Cholera: A comparison of the 2008-9 and 2010 Outbreaks in Kadoma City, Zimbabwe

Introduction: Kadoma City experienced cholera outbreaks in 2008-9, and 2010, affecting 6,393 and 123 people, respectively. A study wasconducted to compare epidemiology of the cholera outbreaks. Methods: a descriptive cross sectional study was conducted, analyzing line list data for the 2 outbreaks. Proportions, means were generated and compared using the Chi Square test at 5% level of significance.Results: cholera cases were similar by gender and age, with the 20-30 years group being most affected. Rimuka township contributed 80% and 100% of city cases in 2008-9 and 2010, respectively, p value=0.000. In 2008-9, 91% of cholera cases presented within 2 days compared to 98% in 2010. Delay seeking treatment increased from 58% to 73% (p  value=0.001), with gender, and place equally affected. The 2010 outbreak evolved faster, resulting in higher proportion being managed in CTU. CFR was 2% in 2008-9, and 3.3% in 2010 (p value =0.31). Conclusion: the 2008-9 and 2010 cholera outbreaks were similar by age and gender.  Rimuka Township was most affected by the outbreaks. There was  worsening of delay seeking treatment. The 2010 outbreak was more rapid, leading to early opening of CTC. CFR was consistently above 1%

Indoor household residual spraying program performance in Matabeleland South province, Zimbabwe: 2011 to 2012; a descriptive cross-sectional study

Introduction: Matabeleland South launched the malaria pre-elimination campaign in 2012 but provincial spraying coverage has failed to attain95% target, with some districts still encountering malaria outbreaks. A study was conducted to evaluate program performance against achievingmalaria pre-elimination. Methods: a descriptive cross sectional study was done in 5 districts carrying out IRS using the logical framework involving inputs, process, outputs and outcome evaluation. Health workers recruited into the study included direct program implementers, district and provincial program managers. An interviewer administered questionnaire, checklists, key informant  interviewer guide and desk review of records were used to collect data. Results: we enrolled 37 primary respondents and 5 key informants. Pre-elimination, Epidemic Preparedness and Response plans were absent in all districts. Shortages of inputs were reported by 97% of respondents, with districts receiving 80% of requested budget. Insecticides were procured centrally at national level. Spraying started late and districts failed to spray all targeted households by end of December. The province is using makeshift camps with inappropriate evaporation ponds where liquid DDT waste is not safely accounted for. The provincial IHRS coverage for 2011 was 84%. Challenges cited included; food shortages for spraymen, late delivery of inputs and poor state of IHRS equipment. Conclusion: the province has failed to achieve Malaria pre-elimination IRS coverage targets for 2011/12 season. Financial and logistical challenges led to delays in supply of program inputs, recruitment and training of sprayers. The Province should establish camping infrastructure with standard evaporation ponds to minimise contamination of the  environment

Factors associated with contracting malaria in Ward 29 of Shamva District, Zimbabwe, 2014

Background. Malaria cases at Wadzanayi Clinic in Shamva District, Zimbabwe, increased drastically, surpassing the epidemic threshold, in week four of December 2013. This rise was sustained, which necessitated an investigation of the outbreak.Objectives. To identify risk factors and system weaknesses to improve epidemic preparedness and response.Methods. An unmatched 1:1 case-control study was conducted in Ward 29 of Shamva District in Zimbabwe. Epidemic preparedness and response were assessed using the Zimbabwean epidemic preparedness and response guidelines.Results. The sociodemographic characteristics of all participants were similar, except for gender. The risk factors for contracting malaria were performing early morning chores (odds ratio (OR) 2.75; 95% confidence interval (CI) 1.20 - 6.32), having a body of water near the home (OR 3.41; 95% CI 1.62 - 7.20) and having long grass near the home (OR 2.61; 95% CI 1.10 - 6.37). Protective factors were staying indoors at night (OR 0.13; 95% CI 0.06 - 0.28) and staying in a sprayed home (OR 0.36; 95% CI 0.21 - 0.92). All cases were diagnosed with a malaria rapid diagnostic test. All complicated cases were treated with quinine. Four out of 58 uncomplicated cases were treated with quinine. The rest were treated with co-artemether. There was no documentation of the outbreak response by the district health executive. Respraying (indoor residual spraying) was carried out, with a coverage of 78% of rooms sprayed. One nurse out of seven at Wadzanayi Clinic was trained in integrated disease surveillance and response, and malaria case management. District malaria thresholds were outdated. Malaria commodities such as drugs and sprays did not have reorder limits.Conclusion. This study re-emphasises the importance of environmental- and personal-level factors as determinants of malaria. Poor outbreak preparedness and response may have propagated the malaria outbreak in this setting. Health education and the use of mosquito repellants should be emphasised. Larvicide may reduce the malaria burden. Epidemic preparedness and response need to be strengthened. Outbreak investigation remains important. This study emphasises the need for malaria interventions to be tailored to locally prevailing determinants to avert outbreaks

Ebola Response in Liberia; Field Experiences, Challenges and Lessons Learnt during the Response

Abstract The 2014-2015 Ebola Virus Disease (EVD) outbreaks which began in Guinea and later spread to Liberia, Sierra Leona and other countries have been responsible for a number of infections and deaths among the communities including health workers. The natural host of the EVD virus has not been identified even when scientific evidence points to bats as the natural reservoirs to similar strains of EVD virus. EVD male survivors have also been identified as a potential source of infection among the populations. 89 dividual counseling sessions led by community leaders enabled building community trust to refer cases for treatment. The EVD survivors distributed in different parts of the country are potential sources of new EVD infections. This will require strengthening early warning systems and response capacity at all levels

Factors associated with contracting malaria in Ward 29 of Shamva District, Zimbabwe, 2014

Background. Malaria cases at Wadzanayi Clinic in Shamva District, Zimbabwe, increased drastically, surpassing the epidemic threshold, in week four of December 2013. This rise was sustained, which necessitated an investigation of the outbreak.Objectives. To identify risk factors and system weaknesses to improve epidemic preparedness and response.Methods. An unmatched 1:1 case-control study was conducted in Ward 29 of Shamva District in Zimbabwe. Epidemic preparedness and response were assessed using the Zimbabwean epidemic preparedness and response guidelines.Results. The sociodemographic characteristics of all participants were similar, except for gender. The risk factors for contracting malaria were performing early morning chores (odds ratio (OR) 2.75; 95% confidence interval (CI) 1.20 - 6.32), having a body of water near the home (OR 3.41; 95% CI 1.62 - 7.20) and having long grass near the home (OR 2.61; 95% CI 1.10 - 6.37). Protective factors were staying indoors at night (OR 0.13; 95% CI 0.06 - 0.28) and staying in a sprayed home (OR 0.36; 95% CI 0.21 - 0.92). All cases were diagnosed with a malaria rapid diagnostic test. All complicated cases were treated with quinine. Four out of 58 uncomplicated cases were treated with quinine. The rest were treated with co-artemether. There was no documentation of the outbreak response by the district health executive. Respraying (indoor residual spraying) was carried out, with a coverage of 78% of rooms sprayed. One nurse out of seven at Wadzanayi Clinic was trained in integrated disease surveillance and response, and malaria case management. District malaria thresholds were outdated. Malaria commodities such as drugs and sprays did not have reorder limits.Conclusion. This study re-emphasises the importance of environmental- and personal-level factors as determinants of malaria. Poor outbreak preparedness and response may have propagated the malaria outbreak in this setting. Health education and the use of mosquito repellants should be emphasised. Larvicide may reduce the malaria burden. Epidemic preparedness and response need to be strengthened. Outbreak investigation remains important. This study emphasises the need for malaria interventions to be tailored to locally prevailing determinants to avert outbreaks