Background The novel coronavirus disease 2019 (COVID-19) epidemic has spread from China to 25 countries. Local cycles of transmission have already occurred in 12 countries after case importation. In Africa, Egypt has so far confirmed one case. The management and control of COVID-19 importations heavily rely on a country's health capacity. Here we evaluate the preparedness and vulnerability of African countries against their risk of importation of COVID-19. MethodsWe used data on the volume of air travel departing from airports in the infected provinces in China and directed to Africa to estimate the risk of importation per country. We determined the country's capacity to detect and respond to cases with two indicators: preparedness, using the WHO International Health Regulations Monitoring and Evaluation Framework; and vulnerability, using the Infectious Disease Vulnerability Index. Countries were clustered according to the Chinese regions contributing most to their risk.Findings Countries with the highest importation risk (ie, Egypt, Algeria, and South Africa) have moderate to high capacity to respond to outbreaks. Countries at moderate risk (ie, and Kenya) have variable capacity and high vulnerability. We identified three clusters of countries that share the same exposure to the risk originating from the provinces of Guangdong, Fujian, and the city of Beijing, respectively.Interpretation Many countries in Africa are stepping up their preparedness to detect and cope with COVID-19 importations. Resources, intensified surveillance, and capacity building should be urgently prioritised in countries with moderate risk that might be ill-prepared to detect imported cases and to limit onward transmission.

BackgroundDuring the Ebola virus disease (EVD) epidemic in Liberia, contact tracing was implemented to rapidly detect new cases and prevent further transmission. We describe the scope and characteristics of contact tracing in Liberia and assess its performance during the 2014–2015 EVD epidemic.Methodology/Principal findingsWe performed a retrospective descriptive analysis of data collection forms for contact tracing conducted in six counties during June 2014–July 2015. EVD case counts from situation reports in the same counties were used to assess contact tracing coverage and sensitivity. Contacts who presented with symptoms and/or died, and monitoring was stopped, were classified as “potential cases”. Positive predictive value (PPV) was defined as the proportion of traced contacts who were identified as potential cases. Bivariate and multivariate logistic regression models were used to identify characteristics among potential cases.We analyzed 25,830 contact tracing records for contacts who had monitoring initiated or were last exposed between June 4, 2014 and July 13, 2015. Contact tracing was initiated for 26.7% of total EVD cases and detected 3.6% of all new cases during this period. Eighty-eight percent of contacts completed monitoring, and 334 contacts were identified as potential cases (PPV = 1.4%). Potential cases were more likely to be detected early in the outbreak; hail from rural areas; report multiple exposures and symptoms; have household contact or direct bodily or fluid contact; and report nausea, fever, or weakness compared to contacts who completed monitoring.Conclusions/SignificanceContact tracing was a critical intervention in Liberia and represented one of the largest contact tracing efforts during an epidemic in history. While there were notable improvements in implementation over time, these data suggest there were limitations to its performance—particularly in urban districts and during peak transmission. Recommendations for improving performance include integrated surveillance, decentralized management of multidisciplinary teams, comprehensive protocols, and community-led strategies.

BackgroundMortality of children under the age of five remains one of the most important public health challenges in developing countries. In rural settings, the promotion of household and community health practices through community health workers (CHWs) is among the key strategies to improve child health. The objective of this study was to assess the performance of CHWs in the promotion of basic child heath services in rural Mali.MethodsA community-based cross-sectional survey was undertaken using multi-stage cluster sampling of wards and villages. Data was collected through questionnaires among 401 child-caregivers and registers of 72 CHWs.ResultsOf 401 households suppose to receive a visit by a CHW, 219 (54.6%; confidence interval 95%; 49.6-59.5) had received at least one visit in the last three months before the survey. The mother is the most important caregiver (97%); high percentage being illiterate. Caregivers treat fever and diarrhoea with the correct regimen in 40% and 11% of cases respectively. Comparative analysis between households with and without CHW visits showed a positive influence of CHWs on family health practices: knowledge on the management of child fever (p = < 0.001), non-utilization of antibiotics in home treatment of diarrhoea (p = 0.003), presence of cloroquine in the household (p = 0.002), presence (p = 0.001) and use (p = < 0.001) of bed nets. A total of 27 (38%) CHWs had not received supervision at all, against 45 (63%) who have been followed regularly each month during the last six months.ConclusionContinuous training, transport means, adequate supervision and motivation of CHWs through the introduction of financial incentives and remuneration are among key factors to improve the work of CHWs in rural communities. Poor performance of basic household health practices can be related to irregular supply of drugs and the need of appropriate follow-up by CHWs.