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Introduction acute respiratory infection (ARI) is one of the leading causes of morbidity and mortality among children under the age of five years globally accounting for 16% of deaths. In Zambia, ARI accounts for 30-40% of children's outpatient attendance and 20-30% of hospital admissions. We assessed trends and factors associated with ARI among under-five children in Zambia from 1996 to 2014. Methods we analysed the Zambia demographic and health survey data for 1996, 2002, 2007 and 2014 of under five children and their mothers. We extracted data using a data extraction tool from the women's file. We analysed trends using chi square for trends. We conducted a complex survey multivariable logistic regression analysis, reported adjusted odds ratios (AOR) 95% confidence intervals (CI) and p-values. Results we included a total of 6,854 and 2,389 (8%) had symptoms consistent with ARI. A 2% upward trend was noted between the 1996 and 2002 surveys but a sharp decline of 10% occurred in 2007. The chi2 trend test was significant p < 0.001. Children whose mothers had secondary or higher education were less likely to have ARI (AOR 0.30 95% CI 0.15-0.58) compared to those with no education. Underweight children had 1.50 times increased odds of having ARI (AOR 1.50 95% CI 1.25 - 1.68) compared with children who were not. Use of biomass fuels such as charcoal (AOR 2.67 95% CI 2.09 - 3.42) and wood (2.79 95% CI 2.45 -3.19) were associated with high odds for ARI compared to electricity. Conclusion the prevalence of ARI has declined in Zambia from 1996 to 2014. Factors associated with occurrence of ARI included being a child under one year, underweight, use of biomass fuel such as charcoal and wood. Interventions to reduce the burden of ARI should be targeted at scaling up nutrition programs, as well as promoting use of cleaner fuels.

Introduction Focus has been put on strengthening surveillance systems in high tuberculosis (TB) burden countries, like Zambia, however inadequate information on factors associated with unfavourable TB treatment outcomes is generated from the system. We determined the proportion of tuberculosis treatment outcomes and their associated factors. Methods We defined unfavourable outcome as death, lost-to-follow-up, treatment-failure, or not-evaluated and favourable outcome as a patient cured or completed-treatment. We purposively selected a 1 st level hospital, an urban-clinic and a peri-urban clinic. We abstracted data from TB treatment registers at these three health facilities, for all TB cases on treatment from 1 st January to 31 st December, 2015. We calculated proportions of treatment outcomes and analysed associations between unfavourable outcome and factors such as age, HIV status, health facility, and patient type, using univariate logistics regression. We used multivariable stepwise logistic regression to control for confounding and reported the adjusted odds ratios (AOR) and 95% confidence intervals (CI). Results We included a total of 1,724 registered TB patients, from one urban clinic 694 (40%), a 1 st Level Hospital 654 (38%), and one peri-urban-clinic 276 (22%). Of the total patients, 43% had unfavourable outcomes. Of the total unfavourable outcomes, were recorded as treatment-failure (0.3%), lost-to-follow-up (5%), death (9%) and not evaluated (29%). The odds of unfavourable outcome were higher among patients > 59 years (AOR=2.9, 95%CI: 1.44-5.79), relapses (AOR=1.65, 95%CI: 1.15-2.38), patients who sought treatment at the urban clinic (AOR=1.76, 95%CI:1.27-2.42) and TB/HIV co-infected patients (AOR=1.56, 95%CI:1.11-2.19). Conclusion Unfavourable TB treatment outcomes were high in the selected facilities. We recommend special attention to TB patients who are > 59 years old, TB relapses and TB / HIV co-infected. The national TB programme should strengthen close monitoring of health facilities in increasing efforts aimed at evaluating all the outcomes. Studies are required to identify and test interventions aimed at improving treatment outcomes.

On October 6, 2017, the Zambia Ministry of Health declared a cholera outbreak in Lusaka. By December, 1,462 cases and 38 deaths had occurred (case fatality rate, 2.6%). We conducted a case-control study to identify risk factors and inform interventions. A case was any person with acute watery diarrhea (³ 3 loose stools in 24 hours) admitted to a cholera treatment center in Lusaka from December 16 to 21, 2017. Controls were neighbors without diarrhea during the same time period. Up to two controls were matched to each case by age-group (1-4, 5-17, and ³ 18 years) and neighborhood. Surveyors interviewed cases and controls, tested free chlorine residual (FCR) in stored water, and observed the presence of soap in the home. Conditional logistic regression was used to generate matched odds ratios (mORs) based on subdistricts and age-groups with 95% CIs. We enrolled 82 cases and 132 controls. Stored water in 71% of case homes had an FCR > 0.2 mg/L. In multivariable analyses, those who drank borehole water (mOR = 2.4, CI: 1.1-5.6), had close contact with a cholera case (mOR = 6.2, CI: 2.5-15), and were male (mOR = 2.5, CI: 1.4-5.0) had higher odds of being a cholera case than their matched controls. Based on these findings, we recommended health education about household water chlorination and hygiene in the home. Emergency responses included providing chlorinated water through emergency tanks and maintaining adequate FCR levels through close monitoring of water sources.