Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitability concordant with locations where onchocerciasis has been previously detected. This threshold value was then used to classify IUs (more suitable or less suitable) based on the location within the IU with the largest mean prediction. Mean estimates of environmental suitability suggest large areas across West and Central Africa, as well as focal areas of East Africa, are suitable for onchocerciasis transmission, consistent with the presence of current control and elimination of transmission efforts. The ROC analysis identified a mean environmental suitability index of 0·71 as a threshold to classify based on the location with the largest mean prediction within the IU. Of the IUs considered for mapping surveys, 50·2% exceed this threshold for suitability in at least one 5 × 5-km location. The formidable scale of data collection required to map onchocerciasis endemicity across the African continent presents an opportunity to use spatial data to identify areas likely to be suitable for onchocerciasis transmission. National onchocerciasis elimination programmes may wish to consider prioritising these IUs for mapping surveys as human resources, laboratory capacity, and programmatic schedules may constrain survey implementation, and possibly delaying MDA initiation in areas that would ultimately qualify.

Introduction: The extent of exposure to occupational carcinogens is not well characterized in Iran, and little is known about the burden of occupational cancer. Objectives: This study aimed to describe exposure to occupational carcinogens and occupational epidemiology studies in Iran. Methods: Relevant studies up to January 2021 in Iran were identified through three databases (PubMed, Web of Science, and Google Scholar). Results: Forty-nine publications from 2009 to 2020 (one cohort, 11 case-control, 34 exposure monitoring studies, and three cancer burden studies) were included. The exposure monitoring studies were conducted mainly in the petroleum industry, metal industry, manufacturing of electronics, manufacturing of plastics, construction industry, and service industry. A few of the case-control studies also reported increased risk of cancers in relation to work in those industries. Conclusions: Occupational cancer epidemiology in Iran is at an early stage. Both epidemiological and exposure monitoring studies are generally limited in size to provide robust evidence of occupational cancer risks. A coherent strategy to estimate the occupational cancer burden in Iran should start with conducting epidemiological studies along with systematic monitoring of occupational carcinogens for use in hazard control and research.

Objectives Abortion is a sensitive issue; many cultures disapprove of it, which leads to under-reporting. This study sought to estimate the rate of abortion visibility in the city of Kerman, Iran—that is, the percentage of acquaintances who knew about a particular abortion. For estimating the visibility rate, it is crucial to use the network scale-up method, which is a new, indirect method of estimating sensitive behaviours more accurately. Materials and methods This cross-sectional study was conducted in Kerman, Iran using various methods to ensure the cooperation of clinicians and women. A total of 222 women who had had an abortion within the previous year (74 elective, 74 medical and 74 spontaneous abortions) were recruited. Participants were asked how many of their acquaintances were aware of their abortion. Abortion visibility was estimated by abortion type. 95% CIs were calculated by a bootstrap procedure. A zero-inflated negative binomial regression analysis was conducted to assess the variables related to visibility. Results The visibility (95% CI) of elective, medical and spontaneous abortion was 8% (6% to 10%), 60% (54% to 66%) and 50% (43% to 57%), respectively. Women and consanguineal family were more likely to be aware of the abortion than men and affinal family. Non-family members had a low probability of knowing about the abortion, except in elective cases. Abortion type, marital status, sex of the acquaintance and closeness of the relationship were the most important determinants of abortion visibility in the final multifactorial model. Conclusions This study shows the visibility rate to be low, but it does differ among social network members and by the type of abortion in question. This difference might be explained through social and cultural norms as well as stigma surrounding abortion. The low visibility rate might explain the low estimates of abortion rates found in other studies.

Network Scale Up (NSU) is a promising tool for size estimation of sensitive issues. In this study we investigated the important methodological considerations to employ this method for estimating behaviors, such as abortion, which happens in a particular age-gender group. We recruited 1250 males and 1250 females aged 18 to 50. Abortion rate was calculated through direct question and NSU methodology. The NSU was applied on three sub-samples (male, female and aggregate). Integrating replies to 25 reference groups, we estimated the network size (C) of respondents and its age-gender structure. To calculate the part of network that is subject to abortion, we compared two approaches: proportional and data based. The Visibility Factor (VF) was calculated through 222 females who had abortion. Direct estimate was considered as gold standard. Using C’s derived from proportional method, the Relative Bias (RB) in the male and female samples was 33% and 84%. Applying the data-based C’s, the RB in the gender-specific and aggregate samples was 5% and 2%. The proportional method overestimates the prevalence. The data-based method to calculate the C is superior. The determination of the age-sex distribution of the network and the specific VF is essential.

Background: To plan for decreasing the prevalence of malnutrition among children, reliable data of current status are required. The aim of the present cross-sectional study was to estimate the prevalence and trend of malnutrition among Iranian children. Methods: PubMed, ISI Web of Science, Scopus, Google Scholar, and Iranian databases including SID and Magiran were searched for studies published prior to October 2017 with MeSH terms of Malnutrition, Nutrition Disorders, Wasting, Stunting, Underweight, Undernutrition, Nutrition, Anthropometry, Weight, and Children and Iran. Three random effect models were applied to estimate the pooled prevalence of underweight, stunting, and wasting. Meta-regression and cumulative meta-analysis were performed. All analyses were also conducted separately for two different age groups including 0–6 years old (preschool) and 7–11 years old (primary school). Seventy-five studies (information of 1,069,815 individuals) were included in the final meta-analysis. Results: The overall prevalence of underweight, stunting, and wasting was estimated to be 8.4% [95% confidence interval (CI): 7.6–9.1], 14.5% (95% CI: 13.1–15.9) and 5.6% (95% CI: 5–6.2) in children age 0–6 years, and 6.6% (95% CI: 4.8–8.4), 7.3% (95% CI: 5.6–9.1), and 8.3% (95% CI: 6–10.7) in children age 7–11 years, respectively. Conclusions: The cumulative meta-analysis showed a decrease in the general trend of malnutrition in both preschool and primary school children of Iran. Stunting and wasting were the most common form of malnutrition in Iranian preschool and primary school children, respectively. The decreasing trend of malnutrition was much more noticeable about stunting.