Browsing by Author "Kainga Henson"

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A Cross-Sectional Study on Socio-Ecological and Socio-Anthropological Determinants of COVID-19 in Lusaka Province of Zambia
(2022-9-28) Fonchin Alyce Fri; Mumba Chisoni; Basikolo Linda; Kallu Simegnew Adugna; Kainga Henson; Mwiinde Jezreel; Benhard Vistorina; Muma John Bwalya; Munyeme Musso
The COVID-19 disease constitutes a pandemic that has created an international public health emergency. Besides the significant health challenges, the impact of the COVID-19 disease has been the restriction of movements that have heavily affected the global economy. The first case of COVID-19 in Zambia was identified on March 18th, 2020. By the end of November 2020, the number of districts reporting COVID-19 infections had increased from 68 to 96, with reports of the highest transmission in the capital city, Lusaka, the Copperbelt, and Ndola districts. As COVID-19 spread across the nation of Zambia, several factors are responsible for the spread of the virus. Despite the extensive collection of research done on determinants of COVID-19 disease, the spatial distribution of the disease along socio-demographical and socio-ecological domains remains speculative and infectious diseases have been less looked into in the areas of anthropological dynamics. This study used a cross-sectional design to investigate the ecological and anthropological determinants of COVID-19 disease in four compounds in the Lusaka district of Zambia. A guided questionnaire was used to collect data from 301 participants. A descriptive analysis of all independent variables was done. Analysis for associations of dependent and independent variables and multivariate analysis of the independent variables significant at the bi-variate level was conducted to investigate the association between the dependent variable (Knowledge of anyone infected with COVID-19 virus) and the independent variables. The bi-variate analysis results showed that 14 independent variables with odds ratios greater than one were significantly associated with the spread of COVID-19. Two variables were found to be highly significant in the multivariable logistic regression analysis model. These included beliefs about COVID-19 (odds = 3.0; p = 0.003; CI 1.2-3.3), and participants area of residence (odds = 2.6; p = 0.003; CI = 1.2-5.5). Other significant multivariate variables were ecological variable; climate and anthropological variables; hand hygienic practices. The current research provides further insight into the potential role ecology and anthropology contribute to the spread of communicable diseases. The study recommends awareness of the population to enhance preparedness and response to reduce the spread of COVID-19.
Emergence of Nontuberculous Mycobacteria at the Human–Livestock–Environment Interface in Zambia
(2023-3-18) Zulu Mildred; Malama Sydney; Monde Ngula; Kainga Henson; Tembo Rabecca; Mwaba Florence; Saad Shereen Ahmed; Daka Victor; Mukubesa Andrew N.; Ndebe Joseph; Shambaba Obi; Munyeme Musso
The prevalence of nontuberculous mycobacteria (NTM) infections and disease is rising worldwide due to increased research, diagnostics capabilities, and awareness of the disease. There is limited prevalence data for NTM from different sources in Zambia. The aim of this study was to determine the prevalence and species distribution of NTM at the human–livestock–environment interface. A cross-section study was conducted in Namwala, Chipata, and Lundazi Districts of Zambia from April 2020 to December 2021. Sputum samples were collected from tuberculosis presumptive patients from different health centers, cattle tissues were collected from different abattoirs during routine post-mortem, and water samples were collected from different drinking points for humans and animals such as taps, boreholes, wells, rivers, dams and ponds, and then cultured following standard mycobacteriology procedures. Capilia TB-Neo assay was used to identify NTM from the positive cultures. DNA was extracted and the 16S to 23S rRNA (internal transcribed spacer region) (ITS) was amplified and sequenced to identify the species. The overall prevalence of NTM from humans, cattle, and water was 9.1% (72/794, 95% CI 7.2–11.3). The prevalence in humans was 7.8% (33/421, 95% CI 5.54–10.94), in cattle it was 10.6% (15/142, 95% CI 6.2–17.1), and in water it was 10.4% (24/231, 95% CI 6.9–15.2). Our study has shown, for the first time in Zambia, simultaneous isolation of NTM at the human–livestock–environment interface; M. avium complex and M. fortuitum were the most commonly isolated species. M. fortuitum and M. gordonae were isolated from all three sources, while M. abscessus was isolated from humans and water. The isolation of similar NTM species at the interface which are potentially pathogenic is a public health problem which merits further investigation.