Risk communication during health emergencies in Nigeria: What are its challenges?

Although globalization has been advantageous in facilitating the free movement of people, goods, and services, the ease of movement of cross-border pathogens has increased the risk of international public health emergencies in recent years. Risk communication is an integral part of every country's response during public health emergencies such as the coronavirus disease (COVID-19) pandemic. To effectively increase adherence to guidelines during health emergencies, it is essential to understand the impact of social, cultural, political, and environmental factors on people's behaviours and lifestyles in any given context, as well as how these factors influence people's perception of risks. During the recent response to the COVID-19 pandemic in Nigeria, the need to comprehend these influences was pronounced, and these influences ultimately shaped risk communication in Nigeria. We have identified risk communication challenges in Nigeria based on sociocultural diversity, the complexity of the health system, the impact of social media on communications, and other contextual factors surrounding multisectoral partnerships. To achieve global health security, these challenges must be addressed in resourceconstrained countries like Nigeria. In this paper, we emphasize the need to contextualize risk communication strategies in order to improve their effectiveness during health emergencies. In addition, we urge increased country commitment to a multi-hazard and multisectoral effort, deliberate investment in subnational risk communication systems, and investments in capacity building for risk communication activities.

Implementing an emergency risk communication campaign in response to the COVID-19 pandemic in Nigeria: lessons learned.

At the onset of the COVID-19 pandemic, the WHO recommended the prioritisation of risk communication and community engagement as part of response activities in countries. This was related to the increasing spread of misinformation and its associated risks, as well as the need to promote non-pharmaceutical interventions (NPIs) in the absence of an approved vaccine for disease prevention. The Nigeria Centre for Disease Control, the national public health institute with the mandate to prevent and detect infectious disease outbreaks, constituted a multidisciplinary Emergency Operations Centre (EOC), which included NCDC staff and partners to respond to the COVID-19 outbreak. Risk communication, which also comprised crisis communication, was a pillar in the EOC. As the number of cases in Nigeria increased, the increasing spread of misinformation and poor compliance to NPIs inspired the development of the #TakeResponsibility campaign, to encourage individual and collective behavioural change and to foster a shared ownership of the COVID-19 outbreak response. Mass media, social media platforms and community engagement measures were used as part of the campaign. This contributed to the spread of messages using diverse platforms and voices, collaboration with community leaders to contextualise communication materials and empowerment of communication officers at local levels through training, for increased impact. Despite the challenges faced in implementing the campaign, lessons such as the use of data and a participatory approach in developing communications campaigns for disease outbreaks were documented. This paper describes how a unique communication campaign was developed to support the response to the COVID-19 pandemic.

Public risk perception and behaviours towards COVID-19 during the first and second waves in Nigeria: a secondary data analysis.

OBJECTIVES: To describe changes in public risk perception and risky behaviours during the first wave (W1) and second wave (W2) of COVID-19 in Nigeria, associated factors and observed trend of the outbreak. DESIGN: A secondary data analysis of cross-sectional telephone-based surveys conducted during the W1 and W2 of COVID-19 in Nigeria. SETTING: Nigeria. PARTICIPANTS: Data from participants randomly selected from all states in Nigeria. PRIMARY OUTCOME: Risk perception for COVID-19 infection categorised as risk perceived and risk not perceived. SECONDARY OUTCOME: Compliance to public health and social measures (PHSMs) categorised as compliant; non-compliant and indifferent. ANALYSIS: Comparison of frequencies during both waves using χ2 statistic to test for associations. Univariate and multivariate logistic regression analyses helped estimate the unadjusted and adjusted odds of risk perception of oneself contracting COVID-19. Level of statistical significance was set at p<0.05. RESULTS: Triangulated datasets had a total of 6401 respondents, majority (49.5%) aged 25-35 years. Overall, 55.4% and 56.1% perceived themselves to be at risk of COVID-19 infection during the W1 and W2, respectively. A higher proportion of males than females perceived themselves to be at risk during the W1 (60.3% vs 50.3%, p<0.001) and the W2 (58.3% vs 52.6%, p<0.05). Residing in the south-west was associated with not perceiving oneself at risk of COVID-19 infection (W1-AOdds Ratio (AOR) 0.28; 95% CI 0.20 to 0.40; W2-AOR 0.71; 95% CI 0.52 to 0.97). There was significant increase in non-compliance to PHSMs in the W2 compared with W1. Non-compliance rate was higher among individuals who perceived themselves not to be at risk of getting infected (p<0.001). CONCLUSION: Risk communication and community engagement geared towards increasing risk perception of COVID-19 should be implemented, particularly among the identified population groups. This could increase adherence to PHSMs and potentially reduce the burden of COVID-19 in Nigeria.

COVID-19 mortality rate and its associated factors during the first and second waves in Nigeria.

COVID-19 mortality rate has not been formally assessed in Nigeria. Thus, we aimed to address this gap and identify associated mortality risk factors during the first and second waves in Nigeria. This was a retrospective analysis of national surveillance data from all 37 States in Nigeria between February 27, 2020, and April 3, 2021. The outcome variable was mortality amongst persons who tested positive for SARS-CoV-2 by Reverse-Transcriptase Polymerase Chain Reaction. Incidence rates of COVID-19 mortality was calculated by dividing the number of deaths by total person-time (in days) contributed by the entire study population and presented per 100,000 person-days with 95% Confidence Intervals (95% CI). Adjusted negative binomial regression was used to identify factors associated with COVID-19 mortality. Findings are presented as adjusted Incidence Rate Ratios (aIRR) with 95% CI. The first wave included 65,790 COVID-19 patients, of whom 994 (1∙51%) died; the second wave included 91,089 patients, of whom 513 (0∙56%) died. The incidence rate of COVID-19 mortality was higher in the first wave [54∙25 (95% CI: 50∙98-57∙73)] than in the second wave [19∙19 (17∙60-20∙93)]. Factors independently associated with increased risk of COVID-19 mortality in both waves were: age ≥45 years, male gender [first wave aIRR 1∙65 (1∙35-2∙02) and second wave 1∙52 (1∙11-2∙06)], being symptomatic [aIRR 3∙17 (2∙59-3∙89) and 3∙04 (2∙20-4∙21)], and being hospitalised [aIRR 4∙19 (3∙26-5∙39) and 7∙84 (4∙90-12∙54)]. Relative to South-West, residency in the South-South and North-West was associated with an increased risk of COVID-19 mortality in both waves. In conclusion, the rate of COVID-19 mortality in Nigeria was higher in the first wave than in the second wave, suggesting an improvement in public health response and clinical care in the second wave. However, this needs to be interpreted with caution given the inherent limitations of the country's surveillance system during the study.

Epidemiological comparison of the first and second waves of the COVID-19 pandemic in Nigeria, February 2020-April 2021.

BACKGROUND: With reports of surges in COVID-19 case numbers across over 50 countries, country-level epidemiological analysis is required to inform context-appropriate response strategies for containment and mitigation of the outbreak. We aimed to compare the epidemiological features of the first and second waves of COVID-19 in Nigeria. METHODS: We conducted a retrospective analysis of the Surveillance Outbreak Response Management and Analysis System data of the first and second epidemiological waves, which were between 27 February and 24 October 2020, and 25 October 2020 to 3 April 2021, respectively. Descriptive statistical measures including frequencies and percentages, test positivity rate (TPR), cumulative incidence (CI) and case fatality rates (CFRs) were compared. A p value of <0.05 was considered statistically significant. All statistical analyses were carried out in STATA V.13. RESULTS: There were 802 143 tests recorded during the study period (362 550 and 439 593 in the first and second waves, respectively). Of these, 66 121 (18.2%) and 91 644 (20.8%) tested positive in the first and second waves, respectively. There was a 21.3% increase in the number of tests conducted in the second wave with TPR increasing by 14.3%. CI during the first and second waves were 30.3/100 000 and 42.0/100 000 respectively. During the second wave, confirmed COVID-19 cases increased among females and people 30 years old or younger and decreased among urban residents and individuals with travel history within 14 days of sample collection (p value <0.001). Most confirmed cases were asymptomatic at diagnosis during both waves: 74.9% in the first wave; 79.7% in the second wave. CFR decreased during the second wave (0.7%) compared with the first wave (1.8%). CONCLUSION: Nigeria experienced a larger but less severe second wave of COVID-19. Continued implementation of public health and social measures is needed to mitigate the resurgence of another wave.

Trend and determinants of tuberculosis treatment outcome in a tertiary hospital in Southeast Nigeria.

INTRODUCTION: Nigeria ranked 7th among the high TB burden nations globally and second most endemic in Africa. There are several highly effective interventions available for tuberculosis control. Operational challenges have been reported to interfere with the success of these interventions. This review was conducted to ascertain the treatment outcome using the Directly Observed Short Course Strategy implemented in the hospital. METHODS: A retrospective review of the Tuberculosis treatment was conducted in former Ebonyi State Teaching Hospital and Federal Teaching Hospital from 2008 to 2014 as part of the departmental critique of patients' clinical care and tuberculosis control activities. Using the facility's TB treatment register, information on the patient's demography, clinical characteristics and treatment outcome was extracted. The data were analyzed using Epi Info version 7.2. Frequencies and proportions were calculated. RESULTS: A total of 1070 cases were reviewed with majority 491 (45.9%) belonging to 25-44 years age group. There were 585 (54.7%) males and 68 (11.6%) paediatrics. Pulmonary tuberculosis (667, 62.3%) was the most common presentation. Among those that did sputum smear AFB, 53.2% were smear negative. In all, 91.2% of the cases were treatment naïve, 59.1% were HIV negative at beginning of their treatment while 8% had unknown HIV status. Of the treatment outcome, 40.5% were classified as treatment completed, 16.0% cured, 17.4% of the cases defaulted while 14.1% of the cases died on treatment. These patients were often referred from primary and secondary level hospitals. CONCLUSIONS: The cure rate was very poor and treatment default rate high. The high default rate could be due to the referral nature of the hospital. The treatment success rate of 56.5% is still far below the national target of 85% treatment success rate for effective tuberculosis control. An operational research is recommended to elicit the root causes of low treatment success rate and high patient default rate.

Performance of the Public Health System During a Full-Scale Yellow Fever Simulation Exercise in Lagos State, Nigeria, in 2018: How Prepared Are We for the Next Outbreak?

Recurring outbreaks of infectious diseases have characterized the West African region in the past 4 decades. There is a moderate to high risk of yellow fever in countries in the region, and the disease has reemerged in Nigeria after 21 years. A full-scale simulation exercise of the outbreak of yellow fever was conducted to assess preparedness and response in the event of a full-scale outbreak. The exercise was a multi-agency exercise conducted in Lagos, and it involved health facilities, points of entry, state and national public health emergency operation centers, and laboratories. An evaluation of the exercise assessed the capability of the system to identify, respond to, and recover from the emergency using adapted WHO tools. The majority of participants, observers, and evaluators agreed that the exercise was well-structured and organized. Participants also strongly agreed that the exercise helped them to identify strengths and gaps in their understanding of the emergency response systems and plans. Overall, the exercise identified existing gaps in the current capabilities of several thematic areas involved in a yellow fever response. The evaluation presented an opportunity to assess the response capabilities of multisectoral collaborations in the national public health system. It also demonstrated the usefulness of the exercise in understanding public health officials' roles and responsibilities; enabling knowledge transfer among these individuals and organizations; and identifying specific public health systems-level strengths, weaknesses, and challenges.