the development agenda to prevent and mitigate future pandemics. Lifting LDFCAC from COVID-related failure will offer the global community the best economic dividends of the century.Entities:
Keywords: COVID-19; Conflict-countries
Mesh:
Year: 2020 PMID: 33130196 PMCID: PMC7833301 DOI: 10.1016/j.ijid.2020.10.055
Source DB: PubMed Journal: Int J Infect Dis ISSN: 1201-9712 Impact factor: 3.623
Figure 1Countries designated as least developed and/or fragile and in conflict.
Source:https://data.worldbank.org/region/fragile-and-conflict-affected-situations https://unctad.org/en/Pages/ALDC/Least%20Developed%20Countries/UN-list-of-Least-Developed-Countries.aspx.
COVID-19: select predisposing factors and mitigation challenges in the least developed, fragile, and conflict-affected countries and territories.
| Predisposing factors | Preexisting diseases | Mitigation challenges | |||||
|---|---|---|---|---|---|---|---|
| Country/territory status | Slum residents as % of urban population | Diabetes burden, age 20–79 years | Tuberculosis burden | People living with HIV | Population without water on living premises | Population facing food crisis | Global Health Security Index |
| Conflicted-affected, fragile, and least developed | |||||||
| Afghanistan | 63 | 9.2 | 70 000 | 7200 | 60 | 37 (11.3) | 21.0 |
| Burkina Faso | 66 | 7.3 | 9500 | 96 000 | 85 | 6 (1.2) | 30.1 |
| Burundi | 58 | 5.1 | 12 000 | 82 000 | 93 | 2 (0.2) | 22.8 |
| Central African Republic | 93 | 6.0 | 25 000 | 110 000 | 92 | 41 (1.8) | 27.3 |
| Chad | 88 | 6.0 | 21 000 | 120 000 | 90 | 4 (0.6) | 28.8 |
| Congo, DR | 75 | 6.0 | 270 000 | 450 000 | 91 | 26 (15.6) | 26.5 |
| Eritrea | 70 | 5.1 | 3100 | 18 000 | 81 | -- | 22.4 |
| Gambia | 35 | 1.9 | 4000 | 26 000 | 55 | 10 (0.2) | 34.2 |
| Guinea-Bissau | 82 | 2.4 | 6800 | 44 000 | 68 | 10 (0.1) | 20.0 |
| Haiti | 74 | 6.7 | 20 000 | 160 000 | 93 | 35 (3.7) | 31.5 |
| Kiribati | -- | 22.5 | 400 | -- | 44 | -- | 19.2 |
| Liberia | 66 | 2.4 | 15 000 | 39 000 | 97 | 1 (0.4) | 35.1 |
| Mali | 56 | 2.4 | 10 000 | 150 000 | 68 | 3 (0.6) | 29.0 |
| Myanmar | 41 | 3.9 | 181 000 | 240 000 | 47 | 1 (0.7) | 43.4 |
| Niger | 70 | 2.4 | 19 000 | 36 000 | 87 | 7 (1.4) | 32.2 |
| Solomon Islands | -- | 19.0 | 480 | -- | 49 | -- | 20.7 |
| Somalia | 74 | 5.1 | 39 000 | 11 000 | 81 | 17 (2.1) | 16.6 |
| South Sudan | 96 | 10.2 | 16 000 | 190 000 | 98 | 61 (7.0) | 21.7 |
| Sudan | 92 | 22.1 | 30 000 | 59 000 | 62 | 14 (5.9) | 26.2 |
| Timor-Leste | -- | 6.7 | 6300 | -- | 50 | -- | 26.0 |
| Tuvalu | -- | 22.1 | 31 | -- | 3 | -- | 21.6 |
| Yemen | 61 | 5.4 | 14 000 | 11 000 | 51 | 53 (15.9) | 18.5 |
| Fragile and conflicted-affected | |||||||
| Cameroon | 38 | 6.0 | 47 000 | 540 000 | 71 | 8 (1.4) | 34.4 |
| Congo, Republic of | 47 | 6 | 20 000 | 89 000 | 63 | -- | 23.6 |
| Iraq | 47 | 8.8 | 16 000 | -- | 29 | 18 (1.8) | 25.8 |
| Kosovo | -- | -- | -- | -- | -- | -- | -- |
| Lebanon | 53 | 11.2 | 750 | 2500 | 19 | 30 (0.4) | 43.1 |
| Marshall Islands | -- | 30.5 | 250 | -- | 26 | -- | 18.2 |
| Micronesia | -- | 11.9 | -- | -- | 37 | -- | 32.8 |
| Nigeria | 50 | 3.1 | 429 000 | 1 900 000 | 80 | 5 (5.0) | 37.8 |
| Papua New Guinea | -- | 17.9 | 37 000 | 46 000 | 81 | -- | 27.8 |
| Syria | 19 | 13.5 | 3300 | <1000 | 29 | 36 (6.6) | 19.9 |
| Venezuela | 32 | 7.0 | 13 000 | -- | 21 | 32 (9.3) | 23.0 |
| West Bank, Gaza | -- | 9.5 | 38 | -- | 20 | -- | -- |
| Zimbabwe | 25 | 1.8 | 30 000 | 1 300 000 | 78 | 38 (3.6) | 38.2 |
| Least developed | |||||||
| Angola | 56 | 9.0 | 109 000 | 330 000 | 77 | 62 (0.6) | 25.2 |
| Bangladesh | 55 | 9.2 | 357 000 | 14 000 | 23 | 37 (1.3) | 35.0 |
| Benin | 62 | 1.0 | 6500 | 73 000 | 73 | -- | 28.8 |
| Bhutan | 70 | 10.3 | 1100 | 1300 | 13 | -- | 40.3 |
| Cambodia | 55 | 6.4 | 49 000 | 73 000 | 42 | -- | 39.2 |
| Comoros | 70 | 12.3 | 290 | <200 | 35 | -- | 27.2 |
| Djibouti | 66 | 5.1 | 2500 | 8800 | 54 | -- | 23.2 |
| Ethiopia | 74 | 4.3 | 165 000 | 690 000 | 84 | 27 (8.0) | 40.6 |
| Guinea | 43 | 2.4 | 22 000 | 120 000 | 65 | 3 (0.3) | 32.7 |
| Lao | 31 | 6.4 | 11 000 | 12 000 | 32 | -- | 43.1 |
| Lesotho | 51 | 4.5 | 13 000 | 340 000 | 75 | 30 (0.4) | 30.2 |
| Madagascar | 77 | 4.5 | 61 000 | 39 000 | 76 | 28 (1.3) | 40.1 |
| Malawi | 67 | 4.5 | 33 000 | 1 000 000 | 84 | 22 (3.3) | 28.0 |
| Mauritania | 80 | 7.1 | 4100 | 5600 | 37 | 50 (0.6) | 27.5 |
| Mozambique | 80 | 3.3 | 162 000 | 2 200 000 | 87 | 34 (1.7) | 28.1 |
| Nepal | 54 | 7.2 | 42 000 | 30 000 | 39 | -- | 35.1 |
| Rwanda | 53 | 5.1 | 7300 | 220 000 | 87 | 1 (0.1) | 34.2 |
| Sao Tome | 87 | 2.1 | 260 | -- | 64 | -- | 17.7 |
| Senegal | 39 | 2.4 | 19 000 | 42 000 | 40 | 3 (0.4) | 37.9 |
| Sierra Leone | 76 | 2.4 | 23 000 | 70 000 | 89 | 4 (0.3) | 38.2 |
| Togo | 51 | 2.4 | 2800 | 110 000 | 85 | -- | 32.5 |
| Uganda | 54 | 2.5 | 86 000 | 1 4 00 000 | 94 | 4 (0.5) | 44.3 |
| Tanzania | 51 | 5.7 | 142 000 | 1 600 000 | 81 | -- | 36.4 |
| Vanuatu | -- | 11.9 | 130 | -- | 50 | -- | 26.1 |
| Zambia | 54 | 4.5 | 60 000 | 1 200 000 | 77 | 24 (2.3) | 28.7 |
--, data unavailable. https://data.worldbank.org/region/fragile-and-conflict-affected-situations.
https://unctad.org/en/Pages/ALDC/Least%20Developed%20Countries/UN-list-of-Least-Developed-Countries.aspx.
https://data.worldbank.org/indicator/en.pop.slum.ur.zs, since 2014.
https://data.worldbank.org/indicator/sh.sta.diab.zs, 2019.
https://www.who.int/tb/country/data/download/en/“TB_burden_countries_2020-04-20”, 2018 data.
https://www.unaids.org/sites/default/files/media_asset/2019-UNAIDS-data_en.pdf, 2019 estimates.
https://www.who.int/water_sanitation_health/publications/jmp-2017/en/, 2015 data.
https://www.wfp.org/publications/2020-global-report-food-crises 2018–2019 data, Criteria for food crisis estimation: households either have food consumption gaps that are reflected by high or above usual acute malnutrition, or are marginally able to meet minimum food needs but only by depleting essential livelihood assets or through crisis-coping strategies.
https://www.ghsindex.org/ Global Health Security Index. The perfect score is 100.
Based on select populations or regions of the country or refugee populations.