| Literature DB >> 32654854 |
Heather J Zar1, Jeanette Dawa2, Gilberto Bueno Fischer3, Jose A Castro-Rodriguez4.
Abstract
As the coronavirus pandemic extends to low and middle income countries (LMICs), there are growing concerns about the risk of coronavirus disease (COVID-19) in populations with high prevalence of comorbidities, the impact on health and economies more broadly and the capacity of existing health systems to manage the additional burden of COVID-19. The direct effects of COVID are less of a concern in children, who seem to be largely asymptomatic or to develop mild illness as occurs in high income countries; however children in LMICs constitute a high proportion of the population and may have a high prevalence of risk factors for severe lower respiratory infection such as HIV or malnutrition. Further diversion of resources from child health to address the pandemic among adults may further impact on care for children. Poor living conditions in LMICs including lack of sanitation, running water and overcrowding may facilitate transmission of SARS-CoV-2. The indirect effects of the pandemic on child health are of considerable concern, including increasing poverty levels, disrupted schooling, lack of access to school feeding schemes, reduced access to health facilities and interruptions in vaccination and other child health programs. Further challenges in LMICs include the inability to implement effective public health measures such as social distancing, hand hygiene, timely identification of infected people with self-isolation and universal use of masks. Lack of adequate personal protective equipment, especially N95 masks is a key concern for health care worker protection. While continued schooling is crucial for children in LMICs, provision of safe environments is especially challenging in overcrowded resource constrained schools. The current crisis is a harsh reminder of the global inequity in health in LMICs. The pandemic highlights key challenges to the provision of health in LMICs, but also provides opportunities to strengthen child health broadly in such settings.Entities:
Keywords: COVID; Child; Indirect effects; Low-middle income countries; Resource allocation
Mesh:
Year: 2020 PMID: 32654854 PMCID: PMC7316049 DOI: 10.1016/j.prrv.2020.06.016
Source DB: PubMed Journal: Paediatr Respir Rev ISSN: 1526-0542 Impact factor: 2.726
Summary of COVID-19 and health indicator data for selected low- and middle-income countries.
| Country | Region | COVID indicators | Health system indicators | Water, sanitation and hygiene indicators | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No of cases as at 13 June 2020 | No. of deaths as at 13 June 2020 | Case fatality rate | Human development index | Antiretroviral therapy coverage among people living with HIV | Effective tuberculosis treatment coverage | Antenatal care coverage (4 visits) | Measles vaccine second dose coverage | Population with at least basic access to drinking water | Population using basic sanitation services | Population with basic hygiene facilities | ||
| Low income country | ||||||||||||
| Haiti | Latin America & Caribbean | 3941 | 61 | 2% | 0.503 | 58% | 60% | 67% | 38% | 65% | 35% | 23% |
| Nepal | South Asia | 5062 | 16 | 0% | 0.579 | 56% | 64% | 69% | 69% | 89% | 62% | 48% |
| Sierra Leone | Sub-Saharan Africa | 1103 | 51 | 5% | 0.438 | 41% | 55% | 78% | 55% | 61% | 16% | 19% |
| Syrian Arab Republic | Middle East & North Africa | 164 | 6 | 4% | 0.549 | 20% | 73% | 64% | 54% | 97% | 91% | 71% |
| Tajikistan | Europe & Central Asia | 4902 | 49 | 1% | 0.656 | 46% | 71% | 64% | 97% | 81% | 97% | 73% |
| Lower middle-income country | ||||||||||||
| Bangladesh | South Asia | 81,523 | 1095 | 1% | 0.614 | 22% | 58% | 37% | 93% | 97% | 48% | 35% |
| Djibouti | Middle East & North Africa | 4441 | 38 | 1% | 0.495 | 30% | 68% | 26% | 81% | 76% | 64% | |
| Kenya | Sub-Saharan Africa | 3305 | 96 | 3% | 0.579 | 68% | 39% | 10% | 45% | 59% | 29% | 25% |
| Nicaragua | Latin America & Caribbean | 1655 | 55 | 3% | 0.651 | 53% | 70% | 88% | 95% | 82% | 74% | |
| Philippines | East Asia & Pacific | 24,787 | 1052 | 4% | 0.712 | 44% | 53% | 87% | 40% | 94% | 77% | 78% |
| Ukraine | Europe & Central Asia | 30,506 | 880 | 3% | 0.750 | 52% | 56% | 87% | 90% | 94% | 96% | |
| Upper middle-income country | ||||||||||||
| Armenia | Europe & Central Asia | 16,004 | 264 | 2% | 0.760 | 53% | 63% | 96% | 96% | 99% | 94% | 94% |
| Brazil | Latin America & Caribbean | 802,828 | 40,919 | 5% | 0.761 | 66% | 62% | 91% | 69% | 98% | 88% | |
| Iran (Islamic Republic of) | Middle East & North Africa | 182,545 | 8659 | 5% | 0.797 | 20% | 70% | 94% | 98% | 95% | 88% | |
| Mexico | Latin America & Caribbean | 133,974 | 15,944 | 12% | 0.767 | 70% | 64% | 94% | 99% | 99% | 91% | 88% |
| Peru | Latin America & Caribbean | 214,788 | 6109 | 3% | 0.759 | 73% | 70% | 94% | 66% | 91% | 74% | |
| South Africa | Sub-Saharan Africa | 61,927 | 1354 | 2% | 0.705 | 62% | 44% | 76% | 50% | 93% | 76% | 44% |
| Sri Lanka | South Asia | 1880 | 11 | 1% | 0.780 | 45% | 54% | 93% | 99% | 89% | 96% | |
| Thailand | East Asia & Pacific | 3134 | 58 | 2% | 0.765 | 75% | 47% | 91% | 87% | 99% | 99% | 84% |
Country income classification was obtained from the World Bank[2]; COVID-19 related data as at 13 June 2020 was obtained from the World Health Organisation (WHO)[1]; health indicator data was obtained from the WHO Global Health Observatory[9]; water, sanitation and hygiene data was obtained from the WHO Global Health Observatory and UNICEF [9], [10]. Data was unavailable for blank cells. Darker shading reflects better indicators.