Incidence of type 1 diabetes among children and adolescents during peace and war times in Yemen.

AIM: To calculate a 30-year incidence rates of type 1 diabetes (T1D) in Sana'a city, Yemen during peace and wartimes. METHODS: A total of 461 patients aged between 8 months and 18 years with newly diagnosed diabetes were registered between 1989 and 2018. We used a standardized protocol for counting cases over time. The annual incidence rates (cases/100,000/year) were calculated from the number of new reported cases for each year divided by the estimated number of person-years "at risk" resident in Sana'a city, Yemen according to age and sex of the participants of that year. RESULTS: The mean annual incidence rate of T1D in children aged 0-14 years was 1.83/100,000/year. With the use of 3-year time-periods, the mean annual incidence rate was (5/100,000/year) in the first time-period, fluctuated between 1.2 and 2.3 during subsequent seven time-periods, and declined to (0.5/100,000/year) during the conflict years. The age-specific mean annual incidence rates for age-groups 0-4, 5-9, 10-14, and 15-18 years were 0.83, 1.82, 3.14, and 2.31/100,000/year, respectively. CONCLUSION: The mean annual incidence rate of T1D in children and adolescents over the observation period in Sana'a city was low. In children aged 0-14 years in particular, the incidence declined to a very low rate during wartime. Interpretation is partly limited by lack of recent census data, and the possibility of death from nondiagnosis at onset.

Field Epidemiology Training Program Response to COVID-19 During a Conflict: Experience From Yemen.

COVID-19 pandemic has underscored the need for a well-trained public health workforce to save lives through timely outbreaks detection and response. In Yemen, a country that is entering its seventh year of a protracted war, the ongoing conflict severely limited the country's capacity to implement effective preparedness and response measures to outbreaks including COVID-19. There are growing concerns that the virus may be circulating within communities undetected and unmitigated especially as underreporting continues in some areas of the country due to a lack of testing facilities, delays in seeking treatment, stigma, difficulty accessing treatment centers, the perceived risks of seeking care or for political issues. The Yemen Field Epidemiology Training Program (FETP) was launched in 2011 to address the shortage of a skilled public health workforce, with the objective of strengthening capacity in field epidemiology. Thus, events of public health importance can be detected and investigated in a timely and effective manner. During the COVID-19 pandemic, the Yemen FETP's response has been instrumental through participating in country-level coordination, planning, monitoring, and developing guidelines/standard operating procedures and strengthening surveillance capacities, outbreak investigations, contact tracing, case management, infection prevention, and control, risk communication, and research. As the third wave is circulating with a steeper upward curve than the previous ones with possible new variants, the country will not be able to deal with a surge of cases as secondary care is extremely crippled. Since COVID-19 prevention and control are the only option available to reduce its grave impact on morbidity and mortality, health partners should support the Yemen FETP to strengthen the health system's response to future epidemics. One important lesson learned from the COVID-19 pandemic, especially in the Yemen context and applicable to developing and war-torn countries, is that access to outside experts becomes limited, therefore, it is crucial to invest in building national expertise to provide timely, cost-effective, and sustainable services that are culturally appropriate. It is also essential to build such expertise at the governorate and district levels, as they are normally the first respondents, and to provide them with the necessary tools for immediate response in order to overcome the disastrous delays.

The Rotavirus Surveillance System in Yemen: Evaluation Study.

BACKGROUND: Rotavirus (RV) kills over 185,000 children <5 years every year and is responsible for over one-third of all child diarrheal deaths worldwide. The Rotavirus Surveillance System (RVSS) in Yemen was launched in 2007 at five sentinel sites to monitor the impact of the vaccine on RV morbidity and mortality. OBJECTIVE: This study aimed to determine the usefulness of the RVSS, assess its performance, and identify the strengths and weaknesses of its implementation. METHODS: The Centers for Disease Control and Prevention's updated guidelines on evaluating a public health surveillance system were used to evaluate the RVSS. In this assessment, qualitative indicators, such as usefulness, flexibility, stability, simplicity, and acceptability, were assessed through in-depth interviews with stakeholders at the central level and semistructured questionnaires with the sentinel site coordinators. The indicators for quantitative attributes-sensitivity, positive predictive value (PPV), completeness, and timeliness-were assessed by reviewing the results of laboratory samples and a random sample of case report forms. The scores for the indicators were expressed as poor (<60%), average (60% to <80%), and good (≥80%). RESULTS: The overall usefulness score of the RVSS was 73%, indicating an average rank. The RVSS was rated as having good flexibility (91%) and stability (81%), and average simplicity (77%) and acceptability (76%). In terms of quantitative attributes, the system was poor for sensitivity (16%), average for PPV (73%), and good for completeness (100%) and timeliness (100%). CONCLUSIONS: Although the system attributes were flexible, stable, capable of providing quality data, and performing timely data reporting, some attributes still needed improvements (eg, usefulness, simplicity, acceptability, and PPV). There is a need for a gradual replacement of donor funds with government funds to ensure sustainability. The RVSS in Yemen strongly requires a progressive increase in the number of sites in governorates and sensitivity enhancement.