State-specific fertility rate changes across the USA following the first two waves of COVID-19.

STUDY QUESTION: How did the first two coronavirus disease 2019 (COVID-19) waves affect fertility rates in the USA? SUMMARY ANSWER: States differed widely in how their fertility rates changed following the COVID-19 outbreak and these changes were influenced more by state-level economic, racial, political, and social factors than by COVID-19 wave severity. WHAT IS KNOWN ALREADY: The outbreak of the COVID-19 pandemic contributed to already declining fertility rates in the USA, but not equally across states. Identifying drivers of differential changes in fertility rates can help explain variations in demographic shifts across states in the USA and motivate policies that support families in general, not only during crises. STUDY DESIGN, SIZE, DURATION: This is an ecological study using state-level data from 50 US states and the District of Columbia (n = 51). The study period extends from 2020 to 2021 with historical data from 2016 to 2019. We identified Wave 1 as the first apex for each state after February 2020 and Wave 2 as the second apex, during Fall/Winter 2020-2021. PARTICIPANTS/MATERIALS, SETTING, METHODS: State-level COVID-19 wave severity, defined as case acceleration during each 3-month COVID-19 wave (cases/100 000 population/month), was derived from 7-day weekly moving average COVID-19 case rates from the US Centers for Disease Control and Prevention (CDC). State-level fertility rate changes (change in average monthly fertility rate/100 000 women of reproductive age (WRA)/year) were derived from the CDC Bureau of Vital Statistics and from 2020 US Census and University of Virginia 2021 population estimates 9 months after each COVID-19 wave. We performed univariate analyses to describe national and state-level fertility rate changes following each wave, and simple and multivariable linear regression analyses to assess the relation of COVID-19 wave severity and other state-level characteristics with fertility rate changes. MAIN RESULTS AND THE ROLE OF CHANCE: Nationwide, fertility dropped by 17.5 births/month/100 000 WRA/year following Wave 1 and 9.2 births/month/100 000 WRA/year following Wave 2. The declines following Wave 1 were largest among majority-Democrat, more non-White states where people practiced greater social distancing. Greater COVID-19 wave severity was associated with steeper fertility rate decline post-Wave 1 in simple regression, but the association was attenuated when adjusted for other covariates. Adjusting for the economic impact of the pandemic (hypothesized mediator) also attenuated the effect. There was no relation between COVID-19 wave severity and fertility rate change following Wave 2. LIMITATIONS, REASONS FOR CAUTION: Our study harnesses state-level data so individual-level conclusions cannot be inferred. There may be residual confounding in our multivariable regression and we were underpowered to detect some effects. WIDER IMPLICATIONS OF THE FINDINGS: The COVID-19 pandemic initially impacted the national fertility rate but, overall, the fertility rate rebounded to the pre-pandemic level following Wave 2. Consistent with prior literature, COVID-19 wave severity did not appear to predict fertility rate change. Economic, racial, political, and social factors influenced state-specific fertility rates during the pandemic more than the severity of the outbreak alone. Future studies in other countries should also consider whether these factors account for internal heterogeneity when examining the impact of the COVID-19 pandemic and other crises on fertility. STUDY FUNDING/COMPETING INTEREST(S): L.G.K. received funding from the National Institute of Environmental Health Sciences (R00ES030403), M.C. from the National Science Foundation Graduate Research Fellowship Program (20-A0-00-1005789), and M.L. and E.S. from the National Institute of Environmental Health Sciences (R01ES032808). None of the authors have competing interests. TRIAL REGISTRATION NUMBER: N/A.

The impact of COVID-19 on the number of births in Yucatan, Mexico.

OBJECTIVE: To analyze the impact of COVID-19 on the number of births in Yucatan, Mexico during 2020 and 2021. MATERIAL AND METHODS: A total of 470 651 live births occurred in Yucatan from January 1st, 2008, to December 31st, 2021, and were included in the analysis. The monthly number of births observed during January 2008-February 2020 was used to describe pre-pandemic trends. Time-series analysis was applied to examine whether the number of births observed from December 2020 (9 months after the beginning of the pandemic) to December 2021 differed from the expected values. Trends in the number of births according to maternal age, parity and education were examined to identify changes differentiated by sociodemographic characteristics. RESULTS: The number of births in 2021 decreased by 18% (5869 births) compared with 2019, which represents a reduction from 12.89 to 12.48 per thousand inhabitants. The observed number of births from December 2020 to July 2021 was significantly lower than the figure expected. April (expected = 2863 vs. observed = 1722), May (expected = 2948 vs. observed = 1990), and June (expected = 2997 vs. observed = 1978) 2021 showed the largest differences between expected and observed values. Then, from August to December 2021, the observed number of births fell within the expected range. Birth decline was slightly more pronounced among mothers between 20 and 29 years of age and in those without previous offspring. CONCLUSION: We provide evidence of birth decline in Yucatan during the COVID-19 pandemic. Birth rate reduction in Yucatan doubled the world average and young women without children were the most affected.

Birth rate among women with fear of childbirth: a nationwide register-based cohort study in Finland.

PURPOSE: The association between fear of childbirth (FOC) and subsequent birth rate is not well studied. The aim of this study is to evaluate the birth rate, and risk for second pregnancy ending in delivery among women with FOC compared to women without FOC in their first pregnancy. METHODS: Data from the National Medical Birth Register were used to evaluate the birth rate after the first pregnancy in women with FOC. Cox regression model was used to evaluate the risk for the second pregnancy ending in delivery in women with FOC compared to reference individuals without FOC. The results were interpreted with adjusted hazard ratios (aHRs) and 95% confidence intervals (CI). RESULTS: In total, 375,619 women were included in this study. Of these, 9660 (2.6%) had FOC in the first pregnancy (exposed group), and 365,959 (97.4%) had no FOC (non-exposed group). In the exposed group, 3600 (37.3%) women had second pregnancy ending in delivery during the study period, and 206,347 (56.4%) had the second pregnancy ending in delivery in the non-exposed group. The risk for the second pregnancy ending in delivery was lower among women with FOC (aHR 0.61, CI 0.59-0.63). CONCLUSIONS: FOC complicates pregnancy and delivery and is strongly associated with lower likelihood to get pregnant again. Therefore, more research should be focused on the optimal prevention of FOC using a standardized procedure of care and treatment for women with FOC.

Impact of the first wave of the COVID-19 pandemic on birth rates in Europe: a time series analysis in 24 countries.

STUDY QUESTION: Did the first wave of the COVID-19 pandemic have an impact on monthly birth rates in Europe? SUMMARY ANSWER: Using datasets on live births per month in Europe, collected from the Human Fertility Database, we found a -14.1% decline in live births in January 2021 (i.e. 9-10 months after the epidemic peaks and first lockdowns), compared to the average number of live births in January 2018 and 2019. WHAT IS KNOWN ALREADY: Previous pandemics in the 20th and 21st centuries have been associated with a decline in birth rates 9 months after their peak, and a rebound in births over time. Lockdowns were necessary to control the first wave of the COVID-19 pandemic and may have had an impact on subsequent birth rates. STUDY DESIGN, SIZE, DURATION: Monthly time series data on live births from January 2018 to March 2021 were extracted to provide a time-series analysis of birthrates during and after the first wave of the COVID-19 pandemic in 24 European countries. PARTICIPANTS/MATERIALS, SETTING, METHODS: We conducted a random-effect generalized least squares regression to assess the seasonality of births from January 2018 to March 2021, and to identify potential differences in monthly live births after the first wave of the COVID-19 pandemic, considering the seasonality of births. To quantify these potential differences, we estimated the variation rate between the monthly live births observed during 2020 and 2021 and the mean of the 2018-2019 monthly live births in Europe. Factors potentially associated with a variation in monthly birth rates were assessed using univariable and multivariable generalized linear regressions. MAIN RESULTS AND THE ROLE OF CHANCE: When considering the seasonality of births, January 2021 was the only month with a significant difference in live births. A drop of -14.1% was observed compared to the average number of live births in January 2018 and 2019. At the national level, this drop was observed 9-10 months after the epidemic peaks in 13 countries. The duration of lockdowns was the variable that had the stronger association with this decrease, whereas higher incomes per capita could be a factor limiting this decline. A rebound in births compared to the previous years occurred in March 2021 in 13 countries. LIMITATIONS, REASONS FOR CAUTION: Our data are based on national data, limiting the power in the multivariable models used and the identification of other potential factors contributing to a decrease or an increase in birth rates. In addition, we collected only live births up to April 2021, which precludes the identification of a difference in births seasonality in 2021. WIDER IMPLICATIONS OF THE FINDINGS: As with previous pandemics, the COVID-19 outbreak was associated with a decline in births 9 months after its first wave. This trend may be associated with the duration of the lockdowns. Although there was a rebound in births in the following months, it does not seem to compensate for this decline. STUDY FUNDING/COMPETING INTEREST(S): The authors receive no external funding and have no conflict of interest to declare. TRIAL REGISTRATION NUMBER: N/A.

Inactivated Covid-19 vaccine did not undermine live birth and neonatal outcomes of women with frozen-thawed embryo transfer.

STUDY QUESTION: Does inoculation with inactivated vaccines against coronavirus disease 2019 (Covid-19) before frozen-thawed embryo transfer (FET) affect live birth and neonatal outcomes? SUMMARY ANSWER: Inactivated Covid-19 vaccines did not undermine live birth and neonatal outcomes of women planning for FET. WHAT IS KNOWN ALREADY: Accumulating reports are now available indicating the safe use of mRNA vaccines against Covid-19 in pregnant and lactating women, and a few reports indicate that they are not associated with adverse effects on ovarian stimulation or early pregnancy outcomes following IVF. Evidence about the safety of inactivated Covid-19 vaccines is very limited. STUDY DESIGN, SIZE, DURATION: This is a retrospective cohort analysis from Reproductive Medical Center of a tertiary teaching hospital. Clinical records and vaccination record of 2574 couples with embryos transferred between 1 March 2021 and 30 September 2021 were screened for eligibility of this study. PARTICIPANTS/MATERIALS, SETTING, METHODS: Clinical and vaccination data of infertile couples planning for FET were screened for eligibility of the study. The reproductive and neonatal outcomes of FET women inoculated with inactivated Covid-19 vaccines or not were compared. The primary outcomes were live birth rate per embryo transfer cycle and newborns' birth height and weight. Secondary outcomes included rates of ongoing pregnancy, clinical pregnancy, biochemical pregnancy and spontaneous miscarriage. Multivariate logistical regression and propensity score matching (PSM) analyses were performed to minimize the influence of confounding factors. Subgroup analyses, including single dose versus double dose of the vaccines and the time intervals between the first vaccination and embryo transfer, were also performed. MAIN RESULTS AND THE ROLE OF CHANCE: Vaccinated women have comparable live birth rates (43.6% versus 45.0% before PSM, P = 0.590; and 42.9% versus 43.9% after PSM, P = 0.688), ongoing pregnancy rates (48.2% versus 48.1% before PSM, P = 0.980; and 52.2% versus 52.7% after PSM, P = 0.875) and clinical pregnancy rate (55.0% versus 54.8% before PSM, P = 0.928; and 54.7% versus 54.2% after PSM, P = 0.868) when compared with unvaccinated counterparts. The newborns' birth length (50.0 ± 1.6 versus 49.0 ± 2.9 cm before PSM, P = 0.116; and 49.9 ± 1.7 versus 49.3 ± 2.6 cm after PSM, P = 0.141) and birth weight (3111.2 ± 349.9 versus 3030.3 ± 588.5 g before PSM, P = 0.544; and 3053.8 ± 372.5 versus 3039.2 ± 496.8 g after PSM, P = 0.347) were all similar between the two groups. Neither single dose nor double dose of vaccines, as well as different intervals between vaccination and embryo transfer showed any significant impacts on reproductive and neonatal outcomes. LIMITATIONS, REASONS FOR CAUTION: The main findings might be limited by retrospective design. Besides, inoculations of triple dose of Covid-19 vaccines were not available by the time of data collection, thus the results cannot reflect the safe use of triple dose of inactivated Covid-19 vaccines. Finally, history of Covid-19 infection was based on patients' self-report rather than objective laboratory tests. WIDER IMPLICATIONS OF THE FINDINGS: Eligible individuals of inactivated vaccines against Covid-19 should not postpone vaccination plan because of their embryo transfer schedule, or vice versa. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the Medical Key Discipline of Guangzhou (2021-2023). All authors had nothing to disclose. TRIAL REGISTRATION NUMBER: N/A.

Effects of pandemics uncertainty on fertility.

The COVID-19 pandemic has affected various dimensions of the economies and societies. At this juncture, this paper examines the effects of pandemics-related uncertainty on fertility in the panel dataset of 126 countries from 1996 to 2019. For this purpose, the World Pandemics Uncertainty Indices are used to measure the pandemics-related uncertainty. The novel empirical evidence is that pandemics-related uncertainty decreases fertility rates. These results are robust to estimate different models and include various controls. We also try to explain why the rise in uncertainty during the COVID-19 pandemic has resulted in the fertility decline.

Births in the United States, 2021.

This report presents selected highlights from 2021 final birth data on key demographic, healthcare use, and infant health indicators. The number of births, general fertility rates (GFRs) (births per 1,000 females aged 15-44), age-specific birth rates (births per 1,000 females in specified age group), vaginal birth after cesarean (VBAC) delivery rates, and preterm (less than 37 weeks of gestation) birth rates are presented. Results for 2019, 2020, and 2021 are shown for all births to provide context for changes in birth patterns noted during 2020, the first year of the COVID-19 pandemic (1,2). VBAC and preterm birth rates are shown for the three largest race and Hispanic-origin groups: non-Hispanic White, non-Hispanic Black, and Hispanic.

Key issues in the effectiveness of public financial tools to support childbearing the example of Hungary during the COVID-19 crisis.

The propensity to have children, which, according to the view accepted in the literature, is a good predictor of actual childbearing, is of particular importance in countries with low fertility rates and economic prosperity. In this paper, we report the results of a representative survey of 15,700 respondents in 2021 of university students in an emerging market economy in Central Europe, mapping their intentions to have children. The PLS-SEM data analysis method was used to test our hypotheses on the relationships between social, economic, and environmental variables of childbearing. Our results confirm the dominant role of socio-cultural inclusiveness in childbearing, over socio-economic and environmental-economic factors. The novelty of our research lies in the impact analysis of family policy incentives; however, our results are consistent with those documented in the literature, namely, the primacy of socio-cultural factors in the willingness of childbearing.

[The characteristics of reproductive demographic processes in economically developed countries in conditions of COVID-19 pandemic: international publications review].

The article presents current trends in reproductive demographic process economically developed countries. Today, the total fertility rate in all European countries is below the minimum required to ensure population reproduction in long term - 2.1 children per woman during her life. According statistic data, 4.167 million children were born in the EU in 2019 that corresponds to 9.3 births per 1000 of population. In the EU, 1.53 children went to one woman in 2019 (in 2018 - 1.54). The lowest total fertility rates in 2019 were registered in Malta (1.14), Spain (1.23) and Italy (1.27). In the United States, fall of rate of childless women with higher education disputes well-established observation of positive relationship between education and childlessness. The infertility affects approximately 8-12% of couples worldwide, at that in developed countries, up to 15% of all couples are infertile. In connection with the problem of birth rate reduction in developed countries, researchers highlight such problems as increasing of average age of mothers at delivery (30-35 years and older) and intervals between labors, development of subsidiary reproductive technologies, pregnancy outcomes, newborns health in short and long perspective. The global COVID-19 pandemic resulted in resources deficiency, complexities with medical services support related to reproductive health, risks for maternal and perinatal outcomes in pregnant women with COVID-19. However, actually still there is no complete picture of pandemic impact on global indices of reproductive demographic process.

Impact of the COVID-19 pandemic and multiple community lockdowns on total live birth rates and preterm births in Melbourne, Australia.

We evaluated the impact of the COVID-19 pandemic and Melbourne's multiple community lockdowns (between 2020-21) on total live birth rates and preterm births in a large health network. Analysis revealed a decrease in total live birth rates following easing of initial lockdowns, and a sharp increase in births at one stage in between lockdowns. The proportion and number of preterm births (<37 weeks gestation) decreased at the start of initial lockdowns with the strongest decrease after the end of the second lockdown period. Births <34 weeks gestation also decreased during lockdowns, but no significant change was identified for births <28 weeks gestation.

Socioeconomic Disparity in Birth Rates During the COVID-19 Pandemic in New York City.

Background: The differential impact of the coronavirus disease 2019 (COVID-19) pandemic across race, ethnicity, and socioeconomic status remains poorly understood. While recent explorations into birthrates during the pandemic have revealed significant declines, how birthrates may have differed between racial and socioeconomic subgroups during the pandemic remains to be detailed. Methods: Using electronic health records from a large hospital network in New York serving a racially and socioeconomically diverse population, we explored birthrates associated with conceptions that occurred during the COVID-19 pandemic lockdown for demographic and obstetric differences. Results: Two thousand five hundred twenty-three unique patient deliveries corresponded with conceptions that occurred during the COVID-19 pandemic lockdown in New York. Compared to the same period the previous year, there was a 22.85% decrease in births. Explorations into differences in birthrates by socioeconomic status revealed that much of the decline could be explained by fewer births among individuals living in higher socioeconomic status as opposed to individuals living in urban economic poverty [χ2(n = 5588) = 18.35, p < 0.01]. Conclusion: On March 22, 2020, New York instituted a prohibition of all nonessential social gatherings and the closure of all nonessential businesses. Although the full impact of the COVID-19 pandemic on reproductive health and outcomes remains largely unknown, the decreased birthrate associated with the initial COVID-19 wave in New York was not entirely unexpected. While the mechanisms that drive health disparities are complex and multifactorial, most of the decrease occurred among those living in higher socioeconomic status. This finding has important implications for understanding health behaviors and disparities among minorities living in low socioeconomic status.

IVF under COVID-19: treatment outcomes of fresh ART cycles.

STUDY QUESTION: Does prior severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in women undergoing fertility treatments affect the outcomes of fresh ART cycles? SUMMARY ANSWER: SARS-CoV-2 infection does not affect fresh ART treatment outcomes, except for a possible long-term negative effect on oocyte yield (>180 days postinfection). WHAT IS KNOWN ALREADY: A single previous study suggested no evidence that a history of asymptomatic or mild SARS-CoV-2 infection in females caused impairment of fresh ART treatment outcomes. STUDY DESIGN, SIZE, DURATION: Retrospective cohort study, including all SARS-CoV-2 infected women who underwent fresh ART cycles within a year from infection (the first cycle postinfection), between October 2020 and June 2021, matched to non-diagnosed controls. PARTICIPANTS/MATERIALS, SETTING, METHODS: Patients from two large IVF units in Israel who were infected with SARS-CoV-2 and later underwent fresh ART cycles were matched by age to non-diagnosed, non-vaccinated controls. Demographics, cycle characteristics and cycle outcomes, including oocyte yield, maturation rate, fertilization rate, number of frozen embryos per cycle and clinical pregnancy rates, were compared between groups. MAIN RESULTS AND THE ROLE OF CHANCE: One hundred and twenty-one infected patients and 121 controls who underwent fresh ART cycles were included. Oocyte yield (12.50 versus 11.29; P = 0.169) and mature oocyte rate (78% versus 82%; P = 0.144) in all fresh cycles were similar between groups, as were fertilization rates, number of frozen embryos per cycle and clinical pregnancy rates (43% versus 40%; P = 0.737) in fresh cycles with an embryo transfer. In a logistic regression model, SARS-CoV-2 infection more than 180 days prior to retrieval had a negative effect on oocyte yield (P = 0.018, Slope = -4.08, 95% CI -7.41 to -0.75), although the sample size was small. LIMITATIONS, REASONS FOR CAUTION: A retrospective study with data that was not uniformly generated under a study protocol, no antibody testing for the control group. WIDER IMPLICATIONS OF THE FINDINGS: The study findings suggest that SARS-CoV-2 infection does not affect treatment outcomes, including oocyte yield, fertilization and maturation rate, number of good quality embryos and clinical pregnancy rates, in fresh ART cycles, except for a possible long-term negative effect on oocyte yield when retrieval occurs >180 days post-SARS-CoV-2 infection. Further studies are warranted to support these findings. STUDY FUNDING/COMPETING INTEREST(S): None. TRIAL REGISTRATION NUMBER: 0010-21-HMC, 0094-21-ASF.

Excess mortality caused by the COVID-19 pandemic negatively impacts birth numbers in European countries.

STUDY QUESTION: How did the coronavirus disease 2019 (COVID-19) pandemic affect live birth numbers in Europe? SUMMARY ANSWER: In 14 European countries with validated datasets on live birth numbers during the ongoing COVID-19 pandemic, excess mortality was inversely correlated with live birth numbers. WHAT IS KNOWN ALREADY: Since March 2020, in order to minimize spread of severe acute respiratory syndrome coronavirus 2 and reducing strain on the health care systems, many national authorities have imposed containments and restricted both indoor and outdoor recreational activities. Historical events, such as electricity blackouts, have repeatedly been shown to exert incremental effects on birth numbers. STUDY DESIGN, SIZE, DURATION: We evaluated the effect of the COVID-19 pandemic and the containments on reproduction and birth numbers in 14 European countries with complete and validated datasets, until March 2021. PARTICIPANTS/MATERIALS, SETTING, METHODS: The national demographic offices of 20 European countries were requested to provide the monthly birth numbers from 2015 to March 2021. Among them, 14 countries provided those data. Taking into account seasonal variations, the live birth numbers were compared with excess mortality at two different time intervals during the pandemic. MAIN RESULTS AND THE ROLE OF CHANCE: At 9 months after the initiation of containments in many European countries, 11 of 14 European countries (78.5%) experienced a decline in live birth numbers, ranging between -0.5% and -11.4%. The decline in live birth numbers was most pronounced in eight European countries with the highest degree of excess mortality. From January to March 2021, live birth numbers continued to decline in 5 of 8 European countries with high excess mortality, whereas live births started to recover in 8 of 14 countries (57.1%). LIMITATIONS, REASONS FOR CAUTION: The live birth numbers of some key European countries were not available. WIDER IMPLICATIONS OF THE FINDINGS: The demographic changes linked to the COVID-19 pandemic may add to the overall socio-economic consequences, most particularly in those countries with pre-existing reduced reproduction rates. STUDY FUNDING/COMPETING INTEREST(S): This study did not receive specific funding. The authors have no conflicts of interest to declare. TRIAL REGISTRATION NUMBER: N/A.

Preterm Singleton Birth Rate during the COVID-19 Lockdown: A Population-Based Study.

OBJECTIVE: The aim of the study is to evaluate the effect of the coronavirus disease 2019 (COVID-19) pandemic national lockdown period on the rate of singleton preterm births in Israel. STUDY DESIGN: This is a population-based cohort study of 3,41,291 singleton infants born in the months of January to July 2017 to 2020. Multivariable logistic regression analyses were used to estimate the influence of period and year on the rates of preterm births during the lockdown period (11th March - 5th May 2020) compared with rates before (January 1st 2020 - March 10th 2020), and after the lockdown (May 6th 2020-June 30th 2020) and to the corresponding periods in 2017to 2019. RESULTS: During the lockdown period the preterm birth rate (primary outcome) decreased by 9.7% from 5.05 to 4.56% in the pre-lockdown period (p = 0.006), an adjusted decrease of -0.52% (95% confidence interval -0.89%; -0.15%), odds ratio 0.898 (95% confidence interval 0.832; 0.970). CONCLUSION: The rate of singleton preterm births declined by 9.7% during the COVID-19 pandemic national lockdown period in Israel. KEY POINTS: · A 10% decline in all preterm deliveries was observed during the COVID-19 pandemic national lock-down period.. · The lock-down might influence environmental changes which contribute to the decrease in preterm deliveries.. · Changes in lifestyle, and societal behavior might contribute to the decrease in preterm deliveries..

Performance Evaluation of Regression Models for the Prediction of the COVID-19 Reproduction Rate.

This paper aims to evaluate the performance of multiple non-linear regression techniques, such as support-vector regression (SVR), k-nearest neighbor (KNN), Random Forest Regressor, Gradient Boosting, and XGBOOST for COVID-19 reproduction rate prediction and to study the impact of feature selection algorithms and hyperparameter tuning on prediction. Sixteen features (for example, Total_cases_per_million and Total_deaths_per_million) related to significant factors, such as testing, death, positivity rate, active cases, stringency index, and population density are considered for the COVID-19 reproduction rate prediction. These 16 features are ranked using Random Forest, Gradient Boosting, and XGBOOST feature selection algorithms. Seven features are selected from the 16 features according to the ranks assigned by most of the above mentioned feature-selection algorithms. Predictions by historical statistical models are based solely on the predicted feature and the assumption that future instances resemble past occurrences. However, techniques, such as Random Forest, XGBOOST, Gradient Boosting, KNN, and SVR considered the influence of other significant features for predicting the result. The performance of reproduction rate prediction is measured by mean absolute error (MAE), mean squared error (MSE), root mean squared error (RMSE), R-Squared, relative absolute error (RAE), and root relative squared error (RRSE) metrics. The performances of algorithms with and without feature selection are similar, but a remarkable difference is seen with hyperparameter tuning. The results suggest that the reproduction rate is highly dependent on many features, and the prediction should not be based solely upon past values. In the case without hyperparameter tuning, the minimum value of RAE is 0.117315935 with feature selection and 0.0968989 without feature selection, respectively. The KNN attains a low MAE value of 0.0008 and performs well without feature selection and with hyperparameter tuning. The results show that predictions performed using all features and hyperparameter tuning is more accurate than predictions performed using selected features.