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1.
Glob Health Res Policy ; 6(1): 36, 2021 09 30.
Article in English | MEDLINE | ID: covidwho-1440961

ABSTRACT

BACKGROUND: The highly contagious nature of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) places physicians in South Asia at high risk of contracting the infection. Accordingly, we conducted this study to provide an updated account of physician deaths in South Asia during the COVID-19 pandemic and to analyze and compare the different characteristics associated with physician mortality amongst the countries of the region. METHODS: We performed a cross-sectional study by using published news reports on the websites of news agencies from 9 selected countries in South Asia. Our study included only those physicians and doctors who died after contracting COVID-19 from their respective workplaces. All available data about the country of origin, type of, sex, age, medical or surgical specialty, and date of death were included. RESULTS: The total number of physician deaths reported due to COVID-19 in our study was 170, with half (87/170, 51%) of the deaths reported from Iran. Male physician deaths were reported to be 145 (145/170 = 85%). Internal Medicine (58.43%) was the most severely affected sub-specialty. The highest physician mortality rate in the general population recorded in Afghanistan (27/1000 deaths). General physicians from India [OR = 11.00(95% CI = 1.06-114.08), p = 0.045] and public sector medical practitioners from Pakistan [aOR = 4.52 (95% CI = 1.18-17.33), p = 0.028] were showing significant mortality when compared with other regions in multivariate logistic regression. CONCLUSION: An increased number of physician deaths, owing to COVID-19, has been shown in South Asia. This could be due to decreased personal protective equipment and the poor health care management systems of the countries in the region to combat the pandemic. Future studies should provide detailed information of characteristics associated with physician mortalities along with the main complications arising due to the virus.


Subject(s)
COVID-19/mortality , Mortality , Occupational Diseases/mortality , Occupational Exposure/statistics & numerical data , Occupational Health/statistics & numerical data , Physicians/statistics & numerical data , Adult , Afghanistan/epidemiology , Aged , Bangladesh/epidemiology , Bhutan/epidemiology , COVID-19/virology , Cross-Sectional Studies , Female , Global Health/statistics & numerical data , Humans , India/epidemiology , Indian Ocean Islands/epidemiology , Iran/epidemiology , Male , Middle Aged , Nepal/epidemiology , Occupational Diseases/virology , Pakistan/epidemiology , Sri Lanka/epidemiology
2.
Int J Health Plann Manage ; 36(S1): 182-189, 2021 May.
Article in English | MEDLINE | ID: covidwho-1318705

ABSTRACT

Being a small island and low-middle income country (LMIC) heavily dependent on global markets for sustaining its basic needs and health system, Maldives faced specific challenges during the COVID-19 pandemic. This was reinforced through tensions between the heavily centralized healthcare delivery and a partially decentralized public health system. Using the pillars of pandemic response proposed by the World Health Organisation, this article explores the planning assumptions, resource estimations and strategies adopted to equip the health system with resources for the pandemic response. The resource need estimates based on projections for COVID-19 identified a shortfall of medical professionals to care for patients while maintaining 55% of the workforce for regular healthcare across the atolls. The findings show that while the policy of lockdown bought time to increase hospital beds and devices, the country was unable to increase the healthcare workforce. Furthermore, as the lockdown eased, the exponential increase of cases took Maldives to the global one per capita incidence. Despite this, with cautious planning and use of resources, the country has so far managed to maintain low mortality from COVID-19. The lessons from this experience are paramount in future pandemic response planning, not only for Maldives, but other small island LMICs.


Subject(s)
COVID-19 , Delivery of Health Care/organization & administration , Health Resources/organization & administration , Health Resources/supply & distribution , Humans , Indian Ocean Islands , Pandemics , SARS-CoV-2
3.
Int J Environ Res Public Health ; 18(13)2021 06 29.
Article in English | MEDLINE | ID: covidwho-1295822

ABSTRACT

This analysis of surveys from six low- and middle-income countries (LMICs) aimed to (i) estimate the prevalence of disability among older adults and (ii) compare experiences and participation in key life areas among older people with and without disabilities which may show vulnerability during the COVID-19 pandemic. Data were analysed from district-level or national surveys in Cameroon, Guatemala, Haiti, India, Nepal and the Maldives, which across the six databases totalled 3499 participants aged 60 years and above including 691 people with disabilities. Disability was common among adults 60+, ranging from 9.7% (8.0-11.8) in Nepal to 39.2% in India (95% CI 34.1-44.5%). Mobility was the most commonly reported functional difficulty. In each setting, older people with disabilities were significantly less likely to be working and reported greater participation restrictions and environmental barriers in key life areas compared to people in the same age categories without disabilities (p < 0.05). Disability is common in this population, and older people with disabilities may have greater difficulties participating in COVID-19 responses and have high economic vulnerabilities. It is imperative to prioritise the needs of older people with disabilities in the COVID-19 pandemic, including ensuring accessibility of both health services and the community in general.


Subject(s)
COVID-19 , Disabled Persons , Aged , Cameroon , Developing Countries , Guatemala , Haiti , Humans , India/epidemiology , Indian Ocean Islands , Nepal/epidemiology , Pandemics , SARS-CoV-2
4.
J Med Case Rep ; 15(1): 57, 2021 Feb 02.
Article in English | MEDLINE | ID: covidwho-1060952

ABSTRACT

BACKGROUND: Maldives reported its first Coronavirus disease 2019 (COVID-19) case on March 7th, 2020. Since then more than 9400 positive cases and 33 deaths have been reported. Recently studies have shown that COVID-19 patients with diabetes had a poor prognosis and a higher mortality rate when compared to the non-diabetic patients. Poorly controlled diabetic patients had a higher incidence of complications like diabetic ketoacidosis (DKA) and hyperosmolar hyperglycemic state (HHS) which might have been precipitated by COVID-19. DKA and HHS are potentially lethal but preventable conditions. During this pandemic, although cases of uncontrolled diabetes are frequently reported, there is scarcity in reporting of cases with diabetic emergencies. CASE PRESENTATION: Case 1 was a 53-year old Asian male, admitted on Day 10th of illness with DKA with acute kidney injury, and Moderate COVID-19. Case 2 was a 72-year old Asian male, admitted with mild COVID-19 who developed HHS with acute kidney injury on day 9 of illness. Both patients were managed conservatively in intensive care unit, with intravenous fluids and insulin. CONCLUSION: Clinicians should focus on close monitoring of diabetic patients with COVID-19, to prevent diabetic emergencies like DKA and HHS. It is important to aggressively manage these conditions for a favorable outcome.


Subject(s)
COVID-19/complications , Diabetic Ketoacidosis/therapy , Hyperglycemic Hyperosmolar Nonketotic Coma/therapy , Aged , COVID-19/epidemiology , Conservative Treatment , Emergencies , Humans , Indian Ocean Islands/epidemiology , Intensive Care Units , Male , Middle Aged , Prognosis , SARS-CoV-2
6.
Eur Rev Med Pharmacol Sci ; 24(15): 8226-8231, 2020 08.
Article in English | MEDLINE | ID: covidwho-695406

ABSTRACT

OBJECTIVE: To explore whether the climate has played a role in the COVID-19 outbreak, we compared virus lethality in countries closer to the Equator with others. Lethality in European territories and in territories of some nations with a non-temperate climate was also compared. MATERIALS AND METHODS: Lethality was calculated as the rate of deaths in a determinate moment from the outbreak of the pandemic out of the total of identified positives for COVID-19 in a given area/nation, based on the COVID-John Hopkins University website. Lethality of countries located within the 5th parallels North/South on 6 April and 6 May 2020, was compared with that of all the other countries. Lethality in the European areas of The Netherlands, France and the United Kingdom was also compared to the territories of the same nations in areas with a non-temperate climate. RESULTS: A lower lethality rate of COVID-19 was found in Equatorial countries both on April 6 (OR=0.72 CI 95% 0.66-0.80) and on May 6 (OR=0.48, CI 95% 0.47-0.51), with a strengthening over time of the protective effect. A trend of higher risk in European vs. non-temperate areas was found on April 6, but a clear difference was evident one month later: France (OR=0.13, CI 95% 0.10-0.18), The Netherlands (OR=0.5, CI 95% 0.3-0.9) and the UK (OR=0.2, CI 95% 0.01-0.51). This result does not seem to be totally related to the differences in age distribution of different sites. CONCLUSIONS: The study does not seem to exclude that the lethality of COVID-19 may be climate sensitive. Future studies will have to confirm these clues, due to potential confounding factors, such as pollution, population age, and exposure to malaria.


Subject(s)
Climate , Coronavirus Infections/mortality , Pneumonia, Viral/mortality , Seasons , Weather , Betacoronavirus , Brunei/epidemiology , Burundi/epidemiology , COVID-19 , Congo/epidemiology , Coronavirus Infections/epidemiology , Ecuador/epidemiology , Equatorial Guinea/epidemiology , Europe , France/epidemiology , Gabon/epidemiology , Humans , Indian Ocean Islands/epidemiology , Indonesia/epidemiology , Kenya/epidemiology , Malaysia/epidemiology , Melanesia/epidemiology , Micronesia/epidemiology , Netherlands/epidemiology , Pandemics , Papua New Guinea/epidemiology , Pneumonia, Viral/epidemiology , Rwanda/epidemiology , SARS-CoV-2 , Samoa/epidemiology , Sao Tome and Principe/epidemiology , Seychelles/epidemiology , Singapore/epidemiology , Somalia/epidemiology , Timor-Leste/epidemiology , Tropical Climate , Uganda/epidemiology , United Kingdom/epidemiology
7.
Sci Rep ; 10(1): 6873, 2020 04 23.
Article in English | MEDLINE | ID: covidwho-116642

ABSTRACT

Bats provide key ecosystem services such as crop pest regulation, pollination, seed dispersal, and soil fertilization. Bats are also major hosts for biological agents responsible for zoonoses, such as coronaviruses (CoVs). The islands of the Western Indian Ocean are identified as a major biodiversity hotspot, with more than 50 bat species. In this study, we tested 1,013 bats belonging to 36 species from Mozambique, Madagascar, Mauritius, Mayotte, Reunion Island and Seychelles, based on molecular screening and partial sequencing of the RNA-dependent RNA polymerase gene. In total, 88 bats (8.7%) tested positive for coronaviruses, with higher prevalence in Mozambican bats (20.5% ± 4.9%) as compared to those sampled on islands (4.5% ± 1.5%). Phylogenetic analyses revealed a large diversity of α- and ß-CoVs and a strong signal of co-evolution between CoVs and their bat host species, with limited evidence for host-switching, except for bat species sharing day roost sites. These results highlight that strong variation between islands does exist and is associated with the composition of the bat species community on each island. Future studies should investigate whether CoVs detected in these bats have a potential for spillover in other hosts.


Subject(s)
Alphacoronavirus/genetics , Betacoronavirus/genetics , Chiroptera/virology , Coronavirus Infections/epidemiology , Coronavirus Infections/veterinary , Phylogeny , Zoonoses/epidemiology , Animals , Base Sequence , Coronavirus Infections/virology , DNA, Viral/genetics , Ecosystem , Evolution, Molecular , Genetic Variation , Host Specificity , Indian Ocean Islands/epidemiology , Phylogeography/methods , Prevalence , RNA-Dependent RNA Polymerase/genetics , Real-Time Polymerase Chain Reaction , Zoonoses/virology
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