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Full-Text Articles in Medicine and Health Sciences
Covid-19 Vaccination In Sindh Province, Pakistan: A Modelling Study Of Health Impact And Cost-Effectiveness, Carl A B. Pearson, Fiammetta Bozzani, Simon R. Procter, Nicholas G. Davies, Maryam Huda, Henning Tarp Jensen, Marcus Keogh-Brown, Muhammad Khalid, Sedona Sweeney, Sergio Torres-Rueda
Covid-19 Vaccination In Sindh Province, Pakistan: A Modelling Study Of Health Impact And Cost-Effectiveness, Carl A B. Pearson, Fiammetta Bozzani, Simon R. Procter, Nicholas G. Davies, Maryam Huda, Henning Tarp Jensen, Marcus Keogh-Brown, Muhammad Khalid, Sedona Sweeney, Sergio Torres-Rueda
Community Health Sciences
Background: Multiple Coronavirus Disease 2019 (COVID-19) vaccines appear to be safe and efficacious, but only high-income countries have the resources to procure sufficient vaccine doses for most of their eligible populations. The World Health Organization has published guidelines for vaccine prioritisation, but most vaccine impact projections have focused on high-income countries, and few incorporate economic considerations. To address this evidence gap, we projected the health and economic impact of different vaccination scenarios in Sindh Province, Pakistan (population: 48 million).
Methods and findings: We fitted a compartmental transmission model to COVID-19 cases and deaths in Sindh from 30 April to 15 …
Exploring Community Perceptions, Attitudes And Practices Regarding The Covid-19 Pandemic In Karachi, Pakistan, Anam Shahil Feroz, Naureen Akber Ali, Ridah Feroz, Noshaba Akber, Salima Nazim Meghani
Exploring Community Perceptions, Attitudes And Practices Regarding The Covid-19 Pandemic In Karachi, Pakistan, Anam Shahil Feroz, Naureen Akber Ali, Ridah Feroz, Noshaba Akber, Salima Nazim Meghani
Community Health Sciences
Background: The Government of Pakistan is facing difficulty to contain the surge of COVID-19 due to the country's social, political, economical and cultural context. Experiences from the previous epidemic suggest that community perceptions, social norms and cultural practices can impede COVID-19 containment. To understand social responses towards COVID-19, the study aims to explore the understanding of COVID-19 and the acceptance of control measures among community members.
Methods: We conducted an exploratory qualitative study using a purposive sampling approach, at two communities of Karachi, Pakistan. In-depth interviews were conducted with community members including, young, middle-aged and older adults of both genders. …
Perceptions And Experiences Of Healthcare Providers During Covid-19 Pandemic In Karachi, Pakistan: An Exploratory Qualitative Study, Anam Shahil Feroz, Nousheen Pradhan, Zarak Hussain Ahmed, Mashal Murad Shah, Nargis Asad, Sarah Saleem, Sameen Siddiqi
Perceptions And Experiences Of Healthcare Providers During Covid-19 Pandemic In Karachi, Pakistan: An Exploratory Qualitative Study, Anam Shahil Feroz, Nousheen Pradhan, Zarak Hussain Ahmed, Mashal Murad Shah, Nargis Asad, Sarah Saleem, Sameen Siddiqi
Community Health Sciences
Objective: To explore healthcare provider's perspectives and experiences of the barriers and facilitators to treat and manage COVID-19 cases.
Design and setting: We conducted an exploratory qualitative study using a purposive sampling approach, at a private tertiary care teaching hospital in Karachi, Pakistan. Study data were analysed manually using the conventional content analysis technique.
Participants: Key-informant interviews (KIIs) were conducted with senior management and hospital leadership and in-depth interviews (IDIs) were conducted with front-line healthcare providers.
Results: A total of 31 interviews (KIIs=19; IDIs=12) were conducted, between April and May 2020. Three overarching themes emerged. The first was 'challenges faced …
Exploring Equity In Health And Poverty Impacts Of Control Measures For Sars-Cov-2 In Six Countries, Sedona Sweeney, Theo Prudencio Juhani Capeding, Rosalind Eggo, Maryam Huda, Mark Jit, Don Mudzengi, Nichola R. Naylor, Simon Procter, Matthew Quaife, Lela Serebryakova
Exploring Equity In Health And Poverty Impacts Of Control Measures For Sars-Cov-2 In Six Countries, Sedona Sweeney, Theo Prudencio Juhani Capeding, Rosalind Eggo, Maryam Huda, Mark Jit, Don Mudzengi, Nichola R. Naylor, Simon Procter, Matthew Quaife, Lela Serebryakova
Community Health Sciences
Background: Policy makers need to be rapidly informed about the potential equity consequences of different COVID-19 strategies, alongside their broader health and economic impacts. While there are complex models to inform both potential health and macro-economic impact, there are few tools available to rapidly assess potential equity impacts of interventions.
Methods: We created an economic model to simulate the impact of lockdown measures in Pakistan, Georgia, Chile, UK, the Philippines and South Africa. We consider impact of lockdown in terms of ability to socially distance, and income loss during lockdown, and tested the impact of assumptions on social protection coverage …
Knowledge, Attitudes And Practices Towards Covid-19 Among Pakistani Residents: Information Access And Low Literacy Vulnerabilities, Zafar Fatmi, Shafaq Mahmood, Waqas Hameed, Ibtisam Qazi, Muhammad Siddiqui, Anny Dhanwani, Sameen Siddiqi
Knowledge, Attitudes And Practices Towards Covid-19 Among Pakistani Residents: Information Access And Low Literacy Vulnerabilities, Zafar Fatmi, Shafaq Mahmood, Waqas Hameed, Ibtisam Qazi, Muhammad Siddiqui, Anny Dhanwani, Sameen Siddiqi
Community Health Sciences
Background: Coronavirus disease (COVID-19) has accentuated the need for speedy access to information. Digital divide and socio-demographic disparity create an information hiatus and therefore unhealthy practices with regard to dealing with COVID-19, particularly in low- and middle-income countries.
Aims: We assessed knowledge, attitudes, practices and their determinants regarding COVID-19 in Pakistan during March-April 2020.
Methods: 905 adults ≥18 years (males and females) participated: 403 from a web-based survey; 365 from an urban survey; and 137 from a rural survey. Frequency of adequate knowledge, attitudes and practices for the three populations was determined based on available global guidelines. Multivariable logistic regression …
Nepal's Response To Contain Covid-19 Infection, Rano Mal Piryani, Suneel Piryani, Jay Narayan Shah
Nepal's Response To Contain Covid-19 Infection, Rano Mal Piryani, Suneel Piryani, Jay Narayan Shah
Community Health Sciences
Nepal is a landlocked country bordering two most populous countries, India and China. Nepal shares open border with India from three sides, east, south and west. And, in north with China, where the novel coronavirus infection (CVOVID-19) began in late December 2019. The first confirmed imported case in Nepal was reported in 2nd week of January 2020. The initial response of Nepal to COVID-19 were comparably slow but country geared efforts after it was declared a 'global pandemic' by WHO on 11 March, 2020. Government of Nepal's steps from 18 March, 2020 led to partial lock down and countrywide lockdown …
Exploring The Potential Of Artificial Intelligence And Machine Learning To Combat Covid-19 And Existing Opportunities For Lmic: A Scoping Review, Maleeha Naseem, Ramsha Akhund, Hajra Arshad, Muhammad Talal Ibrahim
Exploring The Potential Of Artificial Intelligence And Machine Learning To Combat Covid-19 And Existing Opportunities For Lmic: A Scoping Review, Maleeha Naseem, Ramsha Akhund, Hajra Arshad, Muhammad Talal Ibrahim
Community Health Sciences
Background: In the face of the current time-sensitive COVID-19 pandemic, the limited capacity of healthcare systems resulted in an emerging need to develop newer methods to control the spread of the pandemic. Artificial Intelligence (AI), and Machine Learning (ML) have a vast potential to exponentially optimize health care research. The use of AI-driven tools in LMIC can help in eradicating health inequalities and decrease the burden on health systems.
Methods: The literature search for this Scoping review was conducted through the PubMed database using keywords: COVID-19, Artificial Intelligence (AI), Machine Learning (ML), and Low Middle-Income Countries (LMIC). Forty-three articles were …