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1.
Int J Infect Dis ; 146: 107141, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-38901728

RESUMO

OBJECTIVES: In Sindh Province, Pakistan, confirmed Crimean-Congo haemorrhagic fever (CCHF) increased from zero in 2008 to 16 in 2015-2016. To counter this increase, in 2016, we initiated structured CCHF surveillance to improve estimates of risk factors for CCHF in Sindh and to identify potential interventions. METHODS: Beginning in 2016, all referral hospitals in Sindh reported all CCHF cases to surveillance agents. We used laboratory-confirmed cases from CCHF surveillance from 2016 to 2020 to compute incidence rates and in a case-control study to quantify risk factors for CCHF. RESULTS: For the 5 years, CCHF incidence was 4.2 per million for the Sindh capital, Karachi, (68 cases) and 0.4 per million elsewhere. Each year, the onset of new cases peaked during the 13 days during and after the 3-day Eid-al-Adha festival, when Muslims sacrificed livestock, accounting for 38% of cases. In Karachi, livestock for Eid were purchased at a seasonal livestock market that concentrated up to 700,000 livestock. CCHF cases were most common (44%) among the general population that had visited livestock markets (odds ratio = 102). CONCLUSIONS: Urban CCHF in Sindh province is associated with the general public's exposure to livestock markets in addition to high-risk occupations.


Assuntos
Vírus da Febre Hemorrágica da Crimeia-Congo , Febre Hemorrágica da Crimeia , Febre Hemorrágica da Crimeia/epidemiologia , Paquistão/epidemiologia , Humanos , Fatores de Risco , Masculino , Estudos de Casos e Controles , Feminino , Pessoa de Meia-Idade , Adulto , Incidência , Animais , Adolescente , Adulto Jovem , Idoso , Criança , Gado/virologia , Pré-Escolar
2.
Int J Gen Med ; 14: 8929-8934, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34876834

RESUMO

INTRODUCTION: In Pakistan, the incidence rate of aplastic anemia is 3.5 cases/million. The associated risk factors are exposure to pesticides, chemicals, and some drugs. The link between aplastic anemia and socio-demographic factors is debatable. PURPOSE: We conducted this study to investigate the role of socio-economic and -demographic factors with aplastic anemia. METHODOLOGY: A total of 191 lab-confirmed incident cases of aplastic anemia were identified from the tertiary hospital of Karachi-Pakistan in between 2015 and 2018. Age and gender-matched 694 controls were randomly selected from the same institute admitted or visited for other non-neoplastic conditions. Socio-demographic and exposure information was gathered using a data collection form. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were computed for selected socio-demographic factors. RESULTS: Among socio-demographic factors, significant associations of aplastic anemia risk emerged for illiteracy (aOR: 2.3; 1.5; 3.5) occupation (any type) (aOR: 2.1; 1.7; 2.5), living in rural environments (aOR: 2.9; 1.9; 4.2). The odds of aplastic anemia increased with the age group 31-50 years (aOR: 1.8; 1.7; 3.5) and >50 years (aOR: 2.5; 2.1; 4.2). We observed no association of income with the risk of aplastic anemia. CONCLUSION: This study highlights the importance of socio-demographic factors as a risk factor for the development of aplastic anemia in the population of Pakistan. In order to reduce disease incidence, health education program and use of personal protective equipment and organization of screening camps in high-risk population is warranted.

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