Strengthening event-based surveillance (EBS): a case study from Afghanistan.

The sustained instability in Afghanistan, along with ongoing disease outbreaks and the impact of the COVID-19 pandemic, has significantly affected the country.During the COVID-19 pandemic, the country's detection and response capacities faced challenges. Case identification was done in all health facilities from primary to tertiary levels but neglected cases at the community level, resulting in undetected and uncontrolled transmission from communities. This emphasizes a missed opportunity for early detection that Event-Based Surveillance (EBS) could have facilitated.Therefore, Afghanistan planned to strengthen the EBS component of the national public health surveillance system to enhance the capacity for the rapid detection and response to infectious disease outbreaks, including COVID-19 and other emerging diseases. This effort was undertaken to promptly mitigate the impact of such outbreaks.We conducted a landscape assessment of Afghanistan's public health surveillance system to identify the best way to enhance EBS, and then we crafted an implementation work plan. The work plan included the following steps: establishing an EBS multisectoral coordination and working group, identifying EBS information sources, prioritizing public health events of importance, defining signals, establishing reporting mechanisms, and developing standard operating procedures and training guides.EBS is currently being piloted in seven provinces in Afghanistan. The lessons learned from the pilot phase will support its overall expansion throughout the country.

Implementation and expansion of laboratory capacity for molecular diagnostics in response to COVID-19 and preparedness for other emerging infectious diseases in the Islamic Emirate of Afghanistan.

Background: Afghanistan experienced various outbreaks before and during the Covid-19 pandemic, including dengue, Crimean Congo hemorrhagic fever (CCHF), measles, and acute watery diarrhea (AWD). Diagnostic and surveillance support was limited, with only the Central Public Health Laboratory equipped to handle outbreak responses. This article highlights initiatives taken to improve diagnostic capabilities for COVID-19 and other outbreaks of public health concern encountered during the pandemic. Background: The World Health Organization (WHO) Afghanistan Country Office collaborated with the WHO Eastern Mediterranean Regional Office (EMRO), Central Public Health Laboratory (CPHL), and National Influenza Center (NIC) to enhance COVID-19 diagnostic capacity at national and subnational facilities. To alleviate pressure on CPHL, a state-of-the-art laboratory was established at the National Infectious Disease Hospital (NIDH) in Kabul in 2021-2022, while WHO EMRO facilitated the regionalization of testing to subnational facilities for dengue, CCHF, and AWD in 2022-2023. Results: COVID-19 testing capacity expanded nationwide to 34 Biosafety Level II labs, improving diagnosis time. Daily testing rose from 1000 in 2020 to 9200 in 2023, with 848,799 cumulative tests. NIDH identified 229 CCHF cases and 45 cases nationally. Dengue and CCHF testing, decentralized to Nangarhar and Kandahar labs, identified 338 dengue and 18 CCHF cases. AWD testing shifted to NIDH and five subnational facilities (Kandahar, Paktia, Balkh, Herat, and Nangarhar labs), while measles testing also decentralized to nine subnational facilities. Conclusion: Afghanistan implemented a remarkable, multisectoral response to priority pathogens. The nation now possesses diagnostic expertise at national and subnational levels, supported by genomic surveillance. Future efforts should concentrate on expanding and sustaining this capacity to enhance public health responses.

COVID-19 morbidity in Afghanistan: a nationwide, population-based seroepidemiological study.

OBJECTIVE: The primary objectives were to determine the magnitude of COVID-19 infections in the general population and age-specific cumulative incidence, as determined by seropositivity and clinical symptoms of COVID-19, and to determine the magnitude of asymptomatic or subclinical infections. DESIGN, SETTING AND PARTICIPANTS: We describe a population-based, cross-sectional, age-stratified seroepidemiological study conducted throughout Afghanistan during June/July 2020. Participants were interviewed to complete a questionnaire, and rapid diagnostic tests were used to test for SARS-CoV-2 antibodies. This national study was conducted in eight regions of Afghanistan plus Kabul province, considered a separate region. The total sample size was 9514, and the number of participants required in each region was estimated proportionally to the population size of each region. For each region, 31-44 enumeration areas (EAs) were randomly selected, and a total of 360 clusters and 16 households per EA were selected using random sampling. To adjust the seroprevalence for test sensitivity and specificity, and seroreversion, Bernoulli's model methodology was used to infer the population exposure in Afghanistan. OUTCOME MEASURES: The main outcome was to determine the prevalence of current or past COVID-19 infection. RESULTS: The survey revealed that, to July 2020, around 10 million people in Afghanistan (31.5% of the population) had either current or previous COVID-19 infection. By age group, COVID-19 seroprevalence was reported to be 35.1% and 25.3% among participants aged ≥18 and 5-17 years, respectively. This implies that most of the population remained at risk of infection. However, a large proportion of the population had been infected in some localities, for example, Kabul province, where more than half of the population had been infected with COVID-19. CONCLUSION: As most of the population remained at risk of infection at the time of the study, any lifting of public health and social measures needed to be considered gradually.

The political economy of health in conflict: Lessons learned from three states in the Eastern Mediterranean Region during COVID-19.

BACKGROUND: The Eastern Mediterranean Region continues to face a severe scale of emergencies as a direct result of conflict and political instability in a number of countries. As of 2020, nine countries out of 22 countries in the region affected by protracted and ongoing wars and conflict, left more than 62 million people in dire need of access to quality health care and adequate response measures. COVID-19 exacerbates the humanitarian needs of the people especially in countries that suffer from humanitarian crises, and drains the already overstretched health care systems. This study was conducted to derive major takeaways and lessons learned from the COVID-19 response in humanitarian and low resource settings that may assist similar vulnerable and fragile settings in different regions in view of a possible next pandemic. METHODS: The study involved a desk review, document analysis, and key informant interviews with key stakeholders from the Eastern Mediterranean Region. RESULTS: A total of 35 key informant interviews were carried out with health professionals working in humanitarian and low resource settings in the region. This study focuses on the information gathered from Afghanistan, Iraq and Syria. CONCLUSIONS: A key finding of this study is that each of the nine pillars for COVID response has been implemented differently across the different countries. Although the nine pillars guide the overall response to COVID-19 in the region, they also provide countries with an important starting point and an important implementation tool.

Development and Implementation of Electronic Disease Early Warning Systems for Optimal Disease Surveillance and Response during Humanitarian Crisis and Ebola Outbreak in Yemen, Somalia, Liberia and Pakistan.

OBJECTIVE: To share lessons learned with experience in concept development of electronic disease early warning system (eDEWS) as a standardized informatic tool for optimal disease surveillance for early warning and response Network (EWARN) during humanitarian crisis. METHODS: We did literature search, review and analysis to document system attributes of existing electronic tools being used for disease surveillance, early warning and health management information system (HMIS). We generated baseline information and conducted multiple planning sessions with stakeholders for EWARN system requirement elicitation and validation to inform concept development of standardized electronic tool. RESULTS: We identified 98 electronic health projects, classified 22 projects under 'Disease and epidemic outbreak surveillance' theme, whereas only four electronic tools met our selection criteria and were reported to be implemented in humanitarian settings complimentary to EWARN. Baseline information was obtained to guide work on requirement gathering and analysis process, and development of concept for a standardized electronic tool for EWARN. DISCUSSION: The eDEWS was enhanced with an objective to develop standardize electronic tools and data collection procedures to monitor diseases and health events for alert detection in global humanitarian settings. The enhanced system could be harnessed as a powerful tool by outbreak response teams in getting vital epidemiological information for appropriate and timely response during emergencies. CONCLUSION: eDEWS experiences in Yemen, Somalia, Liberia and Pakistan offers an opportunity to learn and apply lessons to improve future health informatics initiatives or adapt eDEWS as a feasible standardized approach to enhance EWARN implementation during humanitarian crisis, and potential integration into routine surveillance systems.

Efficacy and Safety of Entecavir 0. 5 mg in Treating Naive Chronic Hepatitis B Virus Patients in Egypt: Five Years of Real Life Experience.

BACKGROUND: The aim of the study was to evaluate the efficacy and safety of entecavir (ETV) among chronic hepatitis B (CHB) nucleos(t)ide-naive Egyptian patients. METHODS: Forty-eight CHB patients on ETV were included. Males comprised 83.3% (40 cases), while females comprised 16.7% (eight cases). Minimum age was 19 years, while maximum age was 64 years. Hepatitis B envelope antigen (HBeAg)-negative cases were 60.4%. HBeAg-positive cases were 39.6%. Factors including sex, positive HBeAg, baseline hepatitis B virus (HBV) DNA level, baseline alanine aminotransferase (ALT) and aspartate aminotransferase (AST), were evaluated in terms of their predictive role in treatment response, which was defined as a serum HBV DNA decrease of < 10 IU/mL. RESULTS: Mean age of patients was 38.2 years; males were 83.3% and females were 16.7%. HBeAg-negative cases were 60.4%, while HBeAg-positive cases were 39.6%. Mean baseline DNA level was 44 × 106 IU/mL. Ultrasound results showed 14 cases had hepatomegaly, 10 cases had bright liver, seven cases had coarse liver, and eight cases had cirrhosis. Of the cases, 45.8% showed a negative PCR after the first 6 months of therapy to reach 64.6% by the end of the first year. HBV DNA undetectability reached 91.3% and 100% after 4 and 5 years, respectively for those who completed the study period. ALT reduction started after 6 months of treatment and reached 53.37% after 5 years. Similarly AST showed the same pattern of decline and reached 54.37% after 5 years. Only two cases achieved HBeAg seroconversion. Three patients experienced virological breakthrough and the three cases shared similar characteristics of being less than 40 years, with baseline HBV DNA of ≥ 105 IU/mL and positive HBeAg. None of the cases showed hepatitis B surface antigen (HBsAg) seroconversion. CONCLUSION: ETV proved to have a potent antiviral efficacy and safety in nucleoside/tide-naive Egyptian patients. Rate of HBV DNA undetectability was higher in patients above 40 years of age and in patients who initially had a low viral load. ETV was well tolerated during the treatment period with a good overall safety profile.

Attacks against health care in Syria, 2015-16: results from a real-time reporting tool.

BACKGROUND: Collecting credible data on violence against health services, health workers, and patients in war zones is a massive challenge, but crucial to understanding the extent to which international humanitarian law is being breached. We describe a new system used mainly in areas of Syria with a substantial presence of armed opposition groups since November, 2015, to detect and verify attacks on health-care services and describe their effect. METHODS: All Turkey health cluster organisations with a physical presence in Syria, either through deployed and locally employed staff, were asked to participate in the Monitoring Violence against Health Care (MVH) alert network. The Turkey hub of the health cluster, a UN-activated humanitarian health coordination body, received alerts from health cluster partners via WhatsApp and an anonymised online data-entry tool. Field staff were asked to seek further information by interviewing victims and other witnesses when possible. The MVH data team triangulated alerts to identify individual events and distributed a preliminary flash update of key information (location, type of service, modality of attack, deaths, and casualties) to partners, WHO, United Nations Office for the Coordination of Humanitarian Affairs, and donors. The team also received and entered alerts from several large non-health cluster organisations (known as external partners, who do their own information-gathering and verification processes before sharing their information). Each incident was then assessed in a stringent process of information-matching. Attacks were deemed to be verified if they were reported by a minimum of one health cluster partner and one external partner, and the majority of the key datapoints matched. Alerts that did not meet this standard were deemed to be unverified. Results were tabulated to describe attack occurrence and impact, disaggregated where possible by age, sex, and location. FINDINGS: Between early November, 2015, and Dec 31 2016, 938 people were directly harmed in 402 incidents of violence against health care: 677 (72%) were wounded and 261 (28%) were killed. Most of the dead were adult males (68%), but the highest case fatality (39%) was seen in children aged younger than 5 years. 24% of attack victims were health workers. Around 44% of hospitals and 5% of all primary care clinics in mainly areas with a substantial presence of armed opposition groups experienced attacks. Aerial bombardment was the main form of attack. A third of health-care services were hit more than once. Services providing trauma care were attacked more than other services. INTERPRETATION: The data system used in this study addressed double-counting, reduced the effect of potentially biased self-reports, and produced credible data from anonymous information. The MVH tool could be feasibly deployed in many conflict areas. Reliable data are essential to show how far warring parties have strayed from international law protecting health care in conflict and to effectively harness legal mechanisms to discourage future perpetrators. FUNDING: None.