Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Government & Resilience Svāsthya: Trends in General Medicine and Public Health
Khan, Inam Ullah
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Public Health Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Machine Learning Identification on Twitter Towards Combating Covid-19 (SARS-CoV-2): Pandemic Attacks and Urban Resilience in Indonesia Putri, Sapen Sartika Unyi; Khan, Inam Ullah
Government & Resilience Vol. 1 No. 1 (2023): Government & Resilience (November 2023)
Publisher : Dealings Foundation Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62503/gr.v1i1.5

Abstract

The purpose of this study is to detect the topic and discourse of the development of covid-19 and its resistance on social media Twitter in Indonesia. This research method is surveyed through Machine Learning to filter, track, and predict the spread of Covid-19 (SARS-CoV-2) on Twitter, and is assisted by Nvivo 12 pro and Ncapture analysis tools to collect data from big data on Twitter. The results of this study show ML (Machine Learning) plays a role in fighting the virus, especially looking at it from the perspective of screening, forecasting, and vaccines spread across various social media accounts on Twitter. A comprehensive survey of ML algorithms and models used in covid-19 (SARS-CoV-2) development expeditions on Twitter can help fight the virus. This research shows that the hashtag #lawancovid19 (Fight Covid-19) has relevance to several new hashtags that are still relevant in campaigning against covid-19 on Twitter to combat community and urban vulnerabilities in Indonesia. Collectively, characteristics such as Tagar #ayovaksin (let's get vaccinated), #jagajarak (keep your distance), and #ayopakaimasker (let's wear masks) support the resistance to covid-19 in Indonesia the account (@Username) that is most often @mention in the covid-19 cloud l action is the account of the @jokowi (President of Indonesia). The social media movement (Twitter) in encouraging community resilience and urban resilience through digital communication against Covid-19 (SARS-CoV-2) has predominantly succeeded in shaping understanding, behavior, and prudence in interacting directly in public spaces. This is important in the context of assessing messages and communications within the overall social media (Twitter) communication activities in response to online resistance measures in support of public health as well as to digitally address the global pandemic. This research contributes to providing insight into the dynamics of covid-19 (SARS-CoV-2) combat communication on slot resmi Social-Media (Twitter) and supporting public health measures.
Prevalence and associated risk factors of gout among patients at Khyber Teaching Hospital Peshawar: A cross-sectional study Khan, Inam Ullah; Khan, Moheb Ullah; Khan, Shameem; Ullah, Ahmad; Khan, Muhammad Waqas; Ullah, Wahid
Svāsthya: Trends in General Medicine and Public Health Vol. 1 No. 3 (2024): November 2024
Publisher : PT. Mega Science Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70347/svsthya.v1i3.72

Abstract

Hyperuricemia and gout represent significant global public health challenges with varying prevalence rates across populations. This study aimed to investigate the prevalence and associated risk factors for gout among patients at the Khyber Teaching Hospital, Peshawar, Pakistan. This cross-sectional analytical study was conducted from January to March 2024 and involved 100 patients (57% female, 43% male) aged 18–65 years. Participants were recruited via systematic random sampling from the orthopedic department. Data collection included demographic information, anthropometric measurements, medical history, and serum uric acid levels, which were analyzed via the uricase enzymatic colorimetric method. 93% of the patients were between 21 and 60 years old, with 54% reporting a family history of gout. Notably, 95% of the participants presented elevated uric acid levels (>6.8 mg/dL in men, >6.0 mg/dL in women), with 40% falling within the 7.1–8.0 mg/dL range. The major comorbidities included hypertension (72%), thyroid problems (45%), and kidney disease (34%). Protein-rich diet consumption was reported by 84% of the participants, whereas alcohol consumption was reported by 17%. The general health assessment classified 65% of the participants as unhealthy. The findings indicate a greater prevalence of gout among females in this population, contradicting traditional patterns, along with significant associations with comorbidities and dietary factors. This study highlights the need for sex-specific screening protocols and comprehensive management approaches that address both primary gout symptoms and associated conditions. These results emphasize the importance of early intervention and lifestyle modification strategies in gout management within the South Asian.
Co-Authors Khan, Moheb Ullah Khan, Muhammad Waqas Khan, Shameem Putri, Sapen Sartika Unyi Ullah, Ahmad Ullah, Wahid